Understandable Statistics: Concepts and Methods
12th Edition
ISBN: 9781337119917
Author: Charles Henry Brase, Corrinne Pellillo Brase
Publisher: Cengage Learning
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Textbook Question
Chapter 3.2, Problem 14P
Basic Computation: Coefficient of Variation, Chebyshev Interval
Consider sample data with
- (a) Compute the coefficient of variation.
- (b) Compute a 75% Chebyshev interval around the sample
mean .
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Chapter 3 Solutions
Understandable Statistics: Concepts and Methods
Ch. 3.1 - Statistical Literacy Consider the mode, median,...Ch. 3.1 - Prob. 2PCh. 3.1 - Prob. 3PCh. 3.1 - Prob. 4PCh. 3.1 - Prob. 5PCh. 3.1 - Basic Computation: Mean, Median, Mode Find the...Ch. 3.1 - Prob. 7PCh. 3.1 - Critical Thinking Consider a data set with at...Ch. 3.1 - Critical Thinking Consider a data set with at...Ch. 3.1 - Prob. 10P
Ch. 3.1 - Critical Thinking When a distribution is...Ch. 3.1 - Critical Thinking Consider the following types of...Ch. 3.1 - Critical Thinking Consider the numbers 2 3 4 5 5...Ch. 3.1 - Prob. 14PCh. 3.1 - Prob. 15PCh. 3.1 - Prob. 16PCh. 3.1 - Prob. 17PCh. 3.1 - Critical Thinking Consider a data set of 15...Ch. 3.1 - Prob. 19PCh. 3.1 - Prob. 20PCh. 3.1 - Prob. 21PCh. 3.1 - Football: Age of Professional Players How old are...Ch. 3.1 - Prob. 23PCh. 3.1 - Prob. 24PCh. 3.1 - Prob. 25PCh. 3.1 - Prob. 26PCh. 3.1 - Prob. 27PCh. 3.1 - Prob. 28PCh. 3.1 - Expand Your Knowledge: Harmonic Mean When data...Ch. 3.1 - Prob. 30PCh. 3.2 - Statistical Literacy Which averagemean, median, or...Ch. 3.2 - Statistical Literacy What is the relationship...Ch. 3.2 - Statistical Literacy When computing the standard...Ch. 3.2 - Prob. 4PCh. 3.2 - Prob. 5PCh. 3.2 - Basic Computation: Range, Standard Deviation...Ch. 3.2 - Critical Thinking For a given data set in which...Ch. 3.2 - Prob. 8PCh. 3.2 - Prob. 9PCh. 3.2 - Prob. 10PCh. 3.2 - Prob. 11PCh. 3.2 - Critical Thinking: Outliers One indicator of an...Ch. 3.2 - Prob. 13PCh. 3.2 - Basic Computation: Coefficient of Variation,...Ch. 3.2 - Prob. 15PCh. 3.2 - Prob. 16PCh. 3.2 - Space Shuttle: Epoxy Kevlar epoxy is a material...Ch. 3.2 - Prob. 18PCh. 3.2 - Prob. 19PCh. 3.2 - Prob. 20PCh. 3.2 - Prob. 21PCh. 3.2 - Prob. 22PCh. 3.2 - Prob. 23PCh. 3.2 - Prob. 24PCh. 3.2 - Prob. 25PCh. 3.2 - Prob. 26PCh. 3.2 - Brain Teaser: Sum of Squares If you like...Ch. 3.2 - Prob. 28PCh. 3.2 - Prob. 29PCh. 3.2 - Prob. 30PCh. 3.3 - Statistical Literacy Angela took a general...Ch. 3.3 - Prob. 2PCh. 3.3 - Prob. 3PCh. 3.3 - Prob. 4PCh. 3.3 - Prob. 5PCh. 3.3 - Basic Computation: Five-Number Summary,...Ch. 3.3 - Health Care: Nurses At Center Hospital there is...Ch. 3.3 - Prob. 8PCh. 3.3 - Prob. 9PCh. 3.3 - Sociology: High School Dropouts What percentage of...Ch. 3.3 - Auto Insurance: Interpret Graphs Consumer Reports...Ch. 3.3 - Prob. 12PCh. 3 - Prob. 1CRPCh. 3 - Critical Thinking Look at the two histograms...Ch. 3 - Critical Thinking Consider the following Minitab...Ch. 3 - Prob. 4CRPCh. 3 - Political Science: Georgia Democrats How...Ch. 3 - Grades: Weighted Average Professor Cramer...Ch. 3 - Prob. 7CRPCh. 3 - Agriculture: Harvest Weight of Maize The following...Ch. 3 - Prob. 9CRPCh. 