(1) Nilai ulangan harian matematika dari 12 orang siswa
ditunjukkan data berikut:
58 45 80 85 48 65
44 90 95 75 60 70
Selisih antara datum terbesar dan datum terkecil dari data di atas adalah....
A. 45
B. 50
C. 55
D. 60
58 45 80 85 48 65
44 90 95 75 60 70
Selisih antara datum terbesar dan datum terkecil dari data di atas adalah....
A. 45
B. 50
C. 55
D. 60
(2) Perhatikan diagram di bawah ini!
Data di atas diambil dari
sekelompok siswa yang berjumlah 36 dengan berbagai kegiatan ekstrakurikuler
yang diikuti. Banyaknya siswa yang mengikuti kegiatan fotografi adalah....
A. 6 anak
B. 9 anak
C. 12 anak
D. 18 anak
(3) Nilai ujian matematika dari sepuluh orang siswa adalah sebagai berikut:
6, 6, 6, 7, 7, 8, 8, 8, 9, 9
Mean dari data di atas adalah....
A. 7,4
B. 7,5
C. 7,6
D. 7,7
(4) Nilai ujian matematika dari sepuluh orang siswa adalah sebagai berikut:
5, 6, 6, 7, 7, 8, 8, 8, 9, 9
Modus dari
data di atas adalah....
A. 5
B. 6
C. 7
D. 8
(5) Nilai rataan ujian dari 5 mata pelajaran yang diikuti Budi 80. Jika ditambahkan nilai mata pelajaran biologi, nilai rataan Budi menjadi 82 dengan demikian maka nilai biologi Budi adalah....
A. 90
B. 92
C. 94
D. 96
(6) Tinggi rata-rata 10 pemain sepakbola sebuah klub adalah 162 cm. Jika digabung dengan 5 pemain lagi maka tinggi rata-rata pemain tersebut adalah 160 cm. Tinggi rata-rata 5 pemain tersebut adalah….cm
A. 155
B. 156
C. 159
D. 160
(7) Data hasil ulangan matematika kelas 9 SMA Harapan Bangsa disajikan dalam bentuk histogram sebagai berikut:
![](data:image/png;base64,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)
Modus dari data tersebut adalah….
A. 5
B. 6
C. 7
D. 8
(8) Perhatikan tabel berikut ini.
![](data:image/png;base64,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)
Tabel tersebut menunjukkan data nilai ujian matematika sekelompok siswa. Nilai rata-rata dari data tersebut adalah....
A. 6,05
B. 6,10
C. 6,15
D. 6,20
(9) Nilai ujian matematika dari sepuluh orang siswa adalah sebagai berikut:
A. 5
B. 6
C. 7
D. 8
(5) Nilai rataan ujian dari 5 mata pelajaran yang diikuti Budi 80. Jika ditambahkan nilai mata pelajaran biologi, nilai rataan Budi menjadi 82 dengan demikian maka nilai biologi Budi adalah....
A. 90
B. 92
C. 94
D. 96
(6) Tinggi rata-rata 10 pemain sepakbola sebuah klub adalah 162 cm. Jika digabung dengan 5 pemain lagi maka tinggi rata-rata pemain tersebut adalah 160 cm. Tinggi rata-rata 5 pemain tersebut adalah….cm
A. 155
B. 156
C. 159
D. 160
(7) Data hasil ulangan matematika kelas 9 SMA Harapan Bangsa disajikan dalam bentuk histogram sebagai berikut:
Modus dari data tersebut adalah….
A. 5
B. 6
C. 7
D. 8
(8) Perhatikan tabel berikut ini.
Tabel tersebut menunjukkan data nilai ujian matematika sekelompok siswa. Nilai rata-rata dari data tersebut adalah....
A. 6,05
B. 6,10
C. 6,15
D. 6,20
(9) Nilai ujian matematika dari sepuluh orang siswa adalah sebagai berikut:
5, 6, 6, 7,
7, 8, 8, 8, 9, 9
Median dari data di atas adalah....
A. 6,5
B. 7
C. 7,5
D. 8
Median dari data di atas adalah....
A. 6,5
B. 7
C. 7,5
D. 8
10.
|
Tinggi rata - rata pemain inti
sebuah kesebelasan adalah 1,68m. Bila ditambah lima pemain caditunglah tinggi
rata - rata pemain cadangan.
|
1.
|
1,848
|
2.
|
2,672
|
3.
|
1,65
|
4.
|
1,56
|
11.
|
Dari data nilai ulangan matematika
kelas 9 sebagai berikut . Tentukan Mean nya ( rata - rata
) Nilai 3 4 5 6 7 8 9 Frekuensi 4 6 10 12 7 6 3
|
1.
|
5,9
|
2.
|
48
|
3.
|
282
|
4.
|
4,8
|
12.
|
Nilai 4 5 6 7 8 9 Frekuensi 3 4 7
6 3 2 Nilai ulangan matematika kelas 9F ditunjukkan pada tabel diatas.
Hitunglah nilai rata - ratanya ( mean )
|
1.
|
6,3
|
2.
|
6
|
3.
|
25
|
4.
|
158
|
13.
|
Dari data nilai ulangan matematika
kelas 9G berikut tentukan. Mediannya!
Nilai 4 5 6 7 8 9 Frekuensi 3 4 7 6 3 2
|
1.
|
6,5
|
2.
|
7
|
3.
|
6
|
4.
|
48
|
14.
|
Nilai 4 5 6 7 8 9 Frekuensi 3 4 7
6 3 2 Dari data nilai ulangan matematika diatas tentukan mediannya!
|
1.
|
6
|
2.
|
13
|
3.
|
6,3
|
4.
|
25
|
15.
|
Dari data 5,8,7,9,7,6,7,9,10,8.
Tentukan modusnya
|
1.
|
7,6
|
2.
|
7
|
3.
|
7,5
|
4.
|
10
|
Jawaban
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