The table with different value so n are as
n | |
14400 | |
40000 | |
90000 |
(b) Value of test static is
As test is right tailed we have the P-value as
Thus we have the table as
n | P-value |
14400 | |
40000 | |
c) First option is correct
AS for 40000 sample we get P-value 0.0000003 and beta value 0.0044
4 Consider a large-sample level 0.01 test for testing Ho: P = 0.2 against Hp >...
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...
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...
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 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
Consider a large-sample level 0.01 test for testing Ho: p 0.2 against Ha: p> 0.2. 0.21, compute β(0.21) for sample sizes n-81, 4900, 10,000, 40,000, and 90,000. (Round your answers to four decimal places.) (a) For the alternative value ρ 81 4900 10,000 40,000 90,000 (b) For p = x/n = 0.21, compute the P-value when n 81, 4900, 10,000, and 40,000. (Round your answers to four decimal places.) n P-value 81 4900 10,000 40,000
The drying time of a certain type of paint under specified test conditions is known to be normally distributed with mean value 75 min and standard deviation 9 min. Chemists have proposed a new additive designed to decrease average drying time. It is believed that drying times with this additive will remain normally distributed with σ = 9. Because of the expense associated with the additive, evidence should strongly suggest an improvement in average drying time before such a conclusion...
4-116 Suppose we wish to test the hypothesi s Ho: u WILEY versus the alternative : > 85 where T-16. Suppose that the true mean is μ 86 and that in the practical context of the -85 that has practical problem this is not a departure from μ0 significance (a) For a test with α 0.01, compute β for the sample sizes n-25, 100, 400, and 2500 assuming that μ-86 (b) Suppose the sample average is x - 86. Find...
Attempts:Keep the Highests 4. Sample size, statistical significance, and practical importance Cities across the country are passing higher minimum wages, increasing the discrepancy between the wages in the dity and those in the suburbs. Suppose you are interested in the relationship between unemployment duration in the city and the surrounding suburbs in areas where the dites have minimum wages that are at least $3 higher than the minimum wages of the surrounding suburbs. The results are shown in the following...
8. A random sample of 25 college males was obtained and each was asked to report their actual height and what they wished as their ideal height. A 95% confidence interval for μd= average difference between their ideal and actual heights was 0.8" to 2.2". Based on this interval, which one of the null hypotheses below (versus a two-sided alternative)can be rejected? A. H0: μd= 0.5 B. H0: μd= 1.0 C. H0: μd= 1.5 D. H0: μd= 2.0 9. The...
1. Which of the following will increase the value of the power in a statistical test of hypotheses? (a) Increase the Type II error probability. (b) Increase the sample size. (c) Reject the null hypothesis only if the P-value is smaller than the level of significance. (d) All of the above 2. A significance test gives a P-value of 0.023. This means that the result is statistically significant at (a) both the 0.01 and the 0.05 levels. (b) neither the...