Consider a data set consisting of 43 different numbers. If the smallest data value is decreased by one unit, then the sample mean will decrease and the sample median will decrease. If the smallest data value is decreased by one unit, then the sample mean will decrease and the sample median will stay the same. If the smallest data value is decreased by one unit, then the sample mean will stay the same and the sample median will decrease. If the smallest data value is decreased by one unit, then the sample mean will stay the same and the sample median will stay the same.

If most of the scores in a large data set are about close together except for a few scores that are quite a bit higher, how would the mean and median of the data set compare and what shape would a histogram of the data set have? The mean would be smaller than the median and the histogram would be skewed with a long tail towards higher scores. The mean would be larger than the median and the histogram would be skewed with a long tail towards lower scores. The mean would be smaller than the median and the histogram would be skewed with a long tail towards lower scores. The mean would be larger than the median and the histogram would be skewed with a long tail towards higher scores. The mean would be equal to the median and the histogram would be symmetrical. None of the answers listed.

Suppose you are conducting a study about how the average US worker spends time over the course of a workday. You are interested in how much time workers spend per day on personal calls, emails, and social networking websites, as well as how much time they spend socializing with coworkers versus actually working. The most recent census provides data for the entire population of US workers on variables such as travel time to work, time spent at work, and break time at work. The census, however, does not include data on the variables you are interested in, so you obtain a random sample of 83 full-time workers in the United States and ask about personal calls, emails, and so forth. You are curious about how your sample compares with the census, so you also ask the workers the same questions about work that are asked in the census. Suppose the mean time spent at work per day from the most recent census is 8.32 hours, with a standard deviation of 0.91 hours. Your sample of 83 US workers…

In IBM SPSS, what does clicking on this icon do?

if a study determines the difference in average salary for subpopulations of people with blue eyes and people with brown eyes is not significant then the populations are blue-eyed people and brown-eyed people are what different salaries

The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray Ultrasound 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 8.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 13.50 9.25 11.00 12.00 14.00 17.00 18.00 4.25 4.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 14.50 9.50 12.00 12.25 15.50 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use μ = MX-ray-Multrasound. Round your answers to three decimal places.) × % Interpret the interval in context. O There is a 95% chance that the true mean body fat percentage…