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1. Describe the distribution of the two variables of interest - gender and test scores - using a graphing technique and/or appropriate measures of central tendency and variability.
2. Describe the observed gender differences in the distribution of test scores using a graphing technique and/or appropriate measures of central tendency and variability.
3. Perform a statistical hypothesis test to assess whether the observed gender difference in test scores is statistically significant and interpret your results for your boss.
RAW DATA:
Student #
Gender
Test Score
1
Female
58
2
Male
78
3
83
4
97
5
89
6
95
7
88
8
92
9
51
10
68
11
98
12
81
13
75
14
15
16
17
39
18
66
19
65
20
91
21
28
22
62
23
99
24
85
25
87
26
27
73
100
29
69
30
63
31
33
32
56
34
35
90
36
79
37
38
71
40
84
41
72
42
43
44
45
46
47
93
48
67
49
50
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