Question

For each problem, select the best response. (a) The P -value of a test of a...

For each problem, select the best response.

(a) The P -value of a test of a null hypothesis is

A. the probability the null hypothesis is false.
B. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.
C. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.
D. the probability the null hypothesis is true.

(b) In testing hypotheses, which of the following would be strong evidence against the null hypothesis?

A. Using a large level of significance.
B. Using a small level of significance.
C. Obtaining data with a small P -value.
D. Obtaining data with a large P -value.

(c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often

A. 0.05
B. a statement that the data are all 0.
C. the probability of observing the data you actually obtained
D. a statement of ''no effect'' or ''no difference''.

Homework Answers

Answer #1

ANSWER::

Option:: (c) is correct...........

Option:: (c) is correct...........

Option:: (d) is correct...........

NOTE:: I hope your happy with my answer......**Please suppport me with your rating

**Please give me"LIKE".....Its very important for me......THANK YOU

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
For each problem, select the best response. (a) In formulating hypotheses for a statistical test of...
For each problem, select the best response. (a) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. a statement that the data are all 0. B. a statement of ''no effect'' or ''no difference''. C. the probability of observing the data you actually obtained D. 0.05 (b) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Obtaining data with a large P -value. B. Using a small...
1. The P-value of a test of the null hypothesis is a. the probability the null...
1. The P-value of a test of the null hypothesis is a. the probability the null hypothesis is true. b. the probability the null hypothesis is false. c. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. d. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. 2. The P-value...
If =P0.13 , which of the following is the best conclusion? The probability that H0 is...
If =P0.13 , which of the following is the best conclusion? The probability that H0 is false is 0.13 . If H0 is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.13 . If H0 is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.13 . The probability that H0 is true is 0.13 .
1. Assumptions underlying the use of t-statistic in sample-based estimation are that the population is normally...
1. Assumptions underlying the use of t-statistic in sample-based estimation are that the population is normally distributed and population standard deviation is unknown. A. True B. False 2. The null hypothesis is rejected if the p-value (i.e., the probability of getting a test statistic at least as extreme as the observed value) is greater than the significance level. A. True B. False 3. When using the p-value to test hypotheses, the null hypothesis would be rejected if __________. A. the...
Match each term with the phrase that best fits. (Not all phrases will be used, only...
Match each term with the phrase that best fits. (Not all phrases will be used, only one phrase per term) Confidence interval Hypothesis test Margin of error Standard error Null hypothesis Test Statistic P-value Critical value A measure of the variability of a statistic. States that the parameter of interest is equal to a given value. Quantifies the difference between the observed data and what would be expected if the null hypothesis were true. Describes how much a statistic is...
16.) If p-value is 0.07 and α = 0.01 would you a) fail to reject the...
16.) If p-value is 0.07 and α = 0.01 would you a) fail to reject the null hypothesis b) reject the null hypothesis 18.) The dean of CCP wants to determine whether the mean starting salary of graduates of the is greater than $40000. She will perform the test with the following hypotheses: H 0 μ = 40000 H 1 μ > 40000 Suppose that the true mean is $50000 and the dean rejects the null hypothesis. Is this a)...
Assuming that the null hypothesis is true, a p-value is the probability of observing a sample...
Assuming that the null hypothesis is true, a p-value is the probability of observing a sample value as extreme as, or more extreme than, the observed sample observation. True or False
Which of the following is NOT an interpretation for the p -value? It is the probability...
Which of the following is NOT an interpretation for the p -value? It is the probability that the hypothesis test commits a Type II error. It is the observed significance level. It is the probability that you get a test statistic at least as extreme as the one obtained from your sample. It is the smallest level of significance level that ensures rejection of H0.
People prefer to use the median as an estimator for the population mean because it is...
People prefer to use the median as an estimator for the population mean because it is more efficient than the sample mean. True or False The p-value of a test is the probability of obtaining the test statistic or a value more extreme if the null hypothesis is true, and it is NOT the same as the level of significance of an hypothesis test. True or False
Determine whether the BEST, most common interpretation of the given statement is:      TRUE - Select...
Determine whether the BEST, most common interpretation of the given statement is:      TRUE - Select 1      FALSE - Select 2 Question 1 options: 1 Type II error is the probability of failing to reject H0 when it is false. 2 In hypothesis testing, the ALTERNATIVE hypothesis states how the parameter of interest differs from the null hypothesis value. 3 The p-value is determined by the ALTERNATIVE hypothesis. 4 The p-value is the probability the null hypothesis is true....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT