Question

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 a large p-value.

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

Please don't hesitate to give a "thumbs up" for the answer in case the answer has helped you

1. False - The p-value should be smaller than alpha to reject the null , if p-value is small but more than alpha then we fail to reject the null

2. False - You could also use t-test for means comparison

3. False - If zero exists within the confidence interval then the groups are NOT different

4. True - ANOVA has the F-test, which has the F-statistic

5. False - It is actually the opposite, if the observed and expected counts are extremel different, then the p-value will be small.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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
“Assuming the null hypothesis is true, the expected value of every test statistic we have seen...
“Assuming the null hypothesis is true, the expected value of every test statistic we have seen this semester, whether it is a z, t, or chi-square test statistic, is 0.” One of your friends says the above statement. Respond to this statement. In your response, include, 1) For z tests about population proportions: what is the distribution and the corresponding expected value of a z test statistic under the null. 2) For t tests about population means: what is the...
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...
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...
Which of the following statements is true if when using null hypothesis testing, our p value...
Which of the following statements is true if when using null hypothesis testing, our p value (in the “sig” column of SPSS output) is 0.063? Fail to reject the null hypothesis Reject the null hypothesis Cannot determine with the information provided What graph type is most appropriate for a Chi Square Test of Independence? line chart box plot bar graph (# cases or count with no error bars) clustered bar graph (# cases or count with no error bars) Which...
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...
1) The larger the chi-square statistic, the weaker the evidence against the null hypothesis. True or...
1) The larger the chi-square statistic, the weaker the evidence against the null hypothesis. True or False 2) The more similar the conditional distributions in a two-way table are, the larger the P-value of the chi-square test becomes. True or False
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....
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...
The one-sample runs test uses a test statistic that is normally distributed, as long as the...
The one-sample runs test uses a test statistic that is normally distributed, as long as the number of runs of each type is large enough. Parametric tests generally are more powerful than nonparametric tests when normality can be assumed. Rejection of a hypothesis using a nonparametric test is less convincing than using an equivalent parametric test, since nonparametric tests generally make fewer assumptions. In a hypothesis test using chi-square, if the null hypothesis is true, the sample value of the...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT