10 stas mult choice
QUESTION 1
1. The level of significance refers to the probability of making a Type II error.
True
False
QUESTION 6
1. When your sample size increases, the chance of both Type I and Type II error will increase.
True
False
QUESTION 8
1. If a judge acquits every defendant, the judge will never commit a Type I error (the null hypothesis is the hypothesis of innocence).
True
False
QUESTION 10
1. The probability of rejecting a false null hypothesis increases as the sample size increases, other things being equal.
True
False
QUESTION 11
1. We have created a 95% confidence interval for μ with the result (10, 15). What decision will we make if we test H0 : μ = 16 versus H1 : μ ≠ 16 at α = 0.10?
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Reject H0 in favor of H1. |
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Accept H0 in favor of H1. |
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Fail to reject H0 in favor of H1. |
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We cannot tell what our decision will be from the information given. |
QUESTION 20
1. When the probability of a Type I error increases, the probability of a Type II error must decrease, ceteris paribus.
True
False
QUESTION 21
1. Sampling error occurs when the population parameter and the sample statistic are different.
True
False
QUESTION 23
1. The standard normal distribution has a mean of 0 and a standard deviation of 1.0.
True
False
QUESTION 27
1. If a normal population has parameters μ = 40 (mew = 40) and σ = 8 (sigma = 8), then for a sample size n = 4:
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the standard error of the sample mean is approximately 2 |
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the standard error of the sample mean is approximately 4 |
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the standard error of the sample mean is approximately 8 |
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the standard error of the sample mean is approximately 10 |
QUESTION 31
1. A sample of 16 ATM transactions shows a mean transaction time of 67 seconds with a standard deviation of 12 seconds. Find the critical value to test whether the mean transaction time exceeds 60 seconds at α = .01 (alpha = .01).
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2.947 |
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2.602 |
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2.583 |
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2.333 |