The two-way table below shows the results for a sample of people answering "yes" to some question. The hypotheses below can be used to test if the proportion saying "yes" in the larger population of those in Group1 is larger than the proportion saying "yes" in the larger population of those in Group 2. • HO: p1 - p2 = 0 • Ha : p1 - p2 >0 Yes No Total Group 1 128 72 200 Group 2 55 45 100 Total 183 117 300 If we want to compute the Standard Error for the difference, assuming the null hypothesis is true, we need to compute the "pooled" proportion. What is the "pooled" proportion? Round to two decimal places. Answer:
The two-way table below shows the results for a sample of people answering "yes" to some question. The hypotheses below can be used to test if the proportion saying "yes" in the larger population of those in Group1 is larger than the proportion saying "yes" in the larger population of those in Group 2. • HO: p1 - p2 = 0 • Ha : p1 - p2 >0 Yes No Total Group 1 128 72 200 Group 2 55 45 100 Total 183 117 300 If we want to compute the Standard Error for the difference, assuming the null hypothesis is true, we need to compute the "pooled" proportion. What is the "pooled" proportion? Round to two decimal places. Answer:
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
Transcribed Image Text:The two-way table below shows the results for a sample of people answering "yes" to some question. The hypotheses below can be used to test if the proportion saying "yes" in the larger population of
those in Group1 is larger than the proportion saying "yes" in the larger population of those in Group 2.
• HO:p1-p2= 0
• Ha: p1-p2 > 0
Yes
No
Total
Group 1
128
72
200
Group 2
55
45
100
Total
183
117
300
If we want to compute the Standard Error for the difference, assuming the null hypothesis is true, we need to compute the "pooled" proportion. What is the "pooled" proportion? Round to two decimal
places.
Answer:
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