Chapter 4: Problem 15
In what sense is the variance (a) a type of mean? (b) not a readily understood measure of variability? (c) a stepping stone to the standard deviation?
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Chapter 4: Problem 15
In what sense is the variance (a) a type of mean? (b) not a readily understood measure of variability? (c) a stepping stone to the standard deviation?
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Employees of Corporation A earn annual salaries described by a mean of \(\$ 90,000\) and a standard deviation of \(\$ 10,000\). (a) The majority of all salaries fall between what two values? (b) A small minority of all salaries are less than what value? (c) A small minority of all salaries are more than what value? (d) Answer parts (a), (b), and (c) for Corporation B's employees, who earn annual salaries described by a mean of \(\$ 90,000\) and a standard deviation of \(\$ 2,000\).
(a) While in office, a former governor of California proposed that all state employees receive the same pay raise of \(\$ 70\) per month. What effect, if any, would this raise have had on the mean and the standard deviation for the distribution of monthly wages in existence before the proposed raise? Hint: Imagine the effect of adding \(\$ 70\) to the monthly wages of each state employee on the mean and on the standard deviation (or on a more easily visualized measure of variability, such as the range). (b) Other California officials suggested that all state employees receive a pay raise of 5 percent. What effect, if any, would this raise have had on the mean and the standard deviation for the distribution of monthly wages in existence before the proposed raise? Hint: Imagine the effect of multiplying the monthly wages of each state employee by 5 percent on the mean and on the standard deviation or on the range.
Specify an important difference between the standard deviation and the mean.
Determine the values of the range and the IQR for the following sets of data. (a) Retirement ages: 60,63,45,63,65,70,55,63,60,65,63 (b) Residence changes: 1,3,4,1,0,2,5,8,0,2,3,4,7,11,0,2,3,4
Using the computation formula for the sum of squares, calculate the population standard deviation for the scores in (a) and the sample standard deviation for the scores in (b). (a) 1,3,7,2,0,4,7,3 (b) 10,8,5,0,1,1,7,9,2
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