1.) The Probability of correctly rejecting H0 when H0 is false is called the: a.) Level...
1.) The Probability of correctly rejecting H0 when H0 is false is called the:
a.) Level of significance
b.) Type I error
c.) Power of the Test
d.) large-sample validity
..................................................................................
2.) As the sample size increases, the power of the test:
a.) decreases
b.) increases
c.) does not change
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1.) The Probability of correctly rejecting H0 when H0 is false
is called the:
a.) Level...
Which of the following correctly describes the effect of decreasing the significance level (e.g. from p...
Which of the following correctly describes the effect of decreasing the significance level (e.g. from p < .05 to p < .01) in hypothesis testing? A. It increases the likelihood of rejecting H0 and increases the risk of a Type I error. B. It decreases the likelihood of rejecting H0 and increases the risk of a Type I error. C. It increases the likelihood of rejecting H0 but decreases the risk of a Type I error. D. It decreases the...
1. a) For a test at a fixed significance level, and with given null and alternative...
1. a) For a test at a fixed significance level, and with given null and alternative hypotheses, what will happen to the power as the sample size increases? b) For a test of a given null hypothesis against a given alternative hypothesis, and with a given sample size, describe what would happen to the power of the test if the significance level was changed from 5% to 1%. c) A test of a given null hypothesis against a given alternative...
When conducting a hypothesis test for a given sample size, if the probability of a Type...
When conducting a hypothesis test for a given sample size, if the probability of a Type I error decrease, the the A. probability of incorrectly not rejecting the null hypothesis decreases. B. probability of incorrectly not rejecting the null hypothesis increases. C. probability of incorrectly rejecting the null hypothesis increases. D. probability of type II error decreases.
Which of the following statements is FALSE? a.) The power of a hypothesis test is the...
Which of the following statements is FALSE? a.) The power of a hypothesis test is the probability of not making a Type II error. b.) Alpha (α) is equal to the probability of making a Type I error. c.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type I Error. d.) A smaller sample size would increase the effectiveness of a hypothesis test.
1. A random sample of 29 BSN nurses at a large Michigan hospital have the average...
1. A random sample of 29 BSN nurses at a large Michigan hospital have the average (mean) hourly wage of $37.55 with the standard deviation of $4.66. If we want a 99% confidence interval to have a margin of error of no more than $3, what is the minimum required sample size we should take? (Hint: use t*=2.7633) 2. A test of the hypotheses H0: mu=17 vs. Ha: mu >17 is conducted. Sample data of n=30 cases provides x-bar=14 with...
1. A random sample of 29 BSN nurses at a large Michigan hospital have the average...
1. A random sample of 29 BSN nurses at a large Michigan hospital have the average (mean) hourly wage of $37.55 with the standard deviation of $4.66. If we want a 99% confidence interval to have a margin of error of no more than $3, what is the minimum required sample size we should take? (Hint: use t*=2.7633) 2. A test of the hypotheses H0: mu=17 vs. Ha: mu >17 is conducted. Sample data of n=30 cases provides x-bar=14 with...
Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the...
Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the level of significance is less than the p- value, the null hypothesis is rejected. (Ch10) True False Question 22 (4 points) Everything else being constant, increasing the sample size decreases the probability of committing a Type II error. (Ch10) True False The power of a statistical test is the probability of not rejecting the null hypothesis when it is true. (Ch10) True False Question...
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a...
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a sample under the assumption that the null hypothesis is true that is more unusual than the observed sample b. The probability of making a Type 1 error The probability of making a Type Il error. d. The probability of correctly rejecting the null hypothesis.
1a. A random sample of 29 BSN nurses at a large Michigan hospital have the average (mean) hourly wage of $37.55 with the...
1a. A random sample of 29 BSN nurses at a large Michigan hospital have the average (mean) hourly wage of $37.55 with the standard deviation of $4.66. If we want a 99% confidence interval to have a margin of error of no more than $3, what is the minimum required sample size we should take? (Hint: use t*=2.7633) 1b. A test of the hypotheses H0: mu=17 vs. Ha: mu >17 is conducted. Sample data of n=30 cases provides x-bar=14 with...
2. (2 True-False. Just say whether each statement is True or False – no need to justify...
2. (2 True-False. Just say whether each statement is True or False – no need to justify your answer. 1. If the number of trials in the binomial distribution increases by 1 (and P equals .50), the probability of getting either of the most extreme possible outcomes (that is, 0 or N) is cut in half. 2. If the number of trials in the binomial distribution increases by 1 (and P does not equal .50), the probability of getting either of...
Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the level of significance is less than the p- value, the null hypothesis is rejected. (Ch10) True False Question 22 (4 points) Everything else being constant, increasing the sample size decreases the probability of committing a Type II error. (Ch10) True False The power of a statistical test is the probability of not rejecting the null hypothesis when it is true. (Ch10) True False Question...
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a sample under the assumption that the null hypothesis is true that is more unusual than the observed sample b. The probability of making a Type 1 error The probability of making a Type Il error. d. The probability of correctly rejecting the null hypothesis.
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