Textbook: essentials of statistics for the behavioral sciences.

Q.2. Use 3 - 4 sentences for a), b), c) and d), respectively, to explain how the following factors would change the statistical power of a study, when other factors are held constant.

a) Sample Size

b) Effect Size

c) Type 1 error

d) Sample standard deviation

Q.3. What are the differences between the biased and unbiased formulae for calculating the standard deviation? Use 3 - 4 sentences to explain why researchers must use the unbiased formula when they only have a random sample of scores from the corresponding population.

Q.4. What is the relationship between sample standard deviation of scores and the standard error of sample means? Use 4 - 5 sentences to explain

Q.5. For the related-samples t test, use 4- 5 sentences to explain why this approach has controlled for the influence of individual differences in a research study

Q.6. For a research design involving three levels or groups of an independent variable, use 4 - 5 sentences to explain why researchers should conduct an ANOVA instead of 3 separate independent-samples t test.

Q.7. If two continuous variables appear to be linearly related, what type of correlations should researchers use and report? Can researchers conduct a hypothesis testing that evaluates the significance of that correlation?

Q.8. What is the meaning of the y-intercept (a) and slope (b) in a linear regression model? For a regression model involving only one predictor (or independent variable), would the p value associated with the F ratio that tests the significance of the overall regression model is the same or different from the p value associated with the significance of the regression slope? Use 2 - 3 sentences to explain why they are the same or different.