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Match up the following: 3Rejection of HO when HO0 is false, or not rejecting Ho when...
Question 5 (1.25 points) Match each of the following: Rejecting Ho when it is false Failing...
Question 5 (1.25 points) Match each of the following: Rejecting Ho when it is false Failing to reject Ho when it is true 1. Type 1 Error Correct Decision Failing to reject Ho when it is false 3. Type II Error Rejecting Ho when it is true
Match the rules for rejecting HO at the right to the following tests One-tail test with...
Match the rules for rejecting HO at the right to the following tests One-tail test with lower reject region 1. test statistic > positive critical value One-tail test with upper reject region 2. test statistic < negative critical value 3 Two-tail test with lower and upper reject regions 3. test statistic outside interval (negative critical value, positive critical value) 4. pvalue < a For any test hypothesis, ANOVA, or Chi Squared, this rule for rejecting HO always applies
8. Match the rules for rejecting H0 at the right to the following tests a. Two-tail...
8. Match the rules for rejecting H0 at the right to the following tests a. Two-tail test with lower and upper reject regions b. One-tail test with lower reject region c. For any test hypothesis, ANOVA, or Chi Squared, this rule for rejecting H0 always applies. d. One-tail test with upper reject region (1) test statistic > positive critical value (2) test statistic < negative critical value (3) test statistic outside interval (negative critical value, positive critical...
Type II error occurs when an individual fails to reject H0 when H0 is false. True...
Type II error occurs when an individual fails to reject H0 when H0 is false. True False
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...
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...
D Chapter 15 Problem Set Suppose you are planning a study that will est the following one-tailed ...
D Chapter 15 Problem Set Suppose you are planning a study that will est the following one-tailed hypotheses: To evaluate the power of your study, you consider a specific alternative hypothesis, μ-Ha, where μ.> μ。. The following sketch shows two overlapping sampling distributions of X-one when Ho is true (and H1 is false), the other when Hy is true (and Ho is false). The distribution on the left has a mean of yo and represents the sampling distribution of X...
Determine whether the following statements are true or false. If the statement is false, then explain...
Determine whether the following statements are true or false. If the statement is false, then explain why the statement is false or rewrite the statement so that it is true. A Type I error in a hypothesis test occurs when we fail to reject the null hypothesis when the null hypothesis is actually false. A Type II error occurs when we reject the null hypothesis when the null hypothesis is actually true.
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
Question 5 (1.25 points) Match each of the following: Rejecting Ho when it is false Failing to reject Ho when it is true 1. Type 1 Error Correct Decision Failing to reject Ho when it is false 3. Type II Error Rejecting Ho when it is true
Match the rules for rejecting HO at the right to the following tests One-tail test with lower reject region 1. test statistic > positive critical value One-tail test with upper reject region 2. test statistic < negative critical value 3 Two-tail test with lower and upper reject regions 3. test statistic outside interval (negative critical value, positive critical value) 4. pvalue < a For any test hypothesis, ANOVA, or Chi Squared, this rule for rejecting HO always applies
D Chapter 15 Problem Set Suppose you are planning a study that will est the following one-tailed hypotheses: To evaluate the power of your study, you consider a specific alternative hypothesis, μ-Ha, where μ.> μ。. The following sketch shows two overlapping sampling distributions of X-one when Ho is true (and H1 is false), the other when Hy is true (and Ho is false). The distribution on the left has a mean of yo and represents the sampling distribution of X...
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
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