1. What is Power?
2. What is type II error?
3. Explain dependent and independent variable
4. What is the appropriate statistical test for nominal variable?
5. What is the appropriate statistical test for continuous variable?

In a study that compared two different medications for the treatment of allergic rhinitis, each patient was asked to rank his or her severity of symptoms on a scale of 0 to 4 (0= none, 1= mild, 2 = moderate, 3= moderately severe, and 4 = severe) 2 hours after the medication was given

1. What type of data will be obtained from this measurement?

1. Which one of the following is appropriate method of central tendency and dispersion for the data that will be obtained above?
2. Mean and standard deviation
3. Median and interquartile range
4. Median and standard deviation
5. Median, no measure of dispersion is acceptable

1. Examine the data set of eight students with the following grades on a possible 100-point examination: 85, 79, 30, 94, 97, 35, 87, and 88. Which one of the following measures of central tendency is least affected by outliers?
2. Median
3. Mean
4. Standard deviation
5. Standard error to the mean

1. A sample of 6 body weights (in pounds) as follows: 116, 168, 124, 132, 110, and 120. The sample median is:

1. A study of 40 patients was performed to examine the association of weight and serum drug levels of a new antibiotic. Linear regression was used to assess the association. The slope of the regression line (slope = 30) was significantly greater than 0, indicating the serum drug level increases as weight increases. The r² value was calculated as 0.75(r=0.86). Which statement provides the most accurate interpretation of these data?
2. Seventy-five percent of the variance in serum levels is likely to be examined by its relationship with weight
3. Twenty-five percent of the variance in serum levels is likely to be explained by its relationship with weight
4. Thirty percent to the variance in serum levels is likely to be explained by its relationship with weight
5. Seventy percent of the variance in serum levels is likely to be explained by its relationship with weight.