All hypotheses are two-tailed. Please analyze the following data and type up an APA discussion. Also, be sure to present graphs and/or tables for major analysis when appropriate. 1: To determine if the number of male and female political candidates continues to differ (as it has historically), the researcher wants to know if the observed frequency of males and females differs from the expected frequency of males (expected frequency = 9) and females (expected frequency = 9) in the general population. (Dataset) CODINGS: Sex 1= Male. Region 1= Northern. Party 1= Democrat. Sex 2= Female. Region 2= Southern. Party 2= Republican. Participant/Region/Party/Favorable/Sex/Income/Age. 1 1 1 56 1 42,000 65 2 1 2 61 1 39,000 27 3 1 1 38 1 32,000 57 4 1 2 59 2 60,000 34 5 1 1 75 1 19,000 36 6 1 2 50 2 84,000 51 7 1 2 58 1 56,000 37 8 1 1 32 1 14,000 64 9 1 2 48 1 98,000 40 10 2 1 60 1 89,000 34 11 2 2 50 2 29,000 62 12 2 1 69 1 24,000 31 13 2 2 42 1 49,000 30 14 2 1 70 1 40,000 30 15 2 2 40 2 39,000 49 16 2 1 64 1 93,000 33 17 2 2 41 1 54,000 38 18 2 1 32 1 45,000 32
All hypotheses are two-tailed. Please analyze the following data and type up an APA discussion. Also, be sure to present graphs and/or tables for major analysis when appropriate.
1: To determine if the number of male and female political candidates continues to differ (as it has historically), the researcher wants to know if the observed frequency of males and females differs from the expected frequency of males (expected frequency = 9) and females (expected frequency = 9) in the general population.
(Dataset)
CODINGS:
Sex 1= Male. Region 1= Northern. Party 1= Democrat.
Sex 2= Female. Region 2= Southern. Party 2= Republican.
Participant/Region/Party/Favorable/Sex/Income/Age.
1 1 1 56 1 42,000 65
2 1 2 61 1 39,000 27
3 1 1 38 1 32,000 57
4 1 2 59 2 60,000 34
5 1 1 75 1 19,000 36
6 1 2 50 2 84,000 51
7 1 2 58 1 56,000 37
8 1 1 32 1 14,000 64
9 1 2 48 1 98,000 40
10 2 1 60 1 89,000 34
11 2 2 50 2 29,000 62
12 2 1 69 1 24,000 31
13 2 2 42 1 49,000 30
14 2 1 70 1 40,000 30
15 2 2 40 2 39,000 49
16 2 1 64 1 93,000 33
17 2 2 41 1 54,000 38
18 2 1 32 1 45,000 32
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