A Male Female Total Not at all 25 25 50 0.403226 Somewhat 16 19 35 0.282258 Very 24 15 39 0.314516 Total 65 59 124 26.20968 23.79032 18.34677 16.65323 20.44355 18.55645 0.359059
A. Identify what the null and alternative hypothesis are in the chi-square method video example (use a two-tailed hypothesis for both null and alternative).. B. Identify the P value in the video example C. Use hypothesis testing to either accept or reject the null or alternative hypothesis.
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B
D
F
Male
Female Total
Not at all
25
25
50 0.403226
Somewhat
16
19
35 0.282258
Very
24
15
39 0.314516
Total
65
59
124
26.20968 23.79032
18.34677 16.65323
20.44355 18.55645
0.359059"
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The test of independence of attributes (for two variables) under the Chi-square test essentially concludes if a possible significant relationship (or association) between two given variables, i.e., gender and another assumed variable (which is further characterized by the attributes of "not at all", "somewhat", and "very"), can be concluded. The test statistic, i.e.,
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