3 - Agriculture: Bell Peppers The pathogen...Ch. 3 - Performance Rating: Weighted Average A performance...Ch. 3 - Prob. 1DHCh. 3 - Prob. 2DHCh. 3 - Prob. 1UTCh. 3 - Prob. 1CURPCh. 3 - Describe how the presence of possible outliers...Ch. 3 - Prob. 3CURPCh. 3 - Prob. 4CURPCh. 3 - Prob. 5CURPCh. 3 - Prob. 6CURPCh. 3 - Prob. 7CURPCh. 3 - In west Texas, water is extremely important. The...Ch. 3 - Prob. 9CURPCh. 3 - Prob. 10CURPCh. 3 - Prob. 11CURPCh. 3 - In west Texas, water is extremely important. The...Ch. 3 - Prob. 13CURPCh. 3 - Prob. 14CURPCh. 3 - Prob. 15CURPCh. 3 - In west Texas, water is extremely important. The...Ch. 3 - Prob. 17CURP
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- State the null and alternative hypotheses. Use subscripts 1 for patients who live (Status = 0) and 2 (Status 1) for patients who die. :: :: u :: :: p :: P1 : P2 :: p :: x1 :: x2 : P2 :: r .. : P1 Ho: vs Ha: Give the p-value. Enter the exact answer. p-value ::arrow_forwardthe life of two brands of canned tires durability is a feature of interest to the manufacturer. Eight brand 1 tires and six brand 2 tires were tested. Customers prefer tires with high levels of life. The data below shows the life for both brands, in thousands of kilometers. (Image) a) Test the hypothesis of equality of variances for the life of the two tire brands. This is a two-sided (bilateral) test. Use an α = 0.05. b) Test the hypothesis of equality of means for the life of the two tire brands. Use α = 0.05. Which tire brands would you buy, if the price is the same?arrow_forwardA special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage). Statistic Test Group Control Group Mean Damage X¯¯¯1X¯1 = $ 1,153 X¯¯¯2X¯2 = $ 1,751 Sample Std. Dev. s1 = $ 663 s2 = $ 820 Repair Incidents n1 = 16 n2 = 14 Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 99 percent confidence interval for the true difference of the means assuming equal variances. (Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 99% confidence interval is from to (b) Repeat part (a), using the assumption of unequal variances with Welch's…arrow_forward
- A special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage). Statistic Test Group Control Group Mean Damage X¯¯¯1X¯1 = $ 1,077 X¯¯¯2X¯2 = $ 1,800 Sample Std. Dev. s1 = $ 693 s2 = $ 814 Repair Incidents n1 = 16 n2 = 13 Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 90 percent confidence interval for the true difference of the means assuming equal variances. (Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 90% confidence interval is from to (b) Repeat part (a), using the assumption of unequal variances with Welch's…arrow_forwardA special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage). Statistic Test Group Control Group Mean Damage x¯1x¯1 = $ 1,101 x¯2x¯2 = $ 1,766 Sample Standard Deviation s1 = $ 696 s2 = $ 838 Repair Incidents n1 = 12 n2 = 9 (a) Construct a 90 percent confidence interval for the true difference of the means assuming equal variances. (Round answers to 3 decimal places. Negative values should be indicated by a minus sign.) (b) Repeat part (a), using the assumption of unequal variances with Welch's formula for d.f. (Round answers to 2 decimal places. Negative values should be indicated by a minus sign.) (d) Construct separate…arrow_forward
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