Question

1. True or False? If we would reject a null hypothesis at the 5% level, we...

 1. True or False? If we would reject a null hypothesis at the 5% level, we would also reject it at the 1% level.

2. True or False? Other things being equal, a small level of significance is desirable

Homework Answers

Answer #1

Solution(1)
This statement is false that if we would reject a null hypothesis at the 5% level, we would also reject it at the 1% level.
If p-value is less than alpha value than we can reject the null hypothesis. At alpha = 0.05, we can reject the null hypothesis that means p-value is less than 0.05, but that doesn't mean that p-value is less than 0.01, so we can say that this statement is false.

Solution(2)
This statement is true that the other tings being equal, a small level of significance is desirable. Level of significance is the probability of type I error. we would always like to have it small.

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
True or False: For all hypothesis tests, a small p-value means we will reject the null....
True or False: For all hypothesis tests, a small p-value means we will reject the null. True or False: If you are testing the means of two groups, then you would use ANOVA. True or False: A two-sample confidence interval must capture zero to show the groups are different. True or False: The test statistic for ANOVA is the f-statistic. True or False: For Chi-Square tests, if the observed counts and expected counts are extremely different, then we would have...
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.
True or False? A) You do a hypothesis test on 2 means, if you reject H0...
True or False? A) You do a hypothesis test on 2 means, if you reject H0 at the significance level of 10%, then you will reject H0 at the significance level of 5%. T or F? B) If the variances of 2 normal populations are unknown but assumed to be unequal, the appropriate statistic to compare the 2 means is the t of student (we assume here a small sample) . T or F? C) If the variances of 2...
1. p-value is the smallest area under the curve in which we would reject the null...
1. p-value is the smallest area under the curve in which we would reject the null hypothesis. True or false. 2. For a one tail test, we divide the level of significance (alpha) by 2 to calculate the critical value. True or false. 3. A p-value can be calculated by the area under the curve to the left of Z when Z is less than the mean. True or false. 4. A respondent to a survey indicates that she drives...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result. 2. If alpha is greater than the p-value, then we reject the null hypothesis. 3. The p-value is strictly the probability the null hypothesis being true. 4. Hypothesis tests are accessing the evidence provided by the data and deciding between two competing hypotheses about the population parameter....
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...
Question 5     When you reject the null hypothesis for the relationship between age and opinions...
Question 5     When you reject the null hypothesis for the relationship between age and opinions on abortion, you are saying: There is a relationship between age and opinions on abortion in the population. There is not a relationship between age and opinions on abortion in the population. You are saying nothing about the population. You are saying that the measure of association between age and opinions on abortion in the population is 0. Question 6 If your Phi measure...
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...
Indicate whether the following statement is true or false. If we do not reject the null...
Indicate whether the following statement is true or false. If we do not reject the null hypothesis, it is possible we have made both type I and type II errors. In an upper tail hypothesis test for the mean, the critical value is 2.575 and the test statistic is 2.5. In this case, the null hypothesis should not be rejected. The calculated p-value should be divided by 2 to make the decision for a two tail test. The sampling error...