By Risman | At 18.48 | Label : | 0 Comments
A.
Pengumpulan Data
Data
adalah informasi yang diperoleh dari suatu pengamatan, wawancara, penelitian
yang dikumpulkan dalam bentuk angka atau lambang.Misalnya dengan memperhatikan
teman-temanmu, ada yang tinggi, pendek, kurus dan ada yang gemuk. Cobalah
mengenal mereka dengan ciri-ciri yang mereka miliki. Ciri-ciri mereka dapat
kita tulis dan kita kumpulkan. Dengan menulis dan mengumpulkan ciri-ciri mereka
berarti kita telah mengumpulkan data. Jadi data yang bisa dikumpulkan dapat
berupa tinggi badan, berat badan, ukuran sepatu, jumlah murid laki-laki dan
perempuan, lingkar pinggang, lingkar kepala, dan lain-lain.
Contoh
Budi, Eka, dan erwin sedang menanyakan olahraga yang digemari siswa kelas VI SD Muhammadiyah 02
Budi, Eka, dan erwin sedang menanyakan olahraga yang digemari siswa kelas VI SD Muhammadiyah 02
Hasil
yang diperoleh dicatat dalam tabel seperti berikut.
No
|
Jenis Olahraga
|
Banyak Siswa
|
1
|
Tenis meja
|
2
|
2
|
Bulu tangkis
|
3
|
3
|
Renang
|
7
|
4
|
Kasti
|
8
|
5
|
Sepak bola
|
6
|
6
|
Voli
|
4
|
Tahukah kamu apa yang mereka lakukan? Kegiatan yang
mereka lakukan merupakan suatu cara untuk mengumpulkan data.
B.
Penyajian Data
Kita telah mempelajari tentang pengumpulan data. Data
yang telah dikumpulkan dapat disajikan dalam bentuk tabel dan diagram. Data
yang telah disajikan dalam bentuk diagram dapat mempermudah dalam membaca dan
menafsirkan data tersebut. Ada empat macam diagram yaitu diagram gambar,
diagram batang, diagram lingkaran dan diagram garis.
a. Menyajikan Data dalam Bentuk Tabel
Misalnya nilai ulangan matematika kelas VI C adalah sebagai
berikut :
6, 6, 5, 7, 8, 8, 4, 9, 8, 8, 9, 9, 6, 4, 7, 7, 8, 9, 10, 8,
8, 9, 9, 4, 5, 5, 8, 9, 7, 7, 6, 9, 8, 7, 7, 8, 9, 8, 10, 10.
8, 9, 9, 4, 5, 5, 8, 9, 7, 7, 6, 9, 8, 7, 7, 8, 9, 8, 10, 10.
Nilai
|
Banyak Siswa
|
4
|
3
|
5
|
4
|
6
|
4
|
7
|
7
|
8
|
11
|
9
|
8
|
10
|
3
|
Jumlah
|
40
|
b. Menyajikan Data dalam Bentuk Diagram Garis
Dari nilai ulangan matematika kelas VI diatas dapat
disajikan ke dalam diagram garis.
c. Menyajikan data dalam Bentuk Diagram Batang
Dari nilai matematika kelas VI diatas dapat disajikan ke
dalam diagram batang sebagai berikut
d. Menyajikan Data dalam bentuk Diagram Gambar
Dari data nilai matematika kelas VI diatas dapat disajikan
ke dalam Diagram Gambar
Penyajian pada diagram gambar hampir sama dengan diagram
tabel hanya saja pada diagram gambar frekuensi ( banyak data) diganti dengan
simbol atau gambar.
Berikut ini contoh data hasil panen suatu desa :
Tanaman
|
HasilPanen
(ton)
|
Padi
|
400
|
Jagung
|
200
|
Ketela
|
300
|
Kelapa
|
100
|
Jumlah
|
1.000
|
1. Penyajian diagram lingkaran dalam bentuk derajat
a. Padi
= 144
b. Jagung
= 72
c. Ketela
= 108
d. Kelapa
= 36
Sehingga
data tersebut apabila disajikan dalam diagram lingkaran menjadi seperti di bawah ini :
2. Penyajian diagram lingkaran dalam bentuk persen
a. Padi
= 40%
b. Jagung
= 20%
c. Ketela
= 30%
d. Kelapa
= 10%
Sehingga data tersebut apabila disajikan dalam diagram lingkaran menjadi seperti di bawah ini
C. Pengolahan data
Setelah menyajikan data dalam
bentuk diagram kemudian kita menghitung nilai data tertinggi dan data terendah,
modus, median dan rata-rata.
Nilai
|
Banyak Siswa
|
4
|
3
|
5
|
4
|
6
|
4
|
7
|
7
|
8
|
11
|
9
|
8
|
10
|
3
|
Nilai
|
Banyak Siswa
|
Jumlah Data ( Nilai x Banyak siswa )
|
4
|
3
|
12
|
5
|
4
|
20
|
6
|
4
|
24
|
7
|
7
|
49
|
8
|
11
|
88
|
9
|
8
|
72
|
10
|
3
|
30
|
Jumlah
|
40
|
295
|
1.
1. Rata- rata Rumus
menghitung rata-rata
Jumlah semua data
Banyak Data
Rata-rata =
= 7,37
Jadi,
nilai rata-rata adalah 7,37
2. Modus
Modus adalah nilai dari suatu data yang sering muncul
atau nilai dengan frekuensi tertinggi atau terbanyak
Contoh dari data di atas nilai yang sering muncul atau
modus adalah 8
3. Median
Median adalah nilai tengah setelah data diurutkan dari
setiap penyajian data. Jika jumlah datanya ganjil, maka :
Median = suku yang tepat berada ditengah
Jika jumlah datanya genap, maka :
Median =
Contoh 1
Data berat badan siswa kelas VI SD Harapan Bangsa sebagai
berikut :
32 34 34 33 34 33 32 35 34 3233 34 34 32 33 34 32 33 33
34
Tentukan Median dari data diatas :
Jawab
Data terlebih dahulu diurutkan :
32 32 32 32 32 33 33 33 33 33
33 34 34 34 34 34 34 34 34 35
Medianya adalah
=
=
= 33
Contoh 2
Data ulangan bahasa indonesia Nanda selama semester 2
adalah sebagai berikut :
8 7 7 6 9 8 9
Berapa median dari data ulangan tersebut ?
Jawab :
Data terlebih dahulu di urutkan
6 7 7 8 8 9 9
d D. Menafsirkan Data
1. Menafsirkan data dalam bentuk diagram batang
Perhatikan diagram batang
yang menunjukkan hasil ulangan Matematika dari 30 orang siswa. 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o6GpqiU5Yusk5LTR3NnQfyDUoMABgElBhBEARh9zQ+8o++kNbYxmDiC/J+d/KadDfkDLajd4DnieEVW0BSUGIAwCCgxAiC8GmJ0VFzniS7NLLQ/24iYLfff63vmhdBfP8txaISR4ZHyHpPgWKCEgMABgElRhCE1ezkGaTrgo3sEh0C05Kio4zvJzysob13bnjtNJAUlBgAMAgoMYIgfGp8VKS5U8LTelb/SeyUqJgt3tjYbt5754YSA0lBiQEAg4ASIwiCIMzuJufAyI2e6U8KGnC1TZjUzPPBeaH1NIbw/fNCiYGkoMQAgEFAifvxqKSc8urgwqrYkvrksqbibuYHvgMCSgwkBSUGAAwCSvwOPo/BGeAF02KgxEBSUGIAwCCgxBKDEgNJQYkBAIOAEksMSgwkBSUGAAwCSiwxKDGQFJQYADAIKDFKwO2l0tpIVCL5zdbeQyUxee+9jQlKDCQFJQYADAJKjCAIglDrCDd9wlY/C9/0ImLTi4hNLyK3ukX99Drds4rMeve8UGIgKSgxAGAQUGIEQXjkwMi4TU/Df/VN2e2X/Jdv8l7/xE0PfPQep71uYL53bigxkBSUGAAwCCgxglBbqjyzy+Kbe+ksDpvFZrE4PHqbm2/Yn+EVJe+HGEoMJAYlBgAM4pMqsYA3pPsgJpVGYb/9dHA7/q+X0VcKutgDnB2+AQJISmYl9vf3FwoH+GA4AIA8+6RKzC4urUyo7KIM95iAS0hP2OiVHUh8/0OnEbESR0dGDfOKwGdCZiUOCAwc7bUCACSmsCVm9fbg8OWeGcWuqcUv04pcUovc0ovueoWtcE1za6AP76Lb7nuHH4irrX/zcZd2NjbLFy9Z+/3qtd+vnmNuoaOhqaOhudR6MXrKd998e/bMmQcPnBwdHBwdHGxtbKKjouj0vr1obm5+6eZma2ODTu1sbd1fv+7o6ECnDAbD19f37p076NTRweHO7dt1tbWiq8ZgMLdv3RJNbe7eLcDhRMc9ubm5Dx88sLO1FV11fHw8k9n3oHp9fb3Lixeiq3awt7e5e7epqQmdUqlUDw8Pm7t3RVNbG5vi4mLRVfv6+t65fVt01Xa2tslJSWx23wMFmRkZD5yc7O3s0Km9nZ2vj08vhYJOq6urnz97Jn7Vdra2RCIRnZLJZDdXV/GpvZ1deVmZ6KofP3x07OjRUydPnzxx+sTxUyeOn3r08ElUZEx8XEJcbMIDp4enTp05cfzUyRN9Z7h1805YaER8fGJcbEJQYPDFC5eOHzshmp48cToYE5IQnxQXmxAbE3/50tVjR4+fPnXq9KlTt27evOfoWFNTg16vUChMiI+/f+8eui4He3tHB4fs7Gw+v++D10pLSx89fIje4A729g729sHBwSxW3+v6iETi0ydP7WxsRbeJk5NTQ0NDWFjYLLOZUi3xubUrTAwMduzY6WBvf8/R0c7W9tHDhy0tLeiOMZnMx48eif6e2NvZOd13KiwsRP8icTic8LAw0XrRS4iOikJXLRAI8vPz79+7Z2dnd/3atdOnTp08cfzihQsx0VEJ8XHxsbEju8XGxCQnJYn2HIDPgWKWWEBqfBIUsdA+YK6jn5m9/6x7gQvuB86/F2Bu4635MOVZVe9wLpxRjd3qFneXQBF7kG/Xjp1KSkrjx4wdP2ashqqaoa6egY7uVOVJ6Clf/vcLAx3dWTPNzU1NzU1Np+vqXb96lUwmoz9bWlq6af16Q109dGpiOP33X3+t7W9tb2/vjj/+0NPWRqczZ5jqaWmnJCeLrvrgvv06GpqiqaGunq+Pj2jq7e29eNEiE8Pp6NRI38D27l0ajYpOcVjsmu9XT9fT7//xGYa6enm5uei0u7t760+bDXR0RVMjfYNgDEZ04Tt+/11P682OmRhOd7p3j8FgoFM3V9eFCyxnTDdCpzOMjPfv3dve3o5OMzMzv/nqK2N9A/THzUxmmBhOJ+Dx6LS1tfXHH9aIdszMZMYMI+O42FjRVa9d/YPKpMm6mlp6WtroZmI4fdbMmbPNzWfPNDcxNNTX1tbT0tbT1tbT1tbT0p6up29hZoZOzU1NDXR09LS0RFM9bW0LU9M55uazZ5rPnmluoKurq6mFbkYGhhZmM9PT0kRXfc/Rcd7sOaZGxuiOWZiaub9+zeX2/VoWExNjbbXQZLoROjWfYXr2zBkare/LM6uqqpYvWWpsMB1d1wwj4/mz5+Tl5UVEREi7xOd/XDldR9fIEL1qM5PpRgsXWJb0/15FJpOtraxMDI1EO7Zg7ryQ4GC0xEwm8/KlSxZmM81MZpibmpoam8wxt7hz+zaPx0MQhM/n+/r4zLGYZWpsbGxoqKuppaOpqaetY2E2c9ZM81lmI7zNmG601HpxQny8JP9oAVBsClliYR0u+4RX3NWsuuyC/COYzLtZ9YUNbdiK8juBqXbZLcTBPzf6I5gZcTE/++ESSOKPcd+8dn3erDkrly5buXSZ+QxT9E7cct589JRFllZ2NjbRUVHBGEwwBhMYEJCflyc6Turs7IyPiwsMCECnmMDAxIQESv+xI4vFSk1NDfD3R6fBGIy/n5+oZwiCZGdm+fv5iaaBAQE11dWiY+LKysqwsDBMUBA6DQoMLMDhOBwOOm1vb4+NiRFddTAGE+Dv39XVhU4ZDEZSYqL4VQcGBNTV1YkuPC01VfyqgwIDi4qKRE0iEAhhoaGiq8YEBaWmpND7O93S0hIdFRUUGCiaBgUGin47odFob90mQUGYoCDRwTqCIKdPntbV0lm/Wu36+al3r029fWXqrUuTb1yYdOOC8o0LyrcuTb59ecrtK1NF263LU25c7JvevDjpnentK1Nv9k9vXFC+c2XK6SNqptM1tNW1b928GRIS0tbWJrrqwsLC0JAQdF3o/5aXlYmOiRvq6yPCw0XrCsZgsrOzRTc4iUSKiowUX3VYaCiRSAwLDZtlJt1Hp8+uWT7D0PD06dOYoKCQ4OCgwMDwsDDRnzWHwxHfbXTHampq0D9rHo+Xm5sbjAkWrTokOBiLxaIv/hIIBJWVlWGhoYEBASeOHTPQ0TWftXjVhoPfrj/4zbr9I7itWn9o5eq/9A1mms8wjYmGp37AZ0QhS8zDZWIDC5opCIIg9IRU7OuCdvSRYEYl7m5cYWTHgM/v/jO9dRc9Ik+mtXS99bIXoVAo6Hfk0GH0eeLw0DDRicNYDRjAo4ePZ0yf4WQzmd39L4SlhNBGdGMo1eO/XDRfXUNNT/xoWHpk9zxxQIBUF+Lt6WFsaPTtuv1XnuRfdy669qxgBLcbL0rO30+3XrF1joVFbEy0VBcCgFxRyBILGwvzbKLzXlcQK0isrprS+5HZrmWkThq9qSjru8eRZ3BdQz0qFnYXZ2z1THOue+/zPN4QvWIrKiJyiFcDPubhg0czps94YDuZ0/MvhK2E0Ed0Yyo1EPpKnJaaKoPlfBqvnRYIBF4e7saGRt+uO3D1af6NF8XXnxeM4HbTpfSCU7r1im1QYvC5UcgSI0hv6zNMqNElt5UBhNJeRnFe5o6noVtfRn9r767lmPCsmjbEEgsoIaFRB8LLigZ4G7EIvJ9YBtASO9lMZnX9C2EqIdQR3ehKdaV9JU5NSZHBcj6N9xPz+XxP99f9x8R5150Lrz3DjeB240Xx+ftpcEwMPkMKWmIEEZA7QjKxDwtbGzgIwqVk5WP/9oz9xTfDqbijbaB3Af8TvLbSXS+jLuZ3DhZiKLEsQImhxFJaBQBySDFLzOqlkljvHvfymQwKc1gv1iLX4G2S8IkdnEHPBSWWASgxlFhKqwBADilmibsrCx2isl5XURgjeqfDYbGoTC7/I0+zQYllAEoMJZbSKgCQQ4pZYiI+705Q7DlMxtmQDLusupIuFlt2n/AHJZYBKDGUWEqrAEAOKWaJad1dNcSeZnJvVVNzPK70QVja2bCcV8Vtdb0cNl8gkG6VocQyACWGEktpFQDIIcUs8Vux5bOJXR2xyanrH/joOIbtjsDnd7Kl+f5eKLEMQImhxFJaBQBySDFLTG5tLW3ubGOwiB3EJGzBeY9Qa3tfM8fARS/iLyRX43u4UGIFByWGEktpFQDIIcUscScBeysweufrqGV3X0+47jPrefzZeHxsLalHqgfDfaDEMgAlhhJLaRUAyCHFLDGpPG/XUy/zJ3F/+CRsck88E4tPaSaTh/UOJnH83u6uvKrGuMqOehr3vSedocQyACWGEktpFQDIIcUscXtp/oO4/Mg2NoIIuWRidG6xczL2aRohuJzYRB9WkHnkjpBMrF1UzsMErGNqVX4XC0o8GqDEUGIprQIAOaSYJab1kIjUN40U0nqy0lN/sHmlcsN3rV9BXOsQP+CD0lJ10ytsvXeOdzX5wx+zBSWWASgxlFhKqwBADilmiXuJbUUNrZXEbmxR6Z2wlK3OwRZ3vKweRx+OxD3CNhR2D+XpYlJj+Xlnv699sIk9g3dcVOLI8Igh7j/4GCgxlFhKqwBADilmiTvxeUfdAhY9CV1g42Fsh9kWkPe0sBHb3ksb8tch9jTYevhpOSW9avzoh1afOHps4pfjJo2bEBsdM9SrAx8BJYYSS2kVAMghxSwxuSxv2yPPRS8zHmOb8tt7e977DGoJsYvTk5fceL0+siKjti0hr8Qrv67orQNrJ8d733+zavPGTZs3bpo/e462uoaOuubXK1aip6xetSorM3N4uwDeAiWGEktpFQDIIcUscVcFPgBXWUAbobscaqONT7D6Na9vPNIfZZRhUrIOu2DmPol3KO3uv4ZdO3YqKSmNHzN2/JixGqpqhrp6Bjq6U5UnoacoKSlhgoJGZl8AgiBQYigxlBh8ThSzxFw2m8FiM9gcGofPQxBEwOtob0sh1CU3krvff9vRRy+toXj3U4+xD9NdqilUNo/D5baW5W11cld7nOXfxBQiCIJcvXR5ponpYquFi60Wmhmb6Gpq6WpqzbWYhZ5ibmqWmJAw4qv8nEGJocRSWgUAckgxS0xtrXsVm3Y9Ii+oopvE4zaW5v/+0Mfgrt+cR5GnM5oaJXzBVg8h9zcn1/GuuKjO/ke5uR3uQWG6VwLP5Hf0IgiC8Hg8NpvNYXM4bM7fBw+hr9gKwQSjp7DZbOnd/X2eoMRQYimtAgA5pKAlriw4G5RsW9xJESCclrJTzp5TbCKOJ1akl5RewuS8KusZ/BuG38GqK9z5+NWXLtiIDq7otLykxMU3fA5lt/W8e/Zjfx9BSxwdGTUSiwEDgBJDiaW0CgDkkEKWWFCcjcMUNHUhCCLsjY2NnnHNY3NcfQsXQRBBcVZRaEFLh0SXR2286xEw1SnNs0n0LmJ+WXriYtvgC0XdrHfPDe8nlgEoMZRYSqsAQA4pZIn51Vicc3pFEYnWUJq7xfGV9rPsUCIXQRCE0/EyOu9lSdeHP5djQJw6bPo3tv6709to6AmCrtcB4as8C5J6uO+dGUosA1BiKLGUVgGAHFLIEiNcUnNwUtphj6jlNh5GjlH3y3rpTGoJnmDrF6r/KNG+olfiS2SToxPjNjjH385swNU3hyWl/R2YF9rEGOj9yVBiGYASQ4mltAoA5JBilhhBEA6lK7GQ4JRRHtHQSxciCItSQih7nlp0J6sWK+khcd8lUgvLKjyyCKEFVSEFdYWd73/iNApKLANQYiixlFYBgBxSnBILBEKh8KPvUOJVVDUXN1OGfl8k4FJZg39SF5RYBqDEUGIprQIAOaQoJe5quBcY9UdUZQkNQRCkrbzkvFfEV24xa17G/OAWvdot+ge36DUvY9a4hs1+ke5SRZH4PcUSgBLLAJQYSiylVQAghxSkxIK2ijMu3tbexZlkBEEQVn3R7sfu4655G9j4GopvdzyUnZIfV1OluS9QYhmAEkOJpbQKAOSQgpQYEXB7emntVDYbPdrldnknF7ji2jtZHLL4RusMyCpPqB3yo9MCLpfLYHOYbC6LzaFxeNwBLghKLANQYiixlFYBgBxSlBK/S0gm03roA3yAB5vFYXCG+JVM1MbKx2EJ+7wTj4+JmE0AACAASURBVPolHfZOuJPdVM98/3FuKLEMQImhxFJaBQBySFFL/A4hwhvyFyL243T6RMaveRiy6kXk9y/Clz+LtS/sIA3whDOUWAagxFBiKa0CADmkKCUWcEhUGpFM76FQW7tI9SQGre+bHgTUrvawnMLb0TnXEvEh9b1D/X4mQXtx/t0kfHIHg0Wjd5B620hM+kCPTUOJZQJKDCWW0ioAkEOKUmI+s5pQctU3ertPqmNiaVRVVztbiCCC7sbKO68C1C+6Kt/wmWvjNdsp6lZBN2kI31ZMb7nvF/mrb457eVvtR2IOJZYBKDGUWEqrAEAOKUqJEaStIPOXp8F/xFVnt/SS2Xw+ggjJTU4+gWqXXs11S39S1FxY2xwaF7/OI9u9QdJP9uC3FaR/b+OidMZ1yk3/b93TnAraW9kfOrOoxJHhEcNcE/gQKDGUWEqrAEAOKUqJhfSE+IzbCTX1b4536bmpSUtvuU59kPi8itb3fK6gwzk4xTa7hSzZpQtIHcQkQp0/jmAfHL3w1kuV20EHU5s/EPSTx45P/HLcpHET4uPih7oc8BFQYiixlFYBgBxSlBLTGq6E5dwreVNYakPp0edeY6/4705pIr7JMyMhJuNpekPLkK+ISa2uKj3h7Kt9J8KmlMToO/Xpo8eb1m3449ff/vj1N6t587WmqWura6xe9R16yqYNG3JzcoZ8leB9UGIosZRWAYAcUpgSN14Lybxb2N3/n23umDDDK26zPAuSu8SeFuZ1vorKeY7roA/rygSdhNz19q/XRNbU9D1GvWvHTiUlpfFfjB3/xVgNVTVDXT0DHd