Question

Use the sample data below to test the hypotheses H 0:  p 1 =  p 2 =  p 3...

Use the sample data below to test the hypotheses

H 0:  p 1 =  p 2 =  p 3

H a: Not all population proportions are the same

Populations
Response 1 2 3
Yes 150 150 92
No 100 150 108

where  p i is the population proportion of yes responses for population  i. Using a .05 level of significance. Use Table 12.4.

a. Compute the sample proportion for each population. Round your answers to two decimal places.

1 =  

2 =  

3 =  

b. Use the multiple comparison procedure to determine which population proportions differ significantly. Use a .05 level of significance. Round  p i,  pj and difference to two decimal places. Round critical value to four decimal places.

Comparison p i p j Difference n i n j Critical Value Significant Diff > CV
1 vs 2 - Select your answer -YesNoItem 10
1 vs 3 - Select your answer -YesNoItem 17
2 vs 3 - Select your answer -YesNoItem 24


- Select your answer -1 and 21 and 32 and 3none of themItem 25

Homework Answers

Answer #1

a)

p̅1=150/250= 0.6
p̅2=150/300= 0.5
p̅3=92/200 = 0.46

b)

for 2 df and 0.05 level X2 = 5.9915
As Criitcal value =√X2*√(p̅1*(1-p̅1)/n1+p̅2*(1-p̅2)/n2)
critical val
Comparison pi pj |abs diff| ni nj value significant diff >CV
1 vs 2 0.60 0.50 0.10 250 300 0.1037 not significant difference
1 vs 3 0.60 0.46 0.14 250 200 0.1149 significant difference
2 vs 3 0.50 0.46 0.04 300 200 0.1115 not significant difference

1 vs 3 are different

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Use the sample data to test the hypothesis. H0:p1=p2=p3. Ha:Not all population proportions are the same...
Use the sample data to test the hypothesis. H0:p1=p2=p3. Ha:Not all population proportions are the same Population 1: yes 150 no 100. Population 2: yes 150 no 150. Population 3: yes 91 no 109. where Pi is the population proportion of yes responses for population i. Using a .05 level of significance. Compute the sample proportion for each population. Round your answers to two decimal places. P1=? P2=?P3? Use the multiple comparison procedure to determine which population proportions differ significantly....
Use the sample data below to test the hypotheses : : Not all population proportions are...
Use the sample data below to test the hypotheses : : Not all population proportions are the same Populations Response 1 2 3 Yes 200 200 91 No 150 200 109 where is the population proportion of yes responses for population . Using a level of significance 0.05. The p-value is - Select your answer -less than .005between .005 and .01between .01 and .025between .025 and .05between .05 and .10greater than .10 What is your conclusion? - Select your answer...
Benson Manufacturing is considering ordering electronic components from three different suppliers. The suppliers may differ in...
Benson Manufacturing is considering ordering electronic components from three different suppliers. The suppliers may differ in terms of quality in that the proportion or percentage of defective components may differ among the suppliers. To evaluate the proportion defective components for the suppliers, Benson has requested a sample shipment of 500 components from each supplier. The number of defective components and the number of good components found in each shipment is as follows.   Supplier Component A B C Defective 10 30...
Use the sample data below to test the hypotheses H0: p1 = p2 = p3 Ha:...
Use the sample data below to test the hypotheses H0: p1 = p2 = p3 Ha: not all population proportions are equal where pi is the population proportion of Yes responses for population i. Response Populations 1 2 3 Yes 155 155 86 No 105 155 94 Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = Using a 0.05 level of significance, state...
Use the sample data below to test the hypothese. H0: p1=p2=p3. Ha: Not all population proportions...
Use the sample data below to test the hypothese. H0: p1=p2=p3. Ha: Not all population proportions are the same. Population 1: yes 150 no 100. Population 2: yes 150 no 150. Population 3 yes 97 no 103. Where Pi is the population proportion of yes responses for population i. Using a .05 level of significance the p-value=____?
Test the following hypotheses by using the χ 2 goodness of fit test. H 0: p...
Test the following hypotheses by using the χ 2 goodness of fit test. H 0: p A = 0.2, p B = 0.4, and p C = 0.4 Ha: The population proportions are not p A = 0.2 , p B = 0.4 , and p C = 0.4 A sample of size 200 yielded 40 in category A, 120 in category B, and 40 in category C. Use  = .01 and test to see whether the proportions are as stated...
In a quality control test of parts manufactured at Dabco Corporation, an engineer sampled parts produced...
In a quality control test of parts manufactured at Dabco Corporation, an engineer sampled parts produced on the first, second, and third shifts. The research study was designed to determine if the population proportion of good parts was the same for all three shifts. Sample data follow. Production Shifts Quality First Second Third Good 285 368 176 Defective 15 32 24 b. If the conclusion is that the population proportions are not all the same, use a multiple comparison procedure...
In a quality control test of parts manufactured at Dabco Corporation, an engineer sampled parts produced...
In a quality control test of parts manufactured at Dabco Corporation, an engineer sampled parts produced on the first, second, and third shifts. The research study was designed to determine if the population proportion of good parts was the same for all three shifts. Sample data follow. Production Shift Quality First Second Third Good 285 368 176 Defective 15 32 24 b. If the conclusion is that the population proportions are not all the same, use a multiple comparison procedure...
est the following hypotheses by using the χ 2 goodness of fit test. H 0: p...
est the following hypotheses by using the χ 2 goodness of fit test. H 0: p A = 0.4, p B = 0.2, and p C = 0.4 Ha: The population proportions are not p A = 0.4 , p B = 0.2 , and p C = 0.4 A sample of size 200 yielded 50 in category A, 120 in category B, and 30 in category C. Use  = .01 and test to see whether the proportions are as stated...
Consider the following competing hypotheses and accompanying sample data. Use Table 1. H0 : P1− P2...
Consider the following competing hypotheses and accompanying sample data. Use Table 1. H0 : P1− P2 = 0.20 HA : P1− P2 ≠ 0.20   x1 = 150 x2 = 130   n1 = 250 n2 = 400 a. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)   Test statistic    b. Approximate the p-value. p-value < 0.01 0.01 ≤ p-value < 0.025 0.025 ≤ p-value < 0.05...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT