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Consider a large-sample level 0.01 test for testing Ho: p 0.2 against Ha: p> 0.2. 0.21,...
Consider a large-sample level 0.01 test for testing Ho: p 0.2 against Ha: p > 0.2....
Consider a large-sample level 0.01 test for testing Ho: p 0.2 against Ha: p > 0.2. (a) For the alternative value p 0.21, compute P(O.21) for sample sizes n 121, 3600, 14,400, 40,000, and 90,000. (Round your answers to four decimal places.) 121 9777 3600 14,400 40,000 90,0000 (b) Forþ = x/n = 0.21, compute the P-value when n = 121, 3600, 14,400, and 40,000. (Round your answers to four decimal places.) P-value 121 3600 14,400 40,000 0
need help Apps Consider a large-sample level 0.01 test for testing Ho: P-0.2 against Ha: P...
need help
Apps Consider a large-sample level 0.01 test for testing Ho: P-0.2 against Ha: P > o.2. (a) For the alternative value p-o.21, compute β(0.21) for sample sizes n 100, 4900, 10,000, 40,000, and 90,000. (Round your answers to four decimal places.) 100 4900 10,000 40,000 0.0044 90,000 0.0000 (b) For p x/n 0.21, compute the P-value when n 100, 49o0, 10,000, and 40,000. (Round your answers to four decimal places.) p-value 100 4900 10,000 40,000 0,0000 (c) In...
Consider a large-sample level 0.01 test for testing H0: p = 0.2 against Ha: p >...
Consider a large-sample level 0.01 test for testing H0: p = 0.2 against Ha: p > 0.2. (a) For the alternative value p = 0.21, compute β(0.21) for sample sizes n = 100, 1600, 10,000, 40,000, and 90,000. (Round your answers to four decimal places.) n β 100 1600 10,000 40,000 90,000 (b) For p̂ = x/n = 0.21, compute the P-value when n = 100, 1600, 10,000, and 40,000. (Round your answers to four decimal places.) n P-value 100...
Consider a large-sample level 0.01 test for testing H0: p = 0.2 against Ha: p > 0.2. (a) For t...
Consider a large-sample level 0.01 test for testing H0: p = 0.2 against Ha: p > 0.2. (a) For the alternative value p = 0.21, compute β(0.21) for sample sizes n = 100, 1600, 12,100, 40,000, and 90,000. (Round your answers to four decimal places.) n β 100 _____ 1600 _____ 12100 _____ 40000 _____ 90000 _____ (b) For p̂ = x/n = 0.21, compute the P-value when n = 100, 1600, 12,100, and 40,000. (Round your answers to four...
4 Consider a large-sample level 0.01 test for testing Ho: P = 0.2 against Hp >...
4 Consider a large-sample level 0.01 test for testing Ho: P = 0.2 against Hp > 0.2. (a) For the alternative value p = a) 0.21, compute B(0.21) for sample sizes n = 64, 1600, 14,400, 40,000, and 90,000. (Round your answers to four decimal places.) л B 64 1600 14,400 40,000 90,000 b) (b) For p = xin = 0.21, compute the P-value when n = 64, 1600, 14,400, and 40,000. (Round your answers to four decimal places.) P-value...
Consider using a z test to test H0: p = 0.2. Determine the P-value in each...
Consider using a z test to test H0: p = 0.2. Determine the P-value in each of the following situations. (Round your answers to four decimal places.) (a) Ha: p > 0.2, z = 1.46 (b) Ha: p < 0.2, z = −2.77 (c) Ha: p ≠ 0.2, z = −2.77 (d) Ha: p < 0.2, z = 0.25
Suppose you are testing the hypotheses Ho : p=0.21 vs. p +0.21 with significance level a...
Suppose you are testing the hypotheses Ho : p=0.21 vs. p +0.21 with significance level a = 0.05. A sample size of 209 results in a sample proportion of 0.26. As you know, one way to address two-sided tests is to create confidence intervals. Construct the appropriate confidence interval for p that could be used to address the test and report the upper limit of the confidence interval. Note: 1- Only round your final answer to 2 decimal places. Enter...
Consider testing Ho: u = 20 against Ha: u< 20 where u is the mean number...
Consider testing Ho: u = 20 against Ha: u< 20 where u is the mean number of latex gloves used per week by all hospital employees, based on the summary statistics n = 47, X = 19.2, and s = 11.5. Complete parts a and b. a. Compute the p-value of the test. The p-value of the test is . (Round to four decimal places as needed.) b. Compare the p-value with a = 0.05 and make the appropriate conclusion....
Consider the following hypothesis test: H: p > 0.75 Ha: p<0.75 A sample of 300 items...
Consider the following hypothesis test: H: p > 0.75 Ha: p<0.75 A sample of 300 items was selected. Compute the p-value and state your conclusion for each of the following sample results. Use Q=.05. Round your answers to four decimal places. a. p = 0.68 p-value Conclusion: p-value - Select your answer H b. p = 0.72 HO P-value Conclusion: p-value Select your answer - C: 7 = 0.7 p-value Conclusion: p-value Select your answer d. P = 0.79 Но...
Consider the following hypotheses: Ho: p2 0.3!5 HA: p<0.35 Compute the p-value based on the following...
Consider the following hypotheses: Ho: p2 0.3!5 HA: p<0.35 Compute the p-value based on the following sample information. (You may find it useful to reference the appropriate table: z table or ttable) (Round "z" valueto 2 decimal places. Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) p-value a. x- 30; n130 b.x-85; n-327 С. р- 0.33; n 64 d. p-0.33; n 448
Consider a large-sample level 0.01 test for testing Ho: p 0.2 against Ha: p > 0.2. (a) For the alternative value p 0.21, compute P(O.21) for sample sizes n 121, 3600, 14,400, 40,000, and 90,000. (Round your answers to four decimal places.) 121 9777 3600 14,400 40,000 90,0000 (b) Forþ = x/n = 0.21, compute the P-value when n = 121, 3600, 14,400, and 40,000. (Round your answers to four decimal places.) P-value 121 3600 14,400 40,000 0
need help
Apps Consider a large-sample level 0.01 test for testing Ho: P-0.2 against Ha: P > o.2. (a) For the alternative value p-o.21, compute β(0.21) for sample sizes n 100, 4900, 10,000, 40,000, and 90,000. (Round your answers to four decimal places.) 100 4900 10,000 40,000 0.0044 90,000 0.0000 (b) For p x/n 0.21, compute the P-value when n 100, 49o0, 10,000, and 40,000. (Round your answers to four decimal places.) p-value 100 4900 10,000 40,000 0,0000 (c) In...
4 Consider a large-sample level 0.01 test for testing Ho: P = 0.2 against Hp > 0.2. (a) For the alternative value p = a) 0.21, compute B(0.21) for sample sizes n = 64, 1600, 14,400, 40,000, and 90,000. (Round your answers to four decimal places.) л B 64 1600 14,400 40,000 90,000 b) (b) For p = xin = 0.21, compute the P-value when n = 64, 1600, 14,400, and 40,000. (Round your answers to four decimal places.) P-value...
Suppose you are testing the hypotheses Ho : p=0.21 vs. p +0.21 with significance level a = 0.05. A sample size of 209 results in a sample proportion of 0.26. As you know, one way to address two-sided tests is to create confidence intervals. Construct the appropriate confidence interval for p that could be used to address the test and report the upper limit of the confidence interval. Note: 1- Only round your final answer to 2 decimal places. Enter...
Consider testing Ho: u = 20 against Ha: u< 20 where u is the mean number of latex gloves used per week by all hospital employees, based on the summary statistics n = 47, X = 19.2, and s = 11.5. Complete parts a and b. a. Compute the p-value of the test. The p-value of the test is . (Round to four decimal places as needed.) b. Compare the p-value with a = 0.05 and make the appropriate conclusion....
Consider the following hypothesis test: H: p > 0.75 Ha: p<0.75 A sample of 300 items was selected. Compute the p-value and state your conclusion for each of the following sample results. Use Q=.05. Round your answers to four decimal places. a. p = 0.68 p-value Conclusion: p-value - Select your answer H b. p = 0.72 HO P-value Conclusion: p-value Select your answer - C: 7 = 0.7 p-value Conclusion: p-value Select your answer d. P = 0.79 Но...
Consider the following hypotheses: Ho: p2 0.3!5 HA: p<0.35 Compute the p-value based on the following sample information. (You may find it useful to reference the appropriate table: z table or ttable) (Round "z" valueto 2 decimal places. Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) p-value a. x- 30; n130 b.x-85; n-327 С. р- 0.33; n 64 d. p-0.33; n 448
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