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PRACTICE PROBLEMS FOR SECTION 2.5

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1 The data given below gives the viscosity of paper pulp measured over a period of 30 days:117.9117.7121.9116.8118.9121.2119.0117.5120.1122.6120.1124.1120.1118.4117.2121.7122.2122.0121.2120.4119.8121.6118.1119.3121.1119.6117.9119.4120.8122.1Determine the mean, median, and mode for these data.Determine the standard deviation for this sample data set.Use the results of part (a) to comment on the shape of the data.

2 Use the values of the mean () and the standard deviation () found in Problem 1 to determine the number of data points that fall in the intervals , , and . Assuming that the distribution of this data set is bell‐shaped, use the empirical rule to find the number of data points that you would expect to fall in these intervals. Compare the two results and comment.

3 Reconsider the data in Problem 4 of Section 2.3, reproduced below:253026262516212221271524192024163028242315152128181521272628171924262717271922271625163018Determine the mean and median for these data.Determine the standard deviation for these data.Determine what percentage of the data fall within 2.5 standard deviations of the mean.

4 Reconsider the data in Problem 5 of Section 2.3, reproduced here:148167171177175165134177168142126166130122157138163129143145141162147141164137149146132157Determine the mean and median for these data.Determine the range, variance, and the standard deviation for these sample data.Determine what percentage of the data fall within two standard deviations of the mean.

5 Reconsider the data in Problem 6 of Section 2.3, reproduced here:105101120116108112118119107100107120113113101102102100101100118106114100104101107113110100109108100104110113118100119120Determine the mean, median, and mode for these data.Determine the range, variance, and the standard deviation, for these data.

6 Use the values of the mean () and the standard deviation () found in part (a) of Problem 5 above to determine the number of data points that fall in the intervals, , , and . Assuming that the distribution of this data set is bell‐shaped, use the empirical rule to find the number of data points that you would expect to fall in these intervals. Compare the two results and comment.

7 John is a very hard‐working and an ambitious student. In a certain semester, he took in fact six courses that had 5, 4, 4, 3, 3, and 2 credit hours. The grade points he earned in these courses at the end of the semester were 3.7, 4.0, 3.3, 4.0, 3.7, and 4.0, respectively. Find his GPA for that semester.

8 The following data shows the tread depth in millimeters (mm) of 20 of tires selected randomly from a large shipment received by a dealer:6.287.066.506.766.826.926.867.156.576.486.646.946.497.147.167.107.086.486.406.54Find the mean and the median for these data.Find the variance and standard deviation for these data.If the desired tread depth on these tires is 7 mm, what you can say about the quality of these tires?

9 The average salary of engineers in a manufacturing company is $55,600 with a standard deviation of $4500. Assuming that the shape of the distribution of salaries is bell‐shaped, estimate the ranges of salaries within which approximately 68% and 95% of all the engineers' salaries are expected to fall.

10 According to Chebyshev's inequality, what we can say about the lower limit of the percentage of any set of data values that must lie within k standard deviations of the mean when (a) , (b) , (c) , (d) ?

11 Consider the following data giving the lengths (to the nearest centimeter) of a part used in the fuselage of a plane:2422232522212324202222242123232022242325Determine the mean () and the standard deviation () of these data.Calculate the intervals , , and .Determine the percentage of parts whose length lie within two and three standard deviations of the mean. Use these percentages to verify if the Chebyshev's inequality is valid.

Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

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