24 We have 95% confidence in our interval, instead of 100%.because we need to ac

Question

24 We have 95% confidence in our interval, instead of 100%.because we need to account for the fact that: a) the sample may not be truly random. b) we have a sample, and not the whole population. c) the distribution of hours worked may be skewed d) all of the above The researchers are not satisfied with their confidence interval and want to do another study to find a shorter confidence interval. What should they change to ensure they find a shorter confidence interval? a) They should increase their confidence level and increase their sample size. b) They should increase their confidence level but decrease their sample size. c) They should decrease their confidence level but increase their sample size. d) They should decrease their confidence level and decrease their sample size. Suppose our p-value is .044. What will our conclusion be at alpha levels of .10, .05, and .01? a) We will reject H_o at alpha = .10, but not at alpha = .05 b) We will reject H_o at alpha = .10 or .05, but not at alpha = .01 c) We will reject H_o at alpha = .10, .05, or.01 d) We will not reject H_o at alpha = .10, .05, or .01

Explanation / Answer

Solution:

Option b) We will reject Ho at alpha = 0.10 or 0.05, but not at aplha = 0.01

Explanation:

suppose our p-vaue is 0.044. What will our conclusion be at alpha levels of 0.10, 0.05 and 0.1
here P-value: 0.044 < 0.10, 0.05
P-value: 0.044 > 0.1
So, we will reject Ho at alpha = 0.10 or 0.05 but not at aplha = 0.01

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