Exam 17: Introduction to Nonparametric Statistics
Exam 1: The Where, why, and How of Data Collection167 Questions
Exam 2: Graphs,charts and Tablesdescribing Your Data138 Questions
Exam 3: Describing Data Using Numerical Measures130 Questions
Exam 4: Using Probability and Probability Distributions77 Questions
Exam 5: Discrete Probability Distributions119 Questions
Exam 6: Introduction to Continuous Probability Distributions90 Questions
Exam 7: Introduction to Sampling Distributions104 Questions
Exam 8: Estimating Single Population Parameters145 Questions
Exam 9: Introduction to Hypothesis Testing129 Questions
Exam 10: Estimation and Hypothesis Testing for Two Population Parameters97 Questions
Exam 11: Hypothesis Tests and Estimation for Population Variances71 Questions
Exam 12: Analysis of Variance137 Questions
Exam 13: Goodness-Of-Fit Tests and Contingency Analysis104 Questions
Exam 14: Introduction to Linear Regression and Correlation Analysis136 Questions
Exam 15: Multiple Regression Analysis and Model Building153 Questions
Exam 16: Analyzing and Forecasting Time-Series Data133 Questions
Exam 17: Introduction to Nonparametric Statistics104 Questions
Exam 18: Introduction to Quality and Statistical Process Control110 Questions
Exam 19: Introduction to Decision Analysis116 Questions
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The Mann-Whitney U test is a nonparametric test that is used to test whether two related populations have the same median.
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Recently,Major League Baseball officials stated that the median cost for a family of four to attend a baseball game including,parking,tickets,food,and drinks did not exceed $125.00.The following sample data were collected:
Assuming that the test of the owners' claim is going to be conducted using an alpha = .05 level,the null hypothesis that the median cost does not exceed $125 should not be rejected.

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Consider the situation in which a study was recently conducted to determine whether the median price of houses is the same in Seattle and Phoenix.The following data were collected.
Given these data,if a Mann-Whitney U test is to be used,the sum of the ranks for Seattle is:

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The Kruskal-Wallis test is used to test whether the centers of 3 or more populations are equal so long as that is the only possible difference between the population distributions.
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