Suppose we wished to compare 5 group means. We could perform an ANOVA, or we could...
Suppose we wished to compare 5 group means. We could perform an ANOVA, or we could perform several two-sample t tests. If we were to do the latter, how many different t tests would we have to perform?
Homework Answers
Here, Comaprison of more than 2 groups i.e 5 groups.
We could perform Anaysis of Variance (ANOVA).
We have to perform 5 t tests in ANOVA
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Suppose we wished to compare 5 group means. We could perform an
ANOVA, or we could...
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Although t-tests can also be used to compare means, they are limited to comparing two at a time. ...
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Question 17 9 pts Consider a situation where we want to compare means, Mi and M2...
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Consider a situation where we want to compare means, M1 and 42 of two populations, Group 1 and Group 2, respectively. A random sample of 40 observations was selected from each of the two populations. The following table shows the two-sample t test results at a = 5% assuming equal population variances: t-Test: Two-Sample Assuming Equal Variances Group 2 28652 33.460 40 Mean Variance Observations Pooled Variance Hypothesized Mean Difference d t Stat PTcut) one-tail Critical one-tail PTC-t) two-tail Critical...
Homework8 Name and types DUE: April ANOVA theory 17, 2019 1) Why can we not do a series of t-tests when comparing more than two groups? 2) For an ANOVA, in English, what is the null hypothesis? The alternative? What would it mean to reject the null? How is this different than when we reject the null in a t test? 3) If I told you I ran a three-way MANCOVA, what could you tell me about my design and...
Although t-tests can also be used to compare means, they are limited to comparing two at a time. Using multiple t-tests to compare experimental error, ultimately hindering the results. ANOVA provides a way to simultaneously compare multiple means, without the elevated experimental error. more than two means from the same set of data is possible, but it creates an increased risk of Comparing Multiple Groups For this discussion, begin by creating an example of a research situation that would involve...
Question 17 9 pts Consider a situation where we want to compare means, Mi and M2 of two populations, Group 1 and Group 2, respectively. A random sample of 40 observations was selected from each of the two populations. The following table shows the two-sample t test results at a = 5% assuming equal population variances: t-Test: Two-Sample Assuming Equal Variances Group 2 28.652 33.460 40 Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P(T<=t) one-tail t...
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