# This week’s assignment questions are extracted from your Warner

Sample A: X = [103, 156, 200, 300, 98].Sample B: X = [103, 103, 103, 103, 103, 103].Sample C: X = [101, 102, 103, 102, 101].Assume that a population of thousands of people whose responses were used to develop an anxiety test had scores that were normally distributed with = 30 and s = 10.

What proportion of people in this population would have anxiety scores within each of the following ranges of scores?      Below 20.Above 30.Between 10 and 50.What is SEM?

What does the value of SEM tell you about the typical magnitude of sampling error?

As s increases, how does the size of SEM change (assuming that N stays the same)?

As N increases, how does the size of SEM change (assuming that s stays the same)?

Under what circumstances should a distribution be used rather than the normal distribution to look up areas or probabilities associated with distances from the mean?

To complete questions 9 and 10, use the bpstudy.sav file in the Resources.Select three variables from the dataset bpstudy.sav.

Two of the variables should be good candidates for a correlation, and the other variable should be a poor candidate for a correlation. Good candidates are variables that meet the assumptions (such as normally distributed, reliably measured, interval-ratio level of measurement). Poor candidates are variables that do not meet assumptions or that have clear problems (such as restricted range, extreme outliers, gross non-normality of distribution shape).

Use the FREQUENCIES procedure to obtain a histogram and all univariate descriptive statistics for each of the three variables.

Create a scatter plot for the two “good candidate” variables.

Create a scatter plot for the “poor candidate” variable using one of the two good variables. Properly embed SPSS output where appropriate in your answer to Question 9 below. Explain which variables are good and poor candidates for a correlation analysis and give your rationale. Comment on empirical results from your data screening—both the histograms and scatter plots—as evidence that these variables meet or do not meet the basic assumptions necessary for correlation to be meaningful and honest. What other information would you want to have about the variables in order to make better informed judgments?

Is there anything that could be done (in terms of data transformations or eliminating outliers for instance) to make your poor candidate variable better?

If so, what would you recommend?

## ")96% of our customers have reported a 90% and above score. You might want to place an order with us."

##### Affordable prices

You might be focused on looking for a cheap essay writing service instead of searching for the perfect combination of quality and affordable rates. You need to be aware that a cheap essay does not mean a good essay, as qualified authors estimate their knowledge realistically. At the same time, it is all about balance. We are proud to offer rates among the best on the market and believe every student must have access to effective writing assistance for a cost that he or she finds affordable.