A health researcher is interested in studying the work lives of physicians employed by health maintenance organizations (HMOs).  Suppose that the following data depict the daily patient load (i.e., number of patients seen per day) of seven HMO physicians:  8, 7, 11, 4, 5, 13, 7   a. Compute mean, median, and mode for patient loads for the seven doctors.   b. Compute the range of patients seen per day.   c. Compute the standard deviation.

7. This practice problem uses the data contained in the file named Chapter 3 Data Set 1 in Appendix C. There are two variables in this data set. Variable Height Weight Definition Height in inches Weight in pounds Using Excel, compute the standard deviation and variance (both biased and unbiased) for height and weight. Chapter 3 Data Set 1, Appendix C Height Weight 53 156 46 131 54 123 44 142 56 156 76 171 87 143 65 135 45 138 44 114 57 154 68 166 Height 65 66 54 66 51 58 49 48 Weight 153 140 143 156 173 143 161 131

The figure shows population density (people per square mile) for all states of a certain country. The states are divided into four geographical regions: A, B, C, and D. Answer the questions below. D- 0 100 200 300 400 500 600 700 800 900 1000 1100 People per Square Mile Why is it best to compare medians and interquartile ranges for these data, rather than comparing means and standard deviations? OA. These data are fairly symmetric and do not have outliers, and the median and interquartile range provide more reliable information in these circumstances. B. Some of these data have outliers and/or are skewed, and the median and interquartile range amplify the effects of outliers and skewness. OC. Some of these data have outliers and/or are skewed, and the median and interquartile range are resistant to outliers. OD. Some of these data have vastly different centers, and the median and interquartile range provide more reliable information in these circumstances. List the approximate median…

Each of the following data sets has a mean of 40. 1. {38, 43, 47, 27, and 45} II. {41, 40, 39, 42, and 38} III. {59, 41, 53, 17, and 30} Estimate their standard deviations and list them from smallest to largest according to standard deviation size. O III, I, II O I, III, II O II, I, III O I, II, III

Varatta Enterprises sells industrial plumbing valves. The following table lists the annual sales amounts for a portion of the salespeople in the organization for the most recent fiscal year. a. Compute the mean (in $1000), variance (in $10002), and standard deviation (in $1000) for these annual sales values. Round your answers to the nearest whole number. b. In the previous fiscal year, the average annual sales amount was 290 thousand with a standard deviation of 95 thousand. Discuss any differences you observe between the annual sales amount in the most recent and previous fiscal years. Which of the following is correct? (i) The difference in the mean annual sales amount is very small and is most likely due to random change in demand for these products. (ii) The sample mean annual sales amount and standard deviation for the previous fiscal year were significantly higher. (iii) The sample mean annual sales amount and standard deviation for the previous fiscal year were significantly…

The systolic blood pressure of individuals is thought to be related to both age and weight. For a random sample of 11 men, the following data were obtained. Systolic Blood pressue X1 Age (years) X2 Weight (pounds) Xз 132 52 173 143 59 184 153 67 194 162 73 211 154 64 196 168 74 220 137 54 188 149 61 188 159 65 207 128 46 167 166 72 217 (a) Generate summary statistics, including the mean and standard deviation of each variable. Compute the coefficient of variation for each variable. (Use 2 decimal places.) х CV X1 X2 Хз