Conduct a kruskal-wallace test

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Reference no: EM133989919

QUESTION 1

You conduct an experiment to see if using a new course format has an impact on learner performance. One group of learners took the course in the old format and another took it in the new format and then their grades were compared. What type of t-test should be used for this analysis?

Paired samples t-testIndependent samples t-testOne sample t-testNone of these tests would be suitable

QUESTION 2

The null hypothesis for this study would be that course format has no impact on learner performance. The alternate hypothesis is that learners in the new course format will have higher performance than those in the old format. If your analysis results are t(49) = 3.61, p = .06 and the mean of the learners in the new course format was 94 and the mean of the learners in the old class format was 87, what would your conclusion be?

Accept the null hypothesis. There were no significant differences detected between the two groups. Accept the alternate hypothesis. There were significant differences between the two groups. There is not enough information provided to make a conclusion.

QUESTION 3

The university is interested in seeing how much knowledge of statistics is gained in an introductory course. They collect data with a survey of general statistical knowledge before and after the class. What type of t-test should be used to see the impact of the class on learner knowledge?

Paired samples t-testIndependent samples t-testOne sample t-testNone of these tests would be suitable

QUESTION 4

If you conduct a single sample t-test for a group of 50 learners how many degrees of freedom will you have?

QUESTION 5

Levene's test is use to test the assumption that both groups have roughly equal variances on the dependent variable (grades). If the result of Levene's test is significant (F = 36.54, p = .043) what should you do?

Conduct a Kruskal-Wallace test. Interpret the data in the row labeled "Equal variances assumed. "Interpret the data in the row labeled "Equal variances not assumed. "Run post-hoc tests.

Reference no: EM133989919

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