Question

R2.30: In hypothesis testing, the Null hypothesis is: A. Influencing the level of significance for the...

R2.30: In hypothesis testing, the Null hypothesis is:

A. Influencing the level of significance for the test

B. Accepted when the test statistic falls within the rejection region

C. Used to calculate the test statistic

D. An assumption that is claimed to be true

Homework Answers

Answer #1

Ans. The correct option is (D), i.e., An assumption that is claimed to be true.

The null hypothesis is denoted by H0 is a statement that the value of a population parameter (such as proportion, mean, or standard deviation) is equal to some claimed value. (The term null is used to indicate no change or no effect or no difference.) We test the null hypothesis H0 directly in the sense that we assume (or pretend) it is true and reach a conclusion to either reject it or fail to reject it.

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
1. In testing a null hypothesis H0 versus an alternative Ha, H0 is ALWAYS rejected if...
1. In testing a null hypothesis H0 versus an alternative Ha, H0 is ALWAYS rejected if A. at least one sample observation falls in the non-rejection region. B. the test statistic value is less than the critical value. C. p-value ≥ α where α is the level of significance. 1 D. p-value < α where α is the level of significance. 2. In testing a null hypothesis H0 : µ = 0 vs H0 : µ > 0, suppose Z...
In a hypothesis testing problem, the observed level of significance is: A) the probability of not...
In a hypothesis testing problem, the observed level of significance is: A) the probability of not rejecting the null hypothesis when it is false B) the confidence level of the associated interval estimation problem C) one minus the confidence level of the associated interval estimation problem D) the probability of rejecting the null hypothesis when it is true E) the probability, calculated under the null hypothesis of obtaining a random sample of the same size containing even stringer evidence against...
In hypothesis testing, what is the level of significance? SELECT ALL CORRECT OPTIONS OPTION A A...
In hypothesis testing, what is the level of significance? SELECT ALL CORRECT OPTIONS OPTION A A value between 0 and 1. OPTION B The risk of rejecting the null hypothesis when it is true. OPTION C It is selected before a decision rule can be formulated. OPTION D All apply.
In a hypothesis test, the test statistic was calculated to be 2.76. The rejection region is...
In a hypothesis test, the test statistic was calculated to be 2.76. The rejection region is -2.33 < z < 2.33. Which statement is true? The null hypothesis is accepted to be true The null hypothesis is rejected since the test statistic is outside the rejection region. The null hypothesis is not rejected since the test statistic is outside the rejection region. The null hypothesis is rejected since the test statistic proves it to be false
1. A null hypothesis states that there is A. No significant difference between a population parameter...
1. A null hypothesis states that there is A. No significant difference between a population parameter and sample statistic. B. A significant difference between a population parameter and sample statistic. C. The difference between the population parameter and sample statistic is significant and can be attributed to sampling error. D. The difference between the population parameter and sample statistic is insignificant and cannot be attributed to sampling error. E. None of the above 2. An alternative hypothesis states that there...
The primary purpose of hypothesis testing is to attempt to reject the null hypothesis not to...
The primary purpose of hypothesis testing is to attempt to reject the null hypothesis not to accept the alternative hypothesis. True False In hypothesis testing, a Type 1 error is failing to reject the null hypothesis when it is true. failing to reject the null hypothesis when it is false. rejecting the null hypothesis when it is true. rejecting the null hypothesis when it is false. In general, the power of a statistical test is the probability that a test...
16. a. When testing the significance of the regression coefficient, what is the null hypothesis? b....
16. a. When testing the significance of the regression coefficient, what is the null hypothesis? b. When testing the significance of the regression coefficient, what is the alternative hypothesis?
What is the interpretation of the data at .01 level of significance for the null hypothesis?...
What is the interpretation of the data at .01 level of significance for the null hypothesis? Assume a one-tailed negative directional test. Group 1 Group 2 Phoenix Males Chicago Males 4.00 5.00 5.00 5.00 6.00 6.00 6.00 5.00 5.00 7.00 6.00 8.00 a. t(10) = 1.10, p < .10, the obtained value does not exceed the critical value, so the null hypothesis must be accepted and it must be concluded that the difference is due to chance. b. t(10) =...
In hypothesis testing, which statement is true? A. if we reject the alternate hypothesis we will...
In hypothesis testing, which statement is true? A. if we reject the alternate hypothesis we will have proof of the null hypothesis. B. the null hypothesis will not be rejected unless the probability of observing the data provide convincing evidence that it is true. C. the null hypothesis will not be rejected unless the probability in the critical region is large. D. the null hypothesis will not be rejected unless the test statistic is larger (absolutely) than the critical value.
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...