Question

True or False When using Levene's test for ANOVA, the p-value should not indicate statistical significance...

True or False

When using Levene's test for ANOVA, the p-value should not indicate statistical significance (e.g. p<.05) because the null hypothesis states that the variance of the dependent variable is the same across comparison groups.

Homework Answers

Answer #1

The p-value does indicate statistical significance in case of Levene's test for ANOVA. If p-value < 0.05 (level of significance) then the obtained differences in sample variances are unlikely to have occurred based on SRS from a population with equal variances. If p-value > 0.05, then we will fail to reject the null hypothesis and conclude that the variances are equal.

Let me know in the comments if anything is not clear. I will reply ASAP! Please do upvote if satisfied!

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
In a test of statistical significance, what does the p-value tell us? A. if the null...
In a test of statistical significance, what does the p-value tell us? A. if the null hypythesis is true B. if the alternative hypothesis is true C. the largest level of significance at which the null hypothesis can be rejected D. the smallest level of significance at which the null hypothesis can be rejected. Please explain exactly what the p-value is as I'm having trouble understanding it. thanks
Indicate whether the following statement is true or false. In hypothesis testing, the p-value should always...
Indicate whether the following statement is true or false. In hypothesis testing, the p-value should always be larger than the selected level of significance. True False
1. Which of the following statements are true of One-way ANOVA test? a. It is a...
1. Which of the following statements are true of One-way ANOVA test? a. It is a robust test (with sufficiently large samples and relatively equal groups) even when the sample data are statistically significantly different from normal distribution. b. All of the other statements are correct. c. It involves a dependent variable measured on a continuous scale. d. It involves an independent variable measured on a categorical scale with 2+ groups/categories. e.It compares the mean/average scores of the 2+ groups...
A statistical test is performed and it results in a p-value = 0.007. Using a significance...
A statistical test is performed and it results in a p-value = 0.007. Using a significance level of α = 0.001, what is your final decision and conclusion? A Reject the null hypothesis. We do not have evidence in favor of the alternative. B Reject the null hypothesis. We have evidence in favor of the alternative. C Fail to reject the null hypothesis. We do not have evidence in favor of the alternative. D Fail to reject the null hypothesis....
Indicate whether the following statement is true or false. In hypothesis testing, the p-value should always...
Indicate whether the following statement is true or false. In hypothesis testing, the p-value should always be larger than the selected level of significance.
Indicate whether the following statement is true or false. In hypothesis testing, the p-value should always...
Indicate whether the following statement is true or false. In hypothesis testing, the p-value should always be larger than the selected level of significance.
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.
Indicate whether the following statements are true or false. (a) A p value is the probability...
Indicate whether the following statements are true or false. (a) A p value is the probability that the null hypothesis is true. (b) A p value is a measure of discrepancy of the fit of the null hypothesis to the data (c) A p value is the probability of rejecting the null hypothesis when it is true. (d) A p value is the probability of observing data at least as favourable to the alternative hypothesis as our current data set,...
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...