2pypPQU5SUlDBBQcO6SvA2KDGUWEqrAEAOKUqJhYy05JS//XICGuidpI7QmNglt14pOyY4VZDfdFjAa8HnHgrDBbS+/1WGEmI227oH/BhUXtyX9Avnzk/X1Z8/e8782XNMDKfraWnraWlbmJqhpxjpG8THxQ33OoEYKDGUWEqrAEAOKUqJEURIaXkVFr3U0d/C3tfkjrfRg9ibBZ29QgRBEC6L0dTampyV9ccDr699ClN7eMO9L2K32PtEnUpuau3rPIvFolKpNCqNRqUd2n9g0vgJUyYoB/oHoKdQqVTe8N/PDMRAiaHEUloFAHJIcUqMIIiAQcrGFdmGZVyPKYqu7+1/EhfpbqzxiMu4Gp59IzzrSkRBRB2FMdjFvIfPbu0m15PZ/R/jwW0szjkUigtuYQ107uNHjqKvnY6OjBr6WsCgoMRQYimtAgA5pFAllpbe+ruvg5Y+SbiZXRNUWheBK3aMxoXWkD/wXih4P7EMQImhxFJaBQByCEqMIAibkpWPPeIdu8EteotX8umkSmzPII81Q4llAEoMJZbSKgCQQ1DifgIOm0JlcD5+LwYllgEoMZRYSqsAQA5BiSUGJZYBKDGUWEqrAEAOfXIlpjPYdBZ3gK9QGjFQYhmAEkOJpbQKAOSQYpa4q6mF0NpNGWDCzCyuy6onD+E7IP4xKLEMQImhxFJaBQBySDFL3Fqc55ZVXvzum4z4LYT8be6pTuW9wz0mFgi4/A/doUGJZQBKDCWW0ioAkEOKWeIefPZ2t7Az+V2M/jsdIac3Lztz8z33/zokPqyiDuvSWZ1+YVH7oiqKaAOOocQyACWGEktpFQDIIcUscXd1mWt49K++WY9LunrZXHpX04vA8IV3vZe6xf0ZUpLYPHBC/xEBIystafmtF/P9Cfm9A54DSiwDUGIosZRWAYAcUswSIzyBEBEyiLVuiXl2sVkHXDGzHMMOJtVVMIQMGoNMYw310WleY1nRSdcA/Zuvl2DKcFDiUQMlhhJLaRUAyCEFKTGfx6HTGRQasxfd6EwanUVnsCl1+DMvfPXtIi5kNjVTOWw6OSa3KrWONLRXbFGbCHcjcB4JWdudveYHEKDEowdKDCWW0ioAkEMKUmIusc41OmmHV+Ie74S/vBN2922JB/ziNzzwX/Qw4lef1EO+Sfs8wq1d0l9UDZzQj+htcY1IfVjS09FUfuC5+xx/KPEoghJDiaW0CgDkkIKUGKE02HgFz7LHrHsV+8urmG1i228e8ds9Yn99Fb3tVcxvriFzndOdh1BiDjkiMe1Cal0NG0Ha8LueQolHF5QYSiylVQAghxSlxAivFFvsl1tNINN7KNQuMrrRuiliG5lKJncEZpQn1kj66DSnApt9Oao0k8RDEARpLkVLXDDwS7BPHT8x8ctxk8ZNSIxPGPaywMCePH76KZU4MjJSNiUOCAj4NEqcmBAvpVUAIIcUpsQIl8licAb/EmB+TXVtbElrG4Mr0X0Rqa70XjQuupXT99+t+N1P3ecGlJXQRWdxffHi959/3bd7z77de6wtrbSmqWtNU1+/9kf0lJ1/bA/w98eXluKwWBwWm5+XV1tTw+H0XV57e3tBQUF+fv6baW2taNrW1vb+lMvlik+x/VNsfn5dXZ1o2traWlBQgMVi+6ZYLJ5AYDL7vkOKTCaXlJTk5+WJpgQ8nsXqexM2iUR6d0ogvDUtLsa+meaXlZWJpj09PSXFxeJ7hc3Pp9P7bi4Wi4XH499ccn5+fn4+g9H3RZVMJvOjUywWe+b0WSN9owe2U2RWYnxpqfhe4XA4EomEjoRCYan4bZWfj8PhyGSyaFry3rS1pUUo7HvdYG1t7b1798yMTY6uspZeic+uWTbDcPqjR4/Qr8oWCoVtbW0FOBwWm9+3V1hsTU0N2ml0isPh0NPR/62trUX3ecBpfX09j8fz8nCXdokXr9xmbmr6+NFDdAfwpaWiW5JEIon2B/3HUlJSIvrLw2KxBpsymehfVNGUgMdTqdTCwkJfHx8P99eOdvaO9vaO9g6O9g6OdvYP7t/3cH/t6+09/M3L0zMkJKS5uVmCOyXwmVGcEr+DSyOXVlQF5OA9s/DeWaWemaXe2SX2PhHfu2d5NX/g+wwHxOsJDotc7ID5+lXCT+5xG93jNr4ImWXnbXgvdIVz9I289jYugiC7duxUUlIa/8WY8V+M0VBVM9TVM9DRnTpRGT1l7L//Y2ZsstTa2trSytrSaq7FLJs7dyiUvs8ACw8L++G77xbMmds3nTXLzsZGNA0NCVm9apX41N7OnkrtOxzHYDDff/utaDpv9ux7jo6iaWBg4HdiU8u58w4eOCD6B19YWLj1p81zZ80STQ8fOtTa2oJOC3C4zZt+Ep8eOXy4ra0NneKw2M0bNs6bNdva0sra0tJy3vyjR44QiUR0mp+fv2n9hnmz0anVwgUL5s+eQ8Dj0WlHR8evP/8yx8JCNF0wZ25FeTk6bW9v/2XrNvGp5bx5VVVV6LStvX3bli3zZs2eOcNMV1P3kb2qjEosRLaI3RpW8xcsXrgoOysb3Ss+n//Tho3zxKZLF1nn5ub2/U3kcjeuW9d/W1lZzV+wZJF1gL8/n89DEEQgENy/f3/enDn6WtrHv18mvRKfW7vCUEd3165d6K9iAoEgLDR0xdKllvPmW1taLZy/YMkiazsbW/RXQIFAEBIcvHzJUqv5C/pWZG3tYG+P/pLH5/MxQUHLFi8Wnz5wcmKz2d5entIu8fJvfzPQ0Z1jbmFttXDurNlbNv0kOsrPzMxE96fvn8Os2RvXrW9sbESnDQ0N70w3bdgo+udQW1u7cMGChQsWiP6h/bx1W11dnfPz52bGJqZGRgZaWuLbdG2dmUZGFiYmw9uMzU1MjPQNVn39dVZWlgR3S+Azo5glFpKbX4RELXYImOvob+7gP9sxcN69gHmOARY23tMeJD+qlOR5Yj4lM7/wVlDqWUzq2aDUs5i0Mx7h1vZeRk4Rf3gmu5V2dvAQBDlz8pT2NA3zGabmM0yN9A30tLT1tLRnTDdCT5kx3Wjbli3Hjh45dPDgoYMH9+7e7eHuLuplamrq6ZMn9+/dK5p6enqKpinJyadOnBCfenl50Wh974hOSkwUn+7bs8fX21t09JkQH3/y+HHR9MC+fXa2tqJelpeXX7l8ee/u3aKpg719R0dH37Ss7J2po4NDZ2cnOiUQCJcvXdq3Z0//dP89R8furi50isfjL124KJoePHBg3549DfX16LSnp+fmjRt7/vpLNN2/d6/o7rKrq+vG9etvTfftE91ddnZ2Xr96de+ePd989bW+tv5DOxWZHRNfu3r1za2xf//fhw6VlpaiI4FA8NZttX//kcOHCQRC318gHu/yxUt7d/ffGvsP/H3oUEJ8PJ/PR3/Wx9t7w/r1hrp6x79bIs1j4uVGenrHjh1HH7oQCASpKSlHjxw9sG+/aK/cX7/mcbnoNDk5+ejfRw7sF00Pe3p4oMfTfD4/KSnpyOG/30wPH/b18eFwON6eHtIu8dJvfjEyMNi0Yf2hQ4f27t597epV0TFxSUkJuj99/xx277l08WJ7ezs6JRKJ6J9O/z+lPZcvXRL9c2htazt44MDBAwdE/9BuXL/e1NT0+MEDdTV19dlLp60/OG3dAbFtv9rafarD3NYfUlu5deqECYsWWGZmZkpwtwQ+MwpZYmFDQfYxj5hzaTUpebkHgzJuZNTm1rRk4fHX/FPuZDW3D/4Y9nuXxufzubw3G6e++M8n7rP9SnN7+HwBeidAo9G6Oru6u7u7u7v379k7afyEKROUfb280VO6urrodDqbzWaxWSw2i8Vicblc0d0Hj8djs9ksFutDUxZqJH6WzWaLDiD4fP47P8tmswUC4SBT0SW/PWUPOu3bBdH1CoVCDocz6PTdnxVdslAoRC/5nuN9GT9P/M4+s9lsNKWo92+rD07ZLBabhSYNxeVwAgMDzWeYyuB5Yi8vb9FN/e5fHjZL9JzIgH+1Bp9yuVyZPU8829w8IjwM/Ysnvld8Pl/8Rn7nL7xQKOz7G/Wh6dv/WDgcDpPJfOx0X0dvuuqft/8noOt//Dv+x484klso7QvbBA3liUsXLYJjYjAIhSwxD5eJ9cc1kRAEQWhxKVj3gnb0ySBqBc42oSi2c3hfANFU/IuTy3SvUtzAr9g6fuToxC/HTR4/MSYKXt4pLY8fPfmUXrEVEREBr9j65yWeY2GREB8npVWI43A4aIlV9tgrhTOVwuhKobSR3GKF/76fASUGH6WQJRY0FOTZxeB8a7pqe9md1SX3onJfV1J6GMy2kuwfnkSeLegeToqFnfX2YXH7UhqqGAPO4V1MMgDvYhpaieFdTBJhs9l9Jd5tqxRCVQqmKGHII7lFcf/jmAolBh+lkCVGEErL46BQo8uvvg0qw/fSC3IydjwL+90jdo2jh5ZD/JMqKnwrooKDEkOJpbQKcVBiICcUtMQIwie1+6fk2uU317ERhENOyc7d8yp6k2eKDa6t+d1vSxxZUGIZgBJDiaW0CnFQYiAnFLPElNYmXAvp7eAKOXRaD12yF2sNCZRYBqDEUGIprUIclBjICcUscWdp9gHXoC1hxcFV3T2cj59/REGJZQBKDCWW0irEQYmBnFDMEneUlz6Ly7BNLX4alvSXb+rVtCpcB5MroyuHEssAlBhKLKVViIMSAzmhmCXmstgsDk8o4FPJpPzqekxm/g3/hAOBOS5FrbW9HI5gqF9PLBTyBcKP/TSUWAagxFBiKa1CHJQYyAnFLPHbhGxqd0p6yo/3vA1sA61dEs7F4xPrSESmJHdIQl57Y51HTMqOl1E7fbPc8F1d3A8FGUosA1BiKLGUViEOSgzkhGKWmNrT09Td28vhUkidSdnZfzoHL3AMnPck+kBkSVRFc3pRyZ2A+L+DcVHNDM4/OTwW8jpr8Bd8Y/f5p533iVnl6KN1N+R0TvsHPiAESiwDUGIosZRWIQ5KDOSEYpa4o6zAISzhFCZp0wN/M9sAK+e4s0lVhV3s/nQKeVxKXHT0xpfpPs3sj7+3mNkejquOb6BxBEKhkFdflLPJwU3zVUFC14A/CiWWASgxlFhKqxAHJQZyQjFLTKnI//n+SxUbzI++WY+xTfW099+8RE+LizG76LUno5X0sUsTspkUNvfNS7B76064+c3zKcVSBzyghhLLAJQYSiylVYiDEgM5oZgl7irNPeETd7OA2DPA+4eFCIIgAmpKavqWF0lPy0kDf2blh7Eb8ZcwGS6VveyB51BiGYASQ4mltApxUGIgJxSzxFRie1UXdcC3LbW0dtV10gUIwqH1NpPoNEk+95LPotfWVd/xjvgrDF9K+9C5oMQyACWGEktpFeKgxEBOKGaJEQRBOPSqqtpQbEVgfiUGW4nBVmJwlZjs/H3+ue6V5KHcF/GYtbVVrv6h8268UrEJ3pFQV04f8GJOnzg58ctxk8ZNSEpMGuYawIdAiaHEUlqFOCgxkBOKWWIBqdklImaxnbfhDQ/dGx766HbTU++y678dEu9Xf/B4djB8Tg+lt7aFmF6I3fPUR+Vm6PWirv4L8njtvvev3cePHD1+5Ogy68WaatO01NS3/rQZPeXgvv1hoaFVlZWlJSWlJSXFRUUNDQ1cbt8xe0dHB760tKS4WDRtbGgQfetqb29vRUVFcVEROi0pLq6orGQwmW+m5eVvpiUllRUVzP4ph8Oprq4uLi7G4XAZGRmpqakpKcktLS00Or23t7erqys/Pz8lJTmtX0pKcmtrKzodAgqFwmZ/4CH7kQYlhhJLaRXioMRATihkiQVNuPQf7vn9gCn0Ka4PKa4JLEK3urBi/MXwguAq8lA/2gPFq8lL/+b2y81x9Q19Nd21Y6eSktL4L8aM/2KMhqqaoa6egY7u1InK6Clj/v0fC1Ozr5YtX7Z4ybLFSyznzrOztaVQKOjPRoSH/7hmzSJLy77pvPkOdna9vb3olEAgbP/td8u589DpIkvLQwcONDY0oFN8aekfv/5qOXc+OrW2svr70KGmpiZ0SiaT9+/ZO3/O3CWLrK2trBYtsLSaN//7b1ZtWLtu/Zof136/esnCRZZz51vNW4BulnPnr/521Ya169atWSvZ9sPa9Wt/XPP96uQkGT0MACWGEktpFeKgxEBOKGSJha0FGZs90140DvCR00QiqaWHMdz7ouaS3x77/JrY1N73NPPJY8fVJk81NpxubDjdUFdPX1tHX1vHSN8APcVAR3fDj+v279u7e9eu3bt2bf/995eurqLWJiUlHTl8eOf27aLpq5cvqVQqOq2srLx04cIfv/+OTndu337z+vXWlhZ0WlFRceH8+e1vpjtu3bzZ1taGTikUyq2bt/747bdNGzZM19OfNmWqlrq6hpraNBWVaaoq6qqqWurq2hoa4puGmio6lWhTV1VRmTR5wtgvA/z9h3nL/kNQYiixlFYhDkoM5IRClhjh01vdorOfF3RQBEJEKL5xSiqaS5opkn0/sVDI5/P5b46jhSRC9k8vEx3Ke/vv00gkUnNzc2tra2tr696/dk+eMHHqxEker93RU1paWshkMoPBoNPpdDqdRqexWCyhsO8CORwOXQyN9taUx+MxGAwanSY6A4PBEPD5g03772oFAgGTyaTT6RkZGcuXLJ23bM4Vn8sP0x/cS3QYwe1+kuPD9AeLv1o4dfykYAxmGH9sEoASQ4mltApxUGIgJxSzxBRiCyYiesur+GNRha6pRc9SCtHNJSlzl1+edyVFoksTkJp9EzOvJ1emtlAauik1DdX3Mcm22S0tA3+nxImjx9BXbMVGx4zEYkZAcXHxV8tWWH2z4F6yo0+D9+uKVyO4uVe+9mnwXr56yZRxylDioYESQ4mhxGAQilliUkXB7ideWjYBVg8wix9grPu24CX3fLQeJT+pokp0abyO2vuYqOWPQn58FX8iMOVESI4rvpv8wcNqOXwXEw6HW7l0ueXX8+1ibd0rX7uWuIzg5lbq6l75etl3i6HEQwYlhhJDicEgFLPECKPtUUjK2ajSjJpWXE1zft/WWlRV6RBbHFZDkfgVW1xWZzeppq27qZfzse87hhLLAJQYSiylVYiDEgM5oaAlRrj1zd1NlHcfPu7p7sJVE4k0trTuixAESiwTUGIosZRWIQ5KDOSEopYYQRABq5dU3theWN9e3NBe3NBe0tjkE554OKw4mTTwE7wjBEosA1BiKLGUViEOSgzkhIKWmEVOzMra+SJk6UPM8oeY5U6B1vcDFzsFL3fwmmgXcwtPluZ1Q4llAEoMJZbSKsRBiYGcUMwSd5bnH3oRtNY7+25I3A8vY7eH5DslFzrGpG5xjt4TXY2nwTExlBhKPOKgxFBiICUKWWJ+UVbei/QKAkuAsImeiQW++G4BgiACTjk272lWDUHSb1+SDJRYBqDEUGIprUIclBjICcUsMSE371V2TSVHKEQETcXY+0n4DLIQQRB+HW6ne/zNUsoQ74sEAi6Pz+UP/tNQYhmAEkOJpbQKcVBiICcUssQIr7XiineolVPYkeSG+p7O8Ljk3V7p95NxV9yDDGyibpaQBvja4sEJuA01FQ+CY9c/C9v4KsUxt6mO8aE3FEOJZQBKDCWW0irEQYmBnFDMEiMIr6mi5Lhb8LbIihIGIiA1Pg+OXnk/cPY9zLaIcqykh8RCXmVR3h63kMXPwlc+D1t638/gju+6kLKCgS8HSiwDUGIosZRWIQ5KDOSEopYYQRBEIBDwRfc6Qk5LSyuumUKW+HAY4RArbSKynuFJdARBEAG5seKCq7/KtaCzeR0DtRhKLANQYiixlFYhDkoM5IQil7ifkEuntZNoQ37FdG9LfU5jF/HNo9G8ypy0b2+5bIytqxvgA7egxDIAJYYSS2kV4qDEQE4oWImFLHJXRmmVV0FtRhuDiyAIn1ZcWnLNP/a3V7H7QnCYeipjeF9NjOoqzVzr4LU7va0HjomhxCMASgwlhhKDQShSifkd9ZV3PTHGV1z+ff6l8dMkl/L2ksL87fav/vesy/9ecPmfs67aD5Ne1VDZw70iVkZs9PfPUz0a2QNl/fSJk+h3MSUnJg33mkYIlBhKDCUeAigxkBMKVGJKk4OXn+5t/w0+6ReDEzfc97F8ELz0XuCKp7FnUyq8C2vcUzM3OXp9E1CaTxvWcbGws+KsZ/SZrHbSm8er/X19jx85evHc+Yvnzq9cukxDVU1Tbdrvv/yKnnLi6LHSkpJhL3DooMRQYijxEECJgZxQnBK3F2buehVzGUtsobLYTEZLHf70C58pttG3inv6D4I5Nbkpaz0zXBpYQ78abg8mJvlkXBWBKX5/tmvHTiUlpfFfjBn/xRgNVTVDXT0DHd2pE5XRU5SUlDBBQcNZ3DBBiaHEUOIhgBIDOaEwJWalJ6Tejq2ofPPSaFZmQuxBTHGW+JcRk2vOhOY8KOsd4pUIGTnZOXfiCFjKO28mPnr470njJuhr6wy4TZ4wMTIiYojXORKgxFBiKPEQQImBnFCYElNjEnBe+W1ijRUQMjNcMqqrxN+2xG17FFf4mjCkb4Dg0/Nz8x6lVZXQRPdkQoFAKEAQBOno6Kiuqq6tra2trf1r559TJipPnTjJzcUVPaW6uppOpw9xYSMBSgwlhhIPAZQYyAnFKXFsIs77rRLzSzJz3LNr68UPX6l1lyPyHhEoEl88tzcpJf1qdElGJ4fN43O4XCaTgSupymwkvXd8feLoMfQVW3ExsUNZiRRAiaHEUOIhgBIDOaEwJaYnJ6Sf9896jqsNLqgMwFUFF5bb+UZs90pzyK4JLagMwFUGFtSEp6at9ci4XyHRo9NCRm9HUHikxV2fFS7xpwJTTvglHfdP+OtZwLxXuQEtrPde/QXvYpIBKDGUWEqrEAclBnJCYUrMyElMtL7iOuG6p+FtL8NbXga3vAxve0/v//8Gt7wMb3tqXXH7j2PSoxrqxy/vDX5TWclFv7gNXkm/eif+7JW4zStxm1fiptdxl3JbGgd4RxSUWAagxFBiKa1CHJQYyAmFKTEtJSVz7+ukywmFLuklLmnF6Oba/39c0ord0godo5J/eJ3pVkUZiY/3+BAosQxAiaHEUlqFOCgxkBMKU+LehKK6vCbmx87Gziuqyawlfeh7lEYClFgGoMRQYimtQhyUGMgJhSkxt6OXSWZ+tLDC3l4GhcGR1n0RgkCJZQJKDCWW0irEQYmBnFCYEssPKLEMQImhxFJahTgoMZATUGKJQYllAEoMJZbSKsRBiYGcgBJLDEosA1BiKLGUViEOSgzkBJRYYlBiGYASQ4mltApxUGIgJ6DE7xDy6UwOkzfInRmUWAagxFBiKa1CHJQYyAkocR8hh0mraWmJzMrdF4gNrqd9+JxQYhmAEkOJpbQKcVBiICegxH24xKa6l2GxK+08x95PeVE7yPc5QIllAEoMJZbSKsRBiYGcgBKjhHyOAEHY7a4BIdMckp7XQYmhxCMISgwlhhKDQUCJxfE63APDdB2Tng1W4tMnTqLfxZSSlCyzPRsclBhKDCUeAigxkBNQYnFc4uvAMJ0BShwchLlw9vzN69dvXr/+zYqV6iqqGqpqu3bsRE+5eP58GYEwOruMIAiUGEoMJR4SKDGQE1BicR8s8a4dO5WUlMaPGTt+zFgNVTVDXT0DHd2pypPQU5SUlDBBQaOzywiCQImhxFDiIYESAzkBJRb3wRIfPnBw3H/HaKtraKtr6Glp62vr6Gvr6GhooqdMGDM2Inw0nzOGEkOJocRDACUGcgJKLO6DJW5pbikpLiEQCAQCYecf26dMVFZRnvz8yVP0lJKSkt7e3tHZZQRBoMRQYijxkECJgZyAEov7YInFnTx2HH3FVnxsnOx2bVBQYigxlHgIoMRATkCJxf2jEsO7mGQASgwlltIqxEGJgZyAEosTdvlgwnXvJbs2sT58JiixDECJocRSWoU4KDGQE1DifhwmvaWRcO6F7xfXw05lNdb1sjkD36NBiWUASgwlltIqxEGJgZyAEvdjULqLiksd4/OOReY7ZVVktdHp/AHPCCWWASgxlFhKqxAHJQZyAkosMSixDECJocRSWoU4KDGQE1BiiUGJZQBKDCWW0irEQYmBnIASSwxKLANQYiixlFYhDkoM5ASUpFpQ0wAAIABJREFUWGJQYhmAEkOJpbQKcVBiICegxBKDEssAlBhKLKVViIMSAzkBJZYYlFgGoMRQYimtQhyUGMgJKLE4Pqejm1RGpLQxB7kzgxLLAJQYSiylVYiDEgM5ASXux6V2xmZjb2JSjwelXoojZBHZA7+dGEosC1BiKLGUViEOSowgiFAoHO1dAFDiPowOb0zYj9750d0CREBNiI75zTM7pHXAGEOJZQBKDCWW0irEQYkRBOnp6UlOTi4uLmYymaO9L58vKDGCIAibkJlsbYs5i+tiIwiCIII2/K4nPkuDy0sZ79+rQYllAEoMJZbSKsRBiREEIZPJdnZ2ixctOnXipJenJ4FAGO09+hxBiREEoTbc8QiYcj/NvbH/d0J2ywNfjJp90osBvpQJLfGkcROSE5Nku58fVFVV9c2Kryy/nu8Qb+9Z4/GS4DaC26uyl541Hsu+Xzz5y4lxsbGyWZHLC1dTI9MHtpO5pP+LcJQQxohuLKXGsr4S47BYGSwnISFhltnMo98uIj84JXC+yHl2fgQ3vvMF2qMzZ9csNTcxiYiIkOpCMIEBxoZG364/cPUZ9oZLyXXnohHcbrriLzzIsF6xbe6sWZkZ6VJdiIib83Mdvekqe+yVwhhKoTSlEOpIbjGCf99PV584YfnixaWlpbJZ0RD0Uqk7/vjjy/9+oa6isvq7706dOOn64kVlVdVo79dnBEqMIMyagp2PX415kRfazuk7SUiOjIg2vxZ4FttJe/fsRw//PWncBE21ab/9/Mv5s2flYdvz11/mJqaLvrW6FXrTucj5Se7jEdye5j1xLnJeuspaTXnqL9u2yWZF69b8aKBj4HBLpbvxC2bXf+jEkdwYnf8h5E1YNF9TQ0135/btMljOL9t+NjYwPPTtoibbIxSn0933To7gRnY61WZ/7MTqpcb6+ls3bz535oyUVnHu9JnNGzdO1zf8Zu2e8/fSLj7MuuCUMYLb5cc5p2xjF6/cYmJo+Mevv8rgz+XMqVPrf1itp280befN//oS/+vT9l/v1hHc/oOhjLsbp6sy1dxkxq6df8pgRUPdzm1av0FbXUNPS1t9qsqEsV9qTVNfs3r1kcOHXV1cqiDJ0gclRpDO0uxtji4mPqUZJNFLF+ipsfFWVz12p7e0v/tyBrTEBjq6qpMmK385Th62qROVddQ1Z8wwsv564Yo1y5avXjKi29IVa5bNMDHS09RWnTxFNiuaNlVFT0t76ULtLes1ft6ksW3jSG4/b9JYv1rDxFBHV1NHRXmSDJajMmmynpb2AhOjTYvmbV28YIv1/BHcti6ev3nRfKsZxvra2qqTpyiPGy+thYwbrzp5ir62rpnpnIXW3y9cvHpkt0VLfrBctGqGibmeppaKbP5xjRs/bcpUfR093VkLtVZu0lqxSWvFxpHcvtqsvWiVgZa2robWVJn8TRvy7aCuomqgo6uvraOvrWOgo6urqaU6ecqUicqGevpfr1i5e9dfLi9elJeXczgcBEgBlBhBGnAZG2xdrALLcVTRabSUmPiFV17+klDfwH3n7IcPHBz33zFa09TlbdNQUVOdOEVl/GSVCR/Z1CerakxR05iipjpxykfPrDJhssr4yRqqalrqsl6R6mR15XEaEz+2TVXWUZmkO3WSrvJ4zY+eGd0mTdDQVJP1cqapqk2aPFV50ke2qarqKmrqKqrqyv/gzKJNTUVNhn/TVNQmTfxH22RlLdWpWqpTNVWn/sPza6iqyvjPRWvaNK2pU7SVxw++6UyaYKAy2VBlsv7USR89c982cZz2ZGWZL2com66mFpphdNPT0tbR0NSapq6hojZp/AQdDc0De/emp6fDq7qkBEqMIJ2lOVsdXeb4E/J6RafRkmLiLK967cto7Xj3mPjMyVPa0zTMZ5gq7jZdT19PS1tPS9vU2GTUd2b4m6Gunp6Wtr62jpnJp7AcAx1dPS1tAx3dmSYzRn1nhrnNNJmB3q0b6OiO+s4MczMzNkHXYqirN+o7M7LbLLOZpsYm6H2Cjoamhqqa1jR1Q109c1PTbVu2vHr5Co/Hd3Z0MJlMeMuTlECJEYRTX7T7iftEF2xkR//xL6/DIyhc92rI5cIuxrtnp9FoXZ1d3Ypsy6afpk5UnjZVJS42drT3ZQR8vWKl6qTJelra+Xl5o70vw9Xc3Dx/9hzVyVNmmsyorqoe7d0ZLjweb2xgqDp5irWlFbGtbbR3Z1gyMzK0pqmrKE/+4bvvR3tfRlJPT09jQ+PJ4ycmjZ+grqJqbGBoYWq24ccfX79+XVZWRqO990oZIAVQYgRBaM0PvINU7qW4NfZnl95o4xGg+TDdp5k1qnsmJRvXrf/f//M/X/zvv3NzckZ7X0bAkoXW//m//5o8YWJdbe1o78tw8Xg8UyPj//zr/+lqavX29n78B+RbR0eHuqraf/71/+bMtBjtfRmu8rKyCWO//Pf//OublV+N9r6MsIiIiHlz5syfM2fLpk1PnjzB4/HwfLCMQYkRBEG41dj0VXaBR3I60CdB+HW4rY98N8c3NLFHec+k4/bNW5vWrd+8aVNZWdlo78sIOHPq9E/rN/z28y8tLS2jvS/DxWazD+3f/9OGjbv/3PUJlLi7u3vnH9t/2rDx6OG/eTzeaO/OsNTX1/+8Zeum9RsuXbg42vsykohE4sOHDx3s7YuLivhSezM6GByUGMXsCo2N/cUzyw3fXlxb9xwTsx1TmNwFvxYCAD5tHA6HxfokH/tTJFBiERYpOb/wfjzWOSHvfmZNAfkDHzsNAAAAjCQo8dv4bGY3Cx6gAQAAIDNQYgAAAGA0QYkBAACA0QQlBgAAAEYTlPizIxQIBDy+gM8X8Pl8Dl8g+BQ+NEfI43IoDBaJyeUo8HqE/L4/F/GNz1fcBSECFotNojN7mBzmp/AKSAGDxeqmsygcPryWBIwoKPFnhtJQ8Sw6/VxIxtXQjMsh6U+LOzsV/L1aQjaDUFXlk5RzIzT9Ynwlvlcx37UqFBCrSmwjMi6FZlwNy7gamnE1LPN6RLZNfFlRr0Le7ws5dDwe/zw665xf4tGQrIeZNUWK/H4EIYdWUlrsEJZ20CvhRFiuO76LpMCrAfIGSvxZYRNfYaJXOQUteRK67HGI9ZMYJwKJqsCHXAiru9ktNHajZ7prSQeRyWPzFPUQX0AnPvfELHmAWfI4dPmT0BVPQpc/xsyx9bHwKCqmK95dvpBHz8tI3uKZE93KZHN5zN7OsOiYH/0Kc8iK+EsFImBTUlKStnjkRLexWSwaLjf9l8ehJ7LaFXM1QA5BiT8j/JaC7CvJFemtvV095HpiT00nrZejwPclDGKtnXvQCo/caCJHMfvbT8gnVuIux5TG1XbWdpDqiT31HT1V1fizz4L2Znb2KmCI6R2Vp58EfhXb0v8hdYKemvzN9zHnimgKuBpuU1netkehB7GUvlOYpJCQQKMHsU41n+aH8AGZgxJ/Pnob73pGHYrCxzT1dL/7VY+KR0hpcvQMmP4wKaBd8e7b3yEU8InNrc3st36d6KnM+fF5YkArVwGXJ6C2EvY4+szxwOX3fdMov7k47SuncIdKpuL96seiREcE6N6PuFXW/0lUQnZNcfq8O4HfRNSTFft3QCAnoMSfC15tZvyCmy5Kp900bYN/Dsb6V5OpCngf30fILkqMmWvruz21ubK9p7iuDU+kKfjz3W/j0RLDQ1dgKqpZCnlPz2eRo0JDTG/5rAsl5HQyKW01t70id8fX1ivgpyoKqd0eXq/1nCKuEUTfzctpqcSuveWz6DW2AL6vF4wAKPHngtdS3+CXV/Y0Nf+0Z4jxFTdth6ibhd0kxTw4FpJqzzoH6N3w+S0E9yqt8HFw7K9ucQfjq0oV8JHcgQg5XdUXnEMuF1KYChliBEEQFqn5WWDYzFveVi6Jh/yTbHPbiAr6uxKLEhUeMNkm5Pe0jv5XA/KI1dgfb3pZumalUUd138AnAkr82RGyKd05uJyf73sa3E/0aGAo4t0jpSzrq/veGk/TnxS1lHVQGttbPTEh+nd810TX1yvgw5/vEvLqcMnLXDLiuhX5HUwIwmkpO/7Y1/Cqm/LdkGPZbV2K+ap2RMhrrsCts/GY4ZwW2sZFEARh9sQnxc2+5bfEp6RSMX+XBXIGSvyZ4lRkJy+x8dyR1kZUvPtHYdX/b+89w6JI2obt7zi+43vfO6yBMJkcREmCCgZwzTm7a1zXnNesqOvqmnMWRYEFQRBQkiCSs+ScYWbIMwPDwCQmh+7r+0Ew4no/z96r7Nb5S+npnp7q6jorXFWVHT/xeoBFGLO5vxzkVu9+EEK7kRzMUgz2djGu5IeFRi6Oa+IM4lIel/Jan8RmehSxsooLt7kH0a5GrolvaBmcEU64Rl5ZkLPePcTRI25VSMbhF9lu3iGUa5ErU9sGYXc74isEmfhvi5Dp5hWyKq65aRAWjk35SZNuBlqGM5n9LWA178nTSNvLUXeZg7KV/xa4jF25wzPuPl02eEWs6e4IDI2eEVxWqQQALbep7vijp0Y3oo+XiQZfxa8HXN3JF5SyefmszvzqyiP3nlg/TA3kDPZaH+IrAZn4b4u06bRfzOm8js5B2JsrrS9YeDfI7Gl1Vf9cW1yaHBXlcDPWq0k+WMv6HjB1ZVbC1OCyku5B+GB60QgaipffCpuR3N5XzdNy6UVrbj9zjmC0D+7HAwDK0uyEMTdebMtsG9Rz8RFfE8jEfxO0qk6xtOtNx626pSxna1R5UodyUBYmio4nz16MupMSxO5rAKs7PJ9EuD4tzx+ka2z1gUnbfwt8sTe7QzR4RQxaYXPZ2tuhU+PZbzpculnXvMNmxzZ3Du5mpIpRUbjBPXJ9YmPzIOxMQnytIBP/Tehk/OITuTQg17eKk97QlllRcSOmMKqxe/COckmbK/f/FrbyRW1ue3eHUFRSmLMlIDOoUTrIu6a1PHr+Es+U5yzlIBYxACYXxMTEzfJO92Xw2SJph4CfV1L4c0h2JHtQLiWDY1qFQt7G63xdXHLqafz+zNZBGF2B+JpBJv6bIOmISsn8wSdmrterxU9SDqfQSwfzIsAAAIDzm+m3ozMvJVeE5Zbdii+Na5UO+uJRqyrPSVsX99b496AFl/ETM7IPvsx/nFsbnlN2L6k0ljM4W5G4RtTZllZeF5yadzqmJKpRPMhre4ivEGTivxGYTCrlCroH4TLGn0AjEIlbBIrBG9z0Njim6eJ1NolUg3v20tuopewuMXtQywvTiLp4Ja1dbZJBX9NDfK0gEyMQCAQC8SVBJkYgEAgE4kuCTIxAIBAIxJcEmRiB+IrBcfwTOy7jOI7jb/0bAAAwrbqT3y1Sv3MeppK1dWt+d/gZ06h4/G6RGv/LjFMjEIMBZGIE4qsFUzXSa59nl/uklfyWWZne/s7UJhxTNdbVPMsu800v88ksD85nlIswwLXc2vzvHkWvSmZ1agBAy29riUzJ+ME3dlVG2+9skIFrWFW5Sx69/CGVw/9LhfUhEF85yMQIxNcLrlIqu9pbnkS8dLwWMvZxXnyH+t2jig523VnvyJ/S2SyJSqEFAIzfWL7fN/ZIXocYAwCsi90aHfvS4kqIU2yr4Hf8qu1glu3xjTtewJOgRjEC8eeBTIxAfO3gUnbl5jtBhDOBzkGlOe9OBMcVXZFhL93r3qy2jeO49q2eaRzX8GpyJtwKc41r/d055O+di0Ag/hSQiRGIrx1c1VF34EGEy+0Q04vB8yNqK99a71gj74qOiHlIl727kzGmfWNUjF+XO/E9E2MqYbe0U6JQfGQFEUz715nOjEAMCpCJEYivHUzWXuv2W7JfUc35J+EmF0JWxNY39i1XpZF3RUXEePSYGMfEfF5ubWPA6yL3Sr6s17Lartq3TYwJuezneeVPcyqD0wtvZ9DTuQoNAOBaUVdHTk2D/+vi+1UCBXIxAvHngUyMQHztYLK2msM+aZEctbiNcdw7mHgxbFNqc8+m9dpeE8sVAIBrWMzau4Gh5ItBY1+19I0K95k4ntWtxeTtjBO+oeOelmS0dlXXlO64F+QaWFoixXFczWLU3Ax4RrgQPCGeJR70q20iEIMIZGIE4msHk7XVHPZOec5WA4CwoXzXg6eEK5H7c9pFGICC/6ZNDIBhWn51lvOt55PiWj8wMVuq1QrqcmZdD91fLAYAAHVmVKj9rWjPJrUWAMc03MoMx5uhUxLYg3hLRgRi8IFMjEB87fSZmKXUAgBgbTVF628HGN6MOVMqEMv5r1688ngzTowJ6Pkut0JdPjRxHEukxbVyUUl9e4tE0dbaFJZWsNs72OZW5C26SgsAoOXV5jrfDJuKTIxA/KkgEyMQXztvTNy3BYGKWZKz7HrACPfEq8WNoRGvvBjyPhNr+XV5kz5u4lYhBgCg7GoNjM+6mV79qox58+lzu9sv7jB6TKzpqMlxQiZGIP5skIkRiK+dD00MgMlKctNmX3tqcfPF/Acv7jEUfbOYBjZxPLtbi4laqg49jt6T3FgrVgNo8uPDHW9H3mGqcQBkYgTiC4FMjEB87eBKbq3bb6nhHPU7Ec0qUWZa0vhL/gZXI27S+/eFxESMfJdboa7xLHFff7WQnjfpVti3SRyJUpoaHW53+5UvBwMAUElevQgdfTvyDl0p12AA2q66XOebYdMSObI/9QciEH9zkIkRiK8ZHFMq5WxGySb3WI86EV/57trRcn70yxjnm2GXa3vbxBq1nF6UanM5yD6C2STVaHFco5LRC1OtLwc5RNW3CIWpryKtrzz7IY6Zz+p4nV/40/2nJpdDNsfVPi/jimWSmoIUq0vBY6MaWLLfX6QagUD8QSATIxBfMbhW3lhfHxKfvsIvYU9CdSKzS6B5x5AaMTfsVap/o0IJAIAJOI1+MUkLfeKWhhaG1/GFGkzQ1hQYk7TQJ27xs4Kwag69kX7uacyU+1HzAl4/KGpJzcpY4PlyaUR5Tqeyk93gG5043ydueVhRJJ0vQktPIxB/EsjECMQgB1fKhGr8PxjYVUlbOvhsKQYAgGuEQolE83unIBCI/yLIxAgEAoFAfEmQiREIBAKB+JIgEyMQCAQC8SVBJkYgEAgE4kuCTIxAIBAIxJcEmRiBQCAQiC8JMjECgUAgEF8SZGIEAoFAIL4kyMQIBAKBQHxJkIkRCAQCgfiSIBN/BpgWbRH3n4H2DkAgEIjPBpl4ALRiVnlS0N0b1254BoZFxUQ/9/cNCI3NbxRqQMupYrZyBP/F9fFxpaCpLDstKSEpMSGpuKFT9qVqAlhXQYTn3Rd5LZ+1Xa1W2FQUE5lWyZEMmDa4StzJZhZlJCYmJSSlpKSkJL2KDg8LffY8PCY5u6impUvxkZPU3NJI3ztXH0UWs6R/qTqRVtHZVJGVGBMbn5SUnJyUmlHElr91GFcIWMzyrMTYhNhXSTkVDTwZDgCylqxAj1u3/BPr+GoAAFwlaC7LTklOSkxKSk0vbpV83h5KWHdDhv/9W3cCUpnCjzwuHFN1c5tqClLj4hMTEpOTkpJTM/MbRR9Lfq2ivTIlMTkpKTk5MSk5IT2/pqmtU6L5i9TGcAW3/JXHrduPIvI5CgBcxW8qe52SkJSYkPw6r6ZD/ftX+AwwjULIppfnpsbGJyenpCQnJiYlpeXXcgRyrPe4nN9cU5KVEp8QGxMdE59Z3tje/TtrheMqEasqNzUhKTExITm7mMH/YwssXCViVeamxMYmJqekJCclJqVm5FY0dQhlfbeFqbp5zLLc9ITomFexibnVLH63sLW6OCul9zcmxCelvi5ktAskyr9IVvlfgUz8Ier24qi7bmtnz5i/bMPPt33C4jNy8jLjQp/6+3jcPHP48P513226EVHY/l90Aq4StqR5bFvoamNm4bjPJ5vzZRboV9RH/frdaD29zY9yOj71azViTlVG6IPzhzcsnjzC5YB/IW9gE6u7uzj1Bc/P/jjL2d7O1t7RadNpj6cR4c+e+Nw7v+fHVT9s2X85KKNB/PYp0pJHK8cZD/n/dEZselzc9Vfaq0Cr6Gquygg8v37WBAf70bYOztO2XE9pUfUdxhVCdkNJ/EO3pSt+9kosaeyU47iKm3JxmjlhyDdG44/GtChxAFwlbMx+7DbDycHWzvnb/eH18s/ImbicFX/a1Uh3yDDzyScT2z7UJo6puztaqtMDTq6ZOsnJ3s7OfrTLvN3PmfL3P4kpOdk3ti+Y7uRoZzd6zMTZ+7zTalrau6Sfb2KtSlhf1NCNfRXlsUrGry9plPb/X91Z/HjXqGH//Ibi/L17iRxwtYCZ6nV0wSirkWNnr7yaJf7EtT4fTKMQcpgFUbd3zbOztbUfOXbagoOe6fQ2oaLnWeJahYhTHn9nzzTraetOPnqRVdnM/X0Ti1uy/X/9wXGEpZXzkm0PS5R/yK32X14tZle8ur9/+ZgRtg6jrJ3mbjwbVtrCE8rfmFjSWV8cdf3QD1NWnwzMqmULukWs2syn5zbMsLa2tRsxft6a888K67lCZGIAZOIPEFVH3dg1fYTeUJs5BwKK+O8WarLW/IATC4yNJu30Lhb+l2+EF79voZPe//2n4VaPDM6X2J9OUOS9Y7YVSY9gsi+wqHOg0h0Xt1aW5aUEnVttb0z81xCC/sTDQWX833u1mp/tnmJN0dMhUMyPRTWqAQA0wqbcxwemWZL1zZzmH/XNYfW3DpXM8IPz7KjDDJ0PPK/6C27VJ6vx3WZtQNTTIVCJ1FFT9/q+W5NRNkUevprR3ttZoBEUev043pREtJl3MbVN1ZPQuDTvtqu5gT7B2HpbCOOzTKzi5T5YPcaIRBm9+PrrzoESFZe1Rp/es3/9eCqVqks2t1t9K6/z3Wer7mYlnv/l1PEl1qYkPaKJ7Qz30v+wmSiuS3r006lX7K+hEY11lkQ/2H8hqbP/L1pxXdTpmab6RIvp2/yrVQAAmvaMO8uGDx1uNHbWucw/xsS98HK9thjq6uh9Y+G64E6R6p1jCnZe8Gm34zejy7mfr1RervdOo3//e5jZ5BV337veH4KWlXprrTVBb9gwsuPyo1GcDz4grYh+cuHI86b+PCGpDDg2c9iwYbr/tFmw6Snzj7+lwQoy8duo2an3tk+xIH4zzGLZpZj6jxYp8kpft33XArK4/+V7aYvdv2QiZcgwsx2er9v/9EJK1Rj38NhKW4sRZCLV4kDAJ0ysFHd28fm8ymcH5juZkCikSUd+38RqZvBP00cbUUg045FHQ6sE/R/nxp6bO9pE9xuqzcyTkTX9AwBqfl1+WmJWVVv311Bc/8FgyvbEaweO71lkP8KCSjEgmo6dcyaa2d13WC1jx198XCKQ9iUGLmsvz0pOyWfyFX2JoRZm35460pRKsxi98znzc0wMAJi0rSwzOaWwQThwyS4XNCfc906Ku7vKaYQBhWZkO/XAi6a3XgtM1lETed8jOdlvs/NIAxJthOP8R6WK/+AZyVrT7m2c4jLhcOx/+336DMTMV5dXuHw7/df0d/yq7GrIS01+XcHufQRyVuqd74n6RPMJ8y68/iNNjHcWBxwcSSJSdK2nLnYvlPUf6G7Kj/G65hGRWTvge/hRtO1ZXrssdHQIVtPXuBf/F0wMIK2JOLnERFefRLSds9WrVPLOQayjLCUiILj8rSEXQan/sbkEAoE83GHxlsCav97r/D8FmfgteBlXN04x1tMlDB+39W4aa6BcIs6LTM4vf9OJCBoZn1VbkpueHB+XnFXW2KXoe11wlVTY2c7hcDhsNocvUaoUwpaK7OS42KSsKpZIDQC4Rsyuzk9LfBWfUdrEf7ubpt/EOx9ltAjEjSXpcbEJmWXNgvdHUlWSztaa4uy05Pi4lJyKZoHqrYtgym4Br43D4XA4nLYuqQYHXMqpzk9Nzq5iiwZsu+C8wgCvJy+e3Px+xgSyHtH8UybuQ1pwbfVkSzKJ+L8yMcjzbyycOIqoTyZZzTn3qkGCgVbK5/E6+QKBUCgQSVVvgucwhai9sSI/MyUxISG9sK7tg8FplZhVU5iZlpqS+jqvgtHC5rRxWC3NzW0CuRYHTCHq5PakTFu7UI4DqAWNJVkpqQXMzn6VaeVCTn1ZXkZyYkJCRhGD+2a8XisX9p7e1sYVKzQKEacmNyUhITGzuLFn+FYj5TKK0hMTEtIK6LxPyUkjZcff982tyHpyapG1qSGJQiONdNn0MLutJ4Oppa2x57wLu6RaANDIhDwer0sgEAiFQrFcg/dcdyATa6RdrfSSnLSkxMSkrLKmzt78hWMamZDXweMLhHyhUNQtG7B+I++qj33wpKyV/uLkFAsjA6KhleNGz1Jhfw2gm5XtfeNlXXvp063OI6gk2gjHeQ9L3u3AVnd3NNcVZqckJial5FS0CPpyHY6pOqtjbqx3sqRSRjrvDihuYbdz+W91amMKQVN5TkZqakZuRUtfZsUxlYTPbedwOBxOe0eXVKWR8upL0uPjEtPyq9tlAACYnN9SmZ0Yl5CSU9EqfidT4Coxt7G64HVyYkJSal41u/8ojinaSsLOrbI3IVLtpx0JrWa3tXOFMrVWKeF38Dr5QgFfIBJLlFqA90zcDQCYqpvfwW1js1pZbG6nQKx487JgCiGnvjI/IykhISm9sK5d8qn3COMV+u+36jXxvYIefylYBa98rt56ll3H+1gMRV8ic+lFmanJqVnF9PY36T+QibVyPotRnpuRGJ+QklnM7Ik/6EcjaacXpiemZOZV1Le287jczk85XNOadn+jHZWsRzQdv/p0Qttbh2QNr+OeeiS+U5AiEw8AMnE/WHPkye8dDQgEIom68nIEY+B8j6nUGk1PkYF1NyQ/POh2wf1ZWkVJoveRldPsxi3Y7ZneLMUBALTylqQbm5a4jBpl57Trqpfvffezu5fPnuJoPcpq7t5H8SVVGYHn9v4ww2WCvbW11eyfHmW09rdPekw8VNfix+PXb9757e65Az8u/NbOZvxSN5+s1t6XTSuofXVDSv9UAAAgAElEQVR375ErXpEZZYVxD/Yu/dZ+wrJD/nmc/pdRLWbGXFg9b5K1tf3EU6H51SUvL65ysTWhWH9/PaFB+v4PAwAAZUuS952glDpxY8y2ec4Enc8zsTD78kpXi/+1iaEj5cTiCaYUGoVi5HQqmtmN44LaiLPLp09wtHd02vY4v0MJAKBqK3x+Zbvb3ZD47OLssCvrZ050mL7+bFS1sK8gVzQmu++bN2n25muRRTXlqQ/3zZ/sPNZhwrRps+YdDa0SagFXdJQ8PTxvirOt44RZN5PrqjMfH5rjYGVhPn77k1KBBkDNznl6cdvR++EpOYUZIefXTJswZvaWK3HMHuFjEk6+374Zrs52YyfNPOkT5nPp5MHN812cbOzGTFh/9VVhRW7Y9d0/LJ/sPGaU7ZjxP15JapANlCYaKSvO3beEJ1dw8x/unDTCiEYmGxjZzToSXC7CADB5r4kxANB2N+f6HJ49cZzjmEnT3aIaeqX7nolxAMC6GUnep7ed8I7LystN9P15yURn5yX77mewVDgAaEUNmZ77po8f6zBu8pwTsa2qAW5O3lUf4+5XJZR25N5d5mhOJRsY2007Ed/WMxao7GLGPHyYx5OJKoM2O31gYlwtqIr2OLX91OPk3LzsmIeH5jk7TVxxzCe/AwPAZewcv5PrpluQKIZGI+ym/Xjo5zNXboaX9UaPSRriHxxZvfF0SHZ5/otbP61Ycza8SowBAK7qqIy6tnaco+PoKQtWXXsa5fnLvm0/zBhnZ+Xw7UI339zK0njvEz8sXTDJ0W7EaNf5bv4VPfUGXNVR9Pz2LzvPBL4uzMsIv/3TjDFOk388E1QqwAG04qb0R4dXTDYlkA2MR42Zvcnt53M37sfUynB1R1nE5Y3j7e1GT5y/5lauGABA8b6JQdtVE3dn05yZ353wTatpF/VUeDA5J/fJtRO7L4TkFuelBl/d9u1o52lbrkRUiwfKCW9MbDN96aMyLahbs0Pcz//qk9XSPXC/haajJPD87rW7b8eVlqf6nNy8euvd1NaeisuHJsa10qZUz4s/778aVlSal/D4zPoJ9s6zfrobVy/vTaaWdPfDqxbtf5BYUJwUeGHLyu82XE3rHPDLAQAXlAcdm2eop0ciOMzfEVDTX9XiVaZFBgQVdb/zaWTiAUAm7keYdW79TKoelUIkOu55+Lr9c86RFDzcNMVk+Nid3tlcNa7lxv66fBz5m3+N2+2RxemNeqx/tm3e6CH/1hlus/iof3aLRNyWdHbJRON/DafaTl1/JjCL3ilkxZ9ePNH4//6bMPtMWE1fxm2L3b9kInWYjtH8Y4+zmiUyqaQt9eryieZDdcznX4iu6QYAUebNlROM9ScdelrSqca0rRGH59iThg11OfSkiNeXxXEtM3jdtNFD/zXc8LuDJy/e8bt+eO1c11FOG+6ntcg//EFaQWnEjftRuc1yAPaLjbOc/mwTS8sebZxsbUClGBjTfnzwuk0FuLbKZ8m4EXpDdChL72W2qwC0rKifp9saG8+7lNgo1WKKSu/1TuZkEnnu+dgGCQDgonLvn6aMNCQabn9c3IkBrq0P3upoRdNx/ckrsaxVpMQAAHBZwb2Z9hbDdamW609du3zD89LexVMmOEw/FFrdrVW1hB9ytTa1XHYrk6PQYt3FD1aNNiZTjZdcT+0ZwMY1XWkXJo0yHa5LMZyyyyujoVPEL/L+wdbCQJdi6bLyuFdKHYfHLfBca21G0TWw2RZU3T3AYKxGyoq791tBmwwAlA2x51c5m1FpJLKRqdPKS/HNMo26PeG8d2FXTw0AV/EzrrmY0/T0DEduDqLLPmLieiUALiz33mxvbumwwadMpMbU7WmX5pqTKWbW6zyL+FoAwBXc5AvOxmRdgondrvDGT5n4nm+5WKuVMJ8fcjYzpBGNRo3d5VcjBcDl3KKA8yFVCkwjqXq66QMTK9tz7q62NBk5aVcwXabFZI2vTk410KOOHLvjSbUEANequuoiTo4xplGN7SYdjKgXSSRShQYDwJW8Qq9NDvbjZt3I7sYBF1b47RhhNWn1rVwhDgBaQXngblMSaTjJ3O77sy9ru8QddS/OzCCRKGRThwW7bkaUtnWxq8J/nUbQ1Td0nHUuXQAA8ubky4uNjOxmHnnRqsQwYdWzQ+OJwwzsJx8Ma1QCYFple3HgYRsyiWw2btbJOFa3RCpVanAAbVdZwD6L4UOHGzhOP50uAnjPxGIAAFxU+crz5CmfXJZcpe2JPMPF9OhfZ1OMxiz6NaFDjWG8Ir+fHHW+MXSa88tL1gA5odfEJCrBeuq8XwOi/X9dNcHEYvz35xPYA71+WDcj5uwCE/sZGwLqtADKxthLy6hWcw88rVMDAPa2iUs0AFhXadChyXqGE9ZczxRpMQ0rzX2D9Tf/MHL9/nJKJwDgnUV+e23Mx8w+HctRAUBH3jOvixfDmz79Pisa426stSKT9MgjXDfdyOzqyTqNeYnPfktqfe+zyMQDgEzcT2fq8TXT9PVoFAJh+jH/EsFbh3BMo9G89/pgWi2GsV5d/NHVjEybfyaUrgboTj2/apKxzr8N5p18XtU7gsRLPrJiMmGIDm3D7fgWLQBAtfePc+2GD9Wlrb8d16wBAGgI3rJgrM4QHbOdjzI4vZmzv3d6+6O+ceLuvCs/TjPR1Rk+/WhAmRAH1otfvh9vSjNefjWuGQfojPl54ThDvaGmSy7F1L8ZZGK/3DF/AlGPTBq1+FxUnQRA0V5XQWcJPjKcqOXkBN4JTq/t+e2cqM2znQg6RPNDQWWi30u9P8rEKkbQ7qn2RhQyzYT2g3sGRwkAjKerXOyo+mSTFQ+yuWoAWbnX9pn2ZubWm34rEgIA03+ryygDMtHmR6/8Ti2ALOfaNAdLXaKR7amYnjBYfsopVwcLgoHDwTC6pO/btFWPF4+3I5EMjZzWe2RzlTgubq2qqOfJtQDCovsbptiYWznsDKySAagrvX50sqTRaI5bn5T3NtuUZV5zHEeRqGaOp2NbFAAA3Di3cTZmBJqZw+nYVgUAAD/9/CRbC6KBhcu19I4BmjW9Jub0mlpUFnRwgaMhmUaimpjN2vsos6kp6Ypvca+JQdudd2+6tRmVamG/4xnjIyYObVABYG3pl5aNtbQc7Xo0mgUAguzrS6yNqMbmrodeNPSEHfFf35g8wphiYDV2b2TTp0x816dUqAVQt6VcnG1rSiEbmjksupwlUEraMn2vJ7RqAPDuisAPTIxJG16dmmdrauU860wyHwA4iWdnm1MoZtazf0noqaYqOAkXxhnTKMb2LscSeH3fiXXXRh50pRrZTjoazwMAkDVFHzP7hmLpeDyOiwGArOnVGXsDGnHUhIVeZWoAAEGB1w9GVCph5IQFXuUaAABxWcBOMwqZbOOy6mk9ACauCj08bYSR9eSl13NkACpG+NFvDQlkyzFLL/Wao5sR8bMdmUgyc5rb29IFAABcVBN6zIZEIJmPn3s+8z0Tz7+UpwRc0pgd6h8Uz3yn8afmFQXscTGl2cxY+6BEAyAtD9w/gaJDGjVx7e2Cd5uJ/fSamGJMtXRwnLls+UwHIzJJn2xmN3u3V57gYzJWsTI91lp/Y+S64k6REgCw9qyHG4b/P5QJC+8WqgDw9myv3X0mLtUCqNgZDzePNSDbL9rhVwcAXVkPtzrqDyHazdjuXaUBUDe9urZK799kC6dFex7E13YpNWJ+S1kx+3fCJDFevs+eqTQdPSLVadnRyBYcoLMiOcLfp+iDYXRk4gFAJu5HkHl63QyyHo1CJDod8M7hvZVJNHIRj12dn/QyIiQo5HlI8LOo5JyKxi65VitpKYx7/vRlTm1DfWVxwYsb2+ePMyYMN5z5S0h5b3B1R9LhFZMJ3ww32Ho/ma0FAG2F57o5dsOH6Rtt80jpyePchAPLJhOG6Bhs9Ujty/VvIrYeZfbGTsvLHmybM5JM0DFfcvElUw4gacx5GRIcW8BoZJQV5YRdXj99tBFJ13T++ZeMN6ETrOjt8ycQdYikZVfeFvQHYN114Tdu+iaUciRSiUQikVQ9XTdjHFGXZL7bO7OxW6395DSTP8rEsnKvTd9aG1IpBsaU9Q+z29UAQA9c2WfirHYlAGh4VSkRIaHJ5Y3NdUV5qYG/LHGyMqRRbFd75PI0ALKC23MdzfWIhnZnYptkAACCtDOTHc2H6Vtu9i8T9E2z0FT6LnK2JZKMzDf7FHa+OycEU3ErksJCwtMqm1tqC7IS/Y7Od7AwMDR03OBb0nMBXFHqOcdxFIlmNuZiEkcJADg75sg4GzOCgeW4SyltSgAAecmj2aOtiAaW4y6ltg8w3NFv4v7pH7wcj60zrMkkQ4qRhe2SQ9fO7ntU2Fdx0ohz737SxM+ZChwAk7UWvnr+LCqrtrWlJjsl+uHeqSONaCaWrnvCmEoAAHVX5vXPNjFfDQBafqnPNkdDGo1sav/toSe5uZH3AkuEGgDAxB8xMYBa3JAb9Sz0VR6D1VL1OiHs7nYXcyrV3Hbm0VcsDABA1hp3rtfER+P6ZwVKW+LOORsaGFuP3+6ZVlZZU56f4n968dQZi78/+qxWAQCyppjT9gZUovXExX7VOABoeLmP1hpRqUQbl6X+NRgAQDcz6lcbCoVo47LUrxYHACW/LjMiJDyhkMlqqsyICby6wcmISBkxbvHZ1J6+V1Ft2PEeE885l/5mYgQurH5+9OMmHjFpweVkRvnzM5u/m7v/ecP7NXVZR3VaaHBkcklDa0NF+gvfcz840PTJI13WXMsZoF7b3ybWGzVt2c2UusKQg/NsaCQKkWZpv/zU81rJByd05PnutdTRM5+44Ofgwrq6uuL0sHuHZjhPXbX9WhIXALhvmbhEBQDabk5ZYkhwdEZ5QwujPOX5g5+/syHpkGxnbvUoVQKAqDbqwmwr8lAdIsnExmX92cCclg++9WNI6BHnFxsTyHrkUdN/8qnid5SnBHnFt3yYrZCJBwCZuB9147NjSxxo+iQimbD6ajjzrSYMplFK+TVhx+eOofyff+v8e6jlkhMBeWyJurdw7Kx8+dutC2fuhwTe+GmpiylhmOGsj5h4i3sSSwNvm3jrg2SWBgCgPX7/MlfCEB3DbZ80saz0/tbZI8kEXbNFF6LovW+Isq0k4tGNC2cfhARe3TJ3nAlJx3TBhQ9MTBhOMNnpk8P9ROVWUXhn4eLli1ZvObBn9087d+/ZvX7xONtRBgZGJuPnfbffK7Pxk6t7/GHjxMluC8ebkGhUirHr2VdMKQBAXcB7JgYAgO7GrMA7Vy9fehjsf2bFRBsjGsV2zcNcnhoAxNVPDswbSSYY7AiolgIANAdvtDMhm84+HlX7ZhqmptJ3kbMNkWxsd/Jlg+RjtyxgpPndvHL18qPgx6eWjrUyNDR03Pj4QxNfSGQr4B0TX0zmKAAAZMUPZ422IhpYOl3+fBMDgKI5/tL3E4xJVEMKkWpuPeV6Jr83auYzTPwm4IxbGed19cqNG56BXm6zrE0MTEa47g3/n5hY2fOLm2KOT7YypRqYm1rPWnvgQhC95zzNx00MAABKVlG0x6XLt297+d/fP9WCRrWwnXUsttfELbFnx7xvYq2wPGCXmYGBkbXzeveEoqLioqLi0orampo6RmObWAsA0sZ+Ez+uwuBdE/tVawEAuhkvTvWYeJl/bX++lTbkhN87f8Xd3fO3W7smGpEoI8YtOdc7CiqqCT1m8/kmJpGoZmOmbfzlituyEf/QMR0174Bf5UecJaZnBN8+d+WBh9ejq1udaHrkUS5rrud+2sREiq711CUe5Tio2On3NkweoatP1Tcc6bTlVir73fqivCn2+gp9HYLZhHmHnmSXFhUVFpWWV9bW1tQ1tPIUANjbbeI3EVt4V2ViwPUz17w8Pd3PrHMgDyfZztz2sLRnsErS9Nr7pxmO5rrDCToEQ9NJP1wIr/7ogi7vom7LfLR1IkVPn2Q+edmW814hQYH5H5voiUw8AMjEb8C4SedXTTDWGU7UmfjTgyzu+9mPHrhtkcMwPbK+0awTIVU9PUxqdpb/qRV245e4BVXJQJF7ba2rie6Q/5KJ5WUPts0eSdQb4rzbM4erAVC1JD9yW2o9ccXpF/VKEKWcWeJkrD/8oyYepm+61y/vUwt0yEufHNqwcLLrtzOmTps5bfqs6a7OIy0tDY1MDUeOGbPk7Iuq3v4xjVL5kTUF/iATy4vuLHWxJuqT9R1W3Mvk9BjgQxN310Rc3jl31JTN7lkdGLQ82zXZxpBCtlnzMKe3D1jJKQy/fWDu4i3n/BJep4bfO7l528FzQfltb3fJ95t49Nm4pvej1zBhRfCZLbNGzdjlUyQADePJpvFWBjSDP8nEAJioPOjgQkcDEplmPML1ekbXf2BiHACUHbneB9dMt1twNIKhAHHhveU2xjRjy/+piXuOazoK7q2zNaJRyMZWU08lc9V99/RRE2NSVrr7zuVTHZefTmCpcV7GlXkWVIr5GxPL2clXprxvYkxU+/zQSBqNPHLC97/Vfiy/Sv5TE+MAoBE3xF9bv/Bbp7XXsnmgaY45OdWQSLYc22/ibsaLX8d/vonJJIqR/bQd92MTnpyYY62nQxsxYfvd7I63x1n4tdHnV875dtJm92IhKOtC3SZRdEkjXVZ/lol7Y6e1ourIXxeMoekRqBRj27lufiVv603VmnJvPWW4Hnnc4v0vPzIN7COx04r20mcnFk3/dvoe3xoZdBf77hpDGEa0nbntYZkcAMdwHAAENYmPDnw/xdqQMGQ4dfSiw5EtnzF5SlwWcmIGVd+QTDU0m7r1dtLHp14iEw8AMvHbKFoTbm8aZ07813DrdbcTWe9N86nx27Jw9HB9sr7h9KOBpQIAUDa/OLvKRv+f/1h2I64NACQpF1ZPMtYZYjj7VGh172AQL+XIym8J3ww32HI/mT2AiTsSDy6fTBiiY7jtYRrnbROTvxlquuPR67aev0mLbm6cYTLk39Y7vLK4GlDWhxxfZKk/ZOgPD7P4ANAV8/OicUb6w00XXoptfBONxY7ZsWAiYZi+6Z7HnzSxtpvbUk+vrauj0+l0OoPJSLv//RRHoj7FdOON8LxmoVyDq/nlYVfddm7acim8qO1dsYhzr63qmcXkFlwuGOAr+tDUh/Sb+FhY9ZvCpTPh/OLRpvrfGI5feTu9pdczb5s4u0MNICx23+JqoE+g7Q2vVwNAg/8W11EGFIrNWs98fq/P5G25kcHPQiPi0vOK8zJzyhu4H8Snaav8FveY+EzseybGOnJurHMmE6lmbnFtAIDXeK1zGmFAMxyz2b+8uyckR1nuPbe/d3oAEytKvXp6p52upHEHMLFWxkl84FvULnm/fqPh5XrucDWnGZlPuvb5Jg6tVwGoWxJOLbLWoVg4XMiWAYA498ZiayOqseXk/S8atQCfa2IFvzHW/XG5sK85hUuZ4T+NNTU1H7/Ou6I/ybTdlUFb+mYx9c0n1krqXhyeaTbEwM71dhkAADf53CxzKsXcdvbPvXNd1F35j1YZ0qjGdi7HE/vHiTX8Yr91DgZEmqXNstOxrf1jCXJOTTVPDQDS5tizowfqne41saQ++oxtj4kDGABqYVnQzkm0f5o4zfNmAICqPuqYqwGRbDl26YXMntwqZ6XcWkIkkMyc51zIelOPHbB3Wo9gOWnh7TIAZVPC5WU2JCLZzGnF5SR2b1IpuHk+G8cR/4/5lBVPWwFAWhV8YDxZlzTSdc2tggE6fD8+n1jNK/DbM9OWRiZTyWZOqy/G1L/JSDLmqyvzzfWG0+wm7/Ao6nuPMImAVUcXAWBv906XYQCylpS7K22H/7+j5m+L6gSArlyvbQ76w4i2s3Z4VWoB1G0NtbnpbT3pke1/cvU42jemU1bcKfqc1VoUDfE3V9oN/4ZkO3OvV+VHwkEBAIRlT46/ZeLPuOzfBGTi9xAxkh/tm2FNIdgsPhFc8s6ysnVPNs+3/fdQvaEk10P+xQIAEKefWuFK+kaXaDtjw6/3fYKeXt46fayZ/jDKpF03QwvZUiUANIftWDRm2L+GUTfdS2JpAQCv9Pphts2Qb3QMtnqk9niXHrBx7uhh3wynbXmQ0t8mfrVvoZP+P/6pN+XE854GuLLitw1TLXRGr7iR1CjHATrjD853Ig7VJzvM3X7+kW+Q//n1LvamRB3Dbw94vCzhyFQ9hRjz6bpZDsOH6Brv8Sv45HSE92l/uWnmWN2heqaHgns73thxe+bYDP3HP/4PeeKpSPo75Unbq33znKh6BH2nfQEl/N+5sob5dNdUWxqRQDawPBLaGy4uY+f47Z9lS6M5LtztnsB8azEtRuCKiTYkHYLh9x65nVqApqA1ztZEPYqh8/KDt3z9njw8vny0pSGFZDnvTHBmDU+Nqfn5DzfNnL3Dr5j/qU6AgjszHC11iYZ2Z+LfiyPXVD9e7mBFJNBMXFYevffE77G72yIbMwMabdTiy5G59E4NDiDKuuRia65HNhl9LpGt7EmDI2NGmehSzMdcSm1XAQB0ppweb22qSzEfcyGlfYCILa2g0v/4laSGj3X+y5tjLqwcM2ripRRebwmPSfPvTRtpQiKZ2e54Xt87T1krzr3z7QgjEtnMbmdYMwYgLbg3w9yESDaxnL7htGeQv9e1PbPMDahGpmPW3EssbxIAaITZN10sDIgUS8e9L1oGWjhRwasIOXP9dfub10DFSr2wZsyUn6Na3/hAIyz0XGxjTtInm9vPvNtrEGV76uVJhjQi1dx6ztaLPiF+Hhe2TzUik02sJm30zKhtEQJg4pqQvSMoJIqV02b/EnYrI6+kRQWg7WZGn5xjQaGQaNZTN116nllVV5GXFP4kNJMp1gLg4urgPeYUkp7V+AU+VRgAaLvyPNfQSCS9UROX+NcCAGCCEr+txiSi3siJS54wAeRNL0+NIZIIBiNGL/rp+uPnvndObphEI5DM7KbvepLXwBYDaHmFPluM9PSp9lP3hVZzWuh5Za1aAOiuDTs6Sl9X39Rp9vmeSC4VJ/3udwRdfZLD9O3R7QCgZmXe3uRM0CdTRi92C6PLAACEVSFutroEgtGocd8duO0f6nPj6NrxZF2ixbj5B4JLmts+NpVJw8l4sMGIoE8abvXtwjsFb7KklP7izEIzigGJSCFZuP5wNaa2L+ZLxc7x2jmBrEOimI1bcuhhXCG9rijt5fOn0YUcOQB05HjvMhs6VNdy2ur7FQDQmeu123KoLsHEzmXtsXsB4d6X9n7nSBimb+Wy4kRELVcs4hRE3N5/OqxGCgAgr3yyazzB/vvzyR2f1XbFOvN/22Gv77D8XBJvoPdOWOLnNlNXV5cwxH7R5qf0z7ns3wNk4g9RCxryo91/2bp07sK1+y96hSemv85JT3zhd2bdjOnTZ689eM7jRWGzWAMA2q78J8cWjTXTp9rO3n45JKu27NWN7XNsiGTruXvdkxpkWiW3wG/vjLGm+gQKyXn1LyGl7Z3sAv8908eY6hOoJNcNZ8IrebzmjAcbXO0M9YlUksuGM6HlPTP42VG7NmzdcOzKrVNHjlzyCk1MenFz9/dL1+2/k1Tfu8yBuj3Tc98se1OCgcPCfbcjcmuLI8+tmzqSRLNf7Oad0STVYgDi5oxH21xHmxKINOq0HZfDitukvxMH+YbmiA0zx+kPJ5jtf9I7i6m74uHu6SNpBINvd/jm9fZNKvgsRllm5PUNk+wsSBQjmqnjdye94woYPKn6I28jpuC31Ba8uLFu6mhjqiHN0MR47ILNbucv/nrkwOEj+4+cuPAgKK64WfTGDNqu2oRbWyaOMqGRqMZO229GVXRqJI0xVzdMGmlCNpu4+pffYvOrsp8cWjjOgmI6ft3F0NIODS4pu7/G0cxohOOU+fMXLlm4cPGCBYsWLFr+3U8XfFMYPamn4VW/uPydvZUxiWpitviYV1Jtl/LN/eLiurCza5wsTSgjJv941j+xsDLDZ89sR3OapevmG1GVnVo1rzLs3CJrC2MS1dR8gZtvVgufXRF6drG1hRGJZmqx/NTTPBafVejnNs3KzJBEM7dcfjIwj/X+Th5aKacq68WdnVPGTljk5hVbUN+leD/NsM6SZ2c2umd1yHEAULAKQn5dYW9qSKOYWE1ze5zZIMYwJacw9NxqO1NDGsVk5MSDvq8bxerOEj+3RXYmJoa2s3bcCEsvKom/t3HSSFMjm9n7PNOYAhkrN/DEMhtjGo1qZjPrl8CcJvEHX6zorMsOvbltirPril8DEovqe7uolfz6uBuehT0rdGBacXtNfrz3sfkjTU2pFEOjEQ6LTwWkljDaxColJ8djz+yRRiYmjgv2ub/MKiqIvrZqrIWJqcNCN7/XzRIA0MpbX3scWOxoaTZqypqfPWMLm3sCyHE5J+fxL6vHmxsSyaYjnWcu2Pard2wRRwYAmJiRdGe3i6GBAdHYeuzGW4m1vC5G0p1dkwxpBkRTO+edHml0Xkd19IUfR9NoNKKpndMOj/QGgbgp9eaWKeYGJubOy4/+lpRflPXs3FJbE2Nz5+9PhxRyFACg6WYm39w519bMwm7WhjN+yeVtElwtrI29vWO6KYVMNbCesOpWQg1HwM4P+HWtPZVCJViMcXULLG5Xg7wh7vL3xhQDEtnAcvKqC5ElPJWmmxF3cd1EY6qJlevqk0/SigrTA36ZZ2VgbOW69mJkRce7ay1jKkkHPfelx9FF9oY0miHJ0MbpuxP+6TXNQjUApmwrCDyz2opmaGBoQqEakCwnLNp7KyKH0aUEwNXCuribu+bbGlBIBhY2rgtWHLga8rqOpwRQ8MrCL2yaYkgiUaj2U9e6pzeLFYKK8F++G0sjm9pM33DheU5JfoLnoelmFCObGVtuJzaqNKLKV+4blmz++bJHUFSUz4Wd363c5ZHG+ezlNcUl4feOH3Mv/thKBRqFiF2ZFnhx61QrKoVmSDBxnLblSlg2g8X/YC3zv9cxwJMAAAT0SURBVCPIxAOhFLBqSnIzUtMyX2dlZ2fl5OUVFFcxmrl8iertQkslaK0tLa6kt3T2jPMpOhsri0sq6loFMg0AphRxWxqYdDqDQac3tPK6lSqFqKP3L3WMRlanRKWS89sb6xl0OoNJZzSyeN091+9m1TBZ7VKNVtrRSK8oysvLfZ1b1tj+zqxUXNHVVF1SUsVk8aVaAMCl3PqKotIqJkco71njQiPntzfV99wAs4nFEys/b6ceAAB1N6e5kV5HZ7aLFL3fiinaq7JTk7Nq2/v32sHUCqmYz22tZzDodAaTUVdDb+bwhFKVFv/YN2FquUTUwapnMul0JoPBpNfU1NKZTHpNTU/6vH8OrpJ0shqYDDqDwWAymjmdEhUOgEm5zIri0tqmdqGiZxSQXVdaWFbbxO1WYQAYP9979wxbYwKBQiTTSGQaiUwlEIjDiMaWE9bcz+TIAXCVhMduYDIYdAaTXt/S1vXuYwXQStro5cVl9BauuGcxEWFrbUlhBb2ZJ1HjgKu6eaz63tOZze1CuVrR3XdBBr2+lStSqBWi9hZGz2cYDa1ckeL9tMe1im5BRyuzprampoHNE8lUH2tKaPmMxi6VBoeedcVa6hkMBoPBYDJbuT2ZTCHmtjYwGD0309wukGl6tsqpKS2uYLI7JWoAAHlnY1VxUWU9q0uuwbUKYXszs/eUelbHm3X739wbppIKuC30qpra2kZOp0j2pmKlkfflB8A1Somwk9NEr2P0Xo3R3NYl7pmLiyn5zVUlJRUNbQKZBnqeWmVRcVVjm0DefwG1uI1ZXphbUNHAfSdvY9KO+rKclLioqPj0/FqOSNX3hTIBp5nB6MltjexOiUolE7Q1MxkMBp3OZDa18aUqlaSL1VjXcz/MJg5fpgHQyngNFSUlVU3cnm0VNGIOvbyouKaZK+qv/mAqIbuutCC3qKqJJ8UAAFdLutiNPT+NWd/Y1iVRqBUibmtDz8Xr61s7REoMMGV3J5vJYDLodbW1tY1csQoDAI2kg1leXFrd3CFW4gCgFrJqy4pKalt44vezOY5pVFIhj9PMqGMwGEwGncGsb+bwJXI1DoBjim4ep4XZ89AZjNqamuq6xnaBtD+3qEXs2oKMhFdR0UnZpY2dvRuWYSoxj9XIoDMYjDpGQ0MbX64BwFViDr2spKy2tTdfKPnN1aVFpXR2l0QNuFzc2VLHbG2hV5YW5b7OLqhmCf+jRTJlQj6nue2j5sYxjaK7q721kV7HYDCZDDqjvqGlXSBVqP96S8n/D0Am/l0wrUaj0XzpnWKwL30DgwhMwS15ef/4wWOX3X2DnoWFPg99/jzE7+GNI6snmBkYrvIs7Ppj9rJDIP66fLQijfhvgUyM+MshL/FcOWnMuruZ7+wmiSs48efmzFx9Jb7lE7OqEQgE4k8HmRjxlwNrz310ZPV3ey8HJuWXlpWWlJSWV1dXFL0Ov3/mVlRp2wBRnQgEAvGFQCZG/CVR8ZvL0mOeP75/7+6tW3fu+wZFJObXIAkjEIivEWRiBAKBQCC+JMjECAQCgUB8SZCJEQgEAoH4kiATIxAIBALxJUEmRiAQCATiS4JMjEAgEAjElwSZGIFAIBCILwkyMQKBQCAQXxJkYgQCgUAgviTIxAgEAoFAfEmQiREIBAKB+JIgEyMQCAQC8SVBJkYgEAgE4kuCTIxAIBAIxJfk/we5Uo3QihxilAAAAABJRU5ErkJggg==)
Dari diagram tersebut,
dapat dilihat bahwa:
a. Siswa yang mendapat
nilai 5 ada 3 orang.
b. Siswa yang mendapat
nilai 6 ada 7 orang.
c. Siswa yang mendapat
nilai 7 ada 9 orang.
d. Siswa yang mendapat
nilai 8 ada 7 orang.
e. Siswa yang mendapat
nilai 9 ada 4 orang.
Dari tabel tersebut
terlihat juga bahwa jumlah siswa yang mendapat nilai 6 dan 8 adalah sama, yaitu
7 siswa.
2.
Menafsirkan data
dalam bentuk diagram lingkaran
Perhatikan diagram lingkaran
yang menunjukkan hasil
panen desa suka maju mundur yang semua berjumlah 1000 ton
a.
Hasil panen padi
desa suka maju mundur adalah
40% X 1000 =
= 400 ton
b.
Hasil panen jagung
di desa suka maju mundur adalah
20% X 1000 =
= 200 ton
c.
Hasil panen ketela
di desa suka maju mundur adalah
30% X 1000 =
= 300 ton
d.
Hasil panen kelapa
di desa suka maju mundur adalah
10% X 1000 =
= 100 ton