Exam 3: Statistics for Describing, Exploring, and Comparing Data
Exam 1: Introduction to Statistics106 Questions
Exam 2: Summarizing and Graphing Data85 Questions
Exam 3: Statistics for Describing, Exploring, and Comparing Data187 Questions
Exam 4: Probability186 Questions
Exam 5: Discrete Probability Distributions155 Questions
Exam 6: Normal Probability Distributions227 Questions
Exam 7: Estimates and Sample Size141 Questions
Exam 8: Hypothesis Testing139 Questions
Exam 9: Inferences From Two Samples133 Questions
Exam 10: Correlation and Regression104 Questions
Exam 11: Chi-Square and Analysis of Variance65 Questions
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Use the range rule of thumb to estimate the standard deviation. Round results to the nearest tenth.
-The race speeds for the top eight cars in a 200-mile race are listed below.
188.8 183.0 189.2 182.1 175.6 184.6 178.3 179.4
(Multiple Choice)
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Find the midrange for the given sample data.
-The speeds (in mph) of the cars passing a certain checkpoint are measured by radar. The results are shown below. Find the midrange. 44.1 41.7 42.4 40.2 43.9
40.2 45.0 41.9 44.1 42.2
44.0 41.9 40.2 44.0 41.7
(Multiple Choice)
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Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values.
-The local Tupperware dealers earned these commissions last month: \ 3120.40 \ 2050.85 \ 4357.05 \ 4632.26 \ 3033.20 \ 3150.18 \ 1772.68 \ 1586.15 \ 2269.53 \ 3692.16 What was the mean commission earned? Round your answer to the nearest cent.
(Multiple Choice)
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Skewness can be measured by Pearson's index of skewness:
If or , the data can be considered significantly skewed. Find Pearson's index of skewness for the test scores below.
68 80 36 94 72 42 75 91 84 73 88
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D)
(Short Answer)
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Marla scored 85% on her last unit exam in her statistics class. When Marla took the SAT exam, she scored at the 85 percentile in mathematics. Explain the difference in these two scores.
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A company advertises an average of 42,000 miles for one of its new tires. In the manufacturing process there is some variation around that average. Would the company want a process that provides a large or a small variance? Justify your answer.
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