Reference no: EM133490113

Questions:

1. Explain sampling error and sampling distribution of means. Include an explanation of why the shape of the sampling distribution of means is going to be narrower when sample sizes are large than when sample sizes are small.

2. Explain the formula for calculating standard error. (You do not need to memorize this formula.)

3. Distinguish between sample statistics and population parameters.

4. Provide examples not provided in your text of real-life variables which are:

a. likely to be positively skewed

b. likely to be negatively skewed

c. likely to be normally distributed

5. What is kurtosis? Distinguish between platykurtic and leptokurtic distributions. (You are not required to calculate skew or kurtosis by hand.)

6. What problem arises if we want to do a parametric significance test but we have a distribution that is extremely skewed?

7. Reflect on the implications of a psychology that is focused on the normal distribution. What are some problems that can arise from such a focus? (You will not find "the answer" in the chapter.)

8. What are the three general cautions about graphs presented at the beginning of Chapter 14?

9. What does a bar chart look like? If you're doing a study about student experience at university, when might a bar chart be useful? (provide an example)

10. What does a line chart look like? If you're doing a study about student experience at university, when might a line chart be useful? (provide an example)

11. What does a histogram look like? If you're doing a study about student experience at university, when might a histogram be useful? (provide an example)