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A researcher conducts an independent-measures study comparing two treatments and reports the t statistics as t(25)= 2.071.
How many individuals participated in the entire study?
use a two tailed test with o=.05 and the distributions tool below to determine if there is significant difference between the two treatments.
* Reject the null hypothesis; there is no significant difference
* Fail to reject the null hypotheses; there is no significant difference.
* Reject the null hypothesis, there is a significant difference
* Fail to reject the null hypothesis; there is a significant difference.
Compute r2 to measure the percentage of variance accounted for by the treatment effect.
The number of individuals participated in the entire study = 27
t-critical= +/- 2.060
Reject the null hypothesis, there is a significant difference
r2 = 14.6%
Here, the degrees of freedom of the test is given to be 25.
For an ...
The solution explains the determination of sample size, critical value and percentage of variance accounted for by the treatment effect for a independent sample t test.
Hypothesis Testing, Statistical Inference, and Regression Analysis
1, Explain the difference between the null and alternative hypothesis. Which one can be proven in a statistical sense?
2. What are the differences between one- and two- sample hypothesis tests? Describe the correct mathematical form for specifying the null and alternative hypotheses for both types of tests.
3. Explain Type I and Type II errors. Which one is controllable by the experimenter?
4. What is the difference between paired and independent samples?
5. Provide some practical examples from FINANCIAL SALES where regression models might be used.
6. Explain the difference between simple and multiple linear regression.
7. What do we mean by "significance of regression?"