Question

**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.

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.

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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 be larger than
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True
False

1. Which of the following statements are true of One-way
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a. It is a robust test (with sufficiently large samples and
relatively equal groups) even when the sample data are
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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 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 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 be larger than the
selected level of significance.

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 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.

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(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: 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...

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