Chapter 13: Problem 10
Rank each set of data. $$ 11.7,18.6,41.7,11.7,16.2,5.1,31.4,5.1,14.3 $$
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Chapter 13: Problem 10
Rank each set of data. $$ 11.7,18.6,41.7,11.7,16.2,5.1,31.4,5.1,14.3 $$
These are the key concepts you need to understand to accurately answer the question.
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Get started for freeUse the Kruskal-Wallis test and perform these steps. a. State the hypotheses and identify the claim. b. Find the critical value. c. Compute the test value. d. Make the decision. e. Summarize the results. Use the traditional method of hypothesis testing unless otherwise specified. Amounts of Caffeine in Beverages The amounts of caffeine in randomly selected regular (small) servings of assorted beverages are listed. If someone wants to limit caffeine intake, does it really matter which beverage she or he chooses? Is there a difference in caffeine content at \(\alpha=0.05 ?\) $$ \begin{array}{lrc} \text { Teas } & \text { Coffees } & \text { Colas } \\ \hline 70 & 120 & 35 \\ 40 & 80 & 48 \\ 30 & 160 & 55 \\ 25 & 90 & 43 \\ 40 & 140 & 42 \end{array} $$
Use the Kruskal-Wallis test and perform these steps. a. State the hypotheses and identify the claim. b. Find the critical value. c. Compute the test value. d. Make the decision. e. Summarize the results. Use the traditional method of hypothesis testing unless otherwise specified. Depression Levels A psychologist designed a questionnaire to measure the level of depression among her patients. She divided the patients into three groups: never married, married, and divorced. Then she randomly selected subjects from each group and administered a questionnaire to measure their level of depression. The scale ranges from 0 to \(50 .\) The higher the score, the more severe the patient's depression. The scores are shown. At \(\alpha=0.10\), is there a difference in the means? $$ \begin{array}{ccc} \text { Never married } & \text { Married } & \text { Divorced } \\ \hline 37 & 40 & 38 \\ 39 & 36 & 35 \\ 32 & 32 & 21 \\ 31 & 33 & 19 \\ 37 & 39 & 31 \\ 32 & 33 & 24 \\ & 30 & \end{array} $$
Lengths of Prison Sentences A random sample of men and women in prison was asked to give the length of sentence each received for a certain type of crime. At \(\alpha=0.05,\) test the claim that there is no difference in the sentence received by each gender. The data (in months) are shown here. $$\begin{aligned}&\begin{array}{l|ccccccccc}\text { Males } & 8 & 12 & 6 & 14 & 22 & 27 & 32 & 24 & 26 \\\\\hline \text { Females } & 7 & 5 & 2 & 3 & 21 & 26 & 30 & 9 & 4\end{array}\\\&\begin{array}{l|ccccc}\text { Males } & 19 & 15 & 13 & & \\\\\hline \text { Females } & 17 & 23 & 12 & 11 & 16\end{array}\end{aligned}$$
To test the claim that there is no difference in the lifetimes of two brands of handheld video games, a researcher selects a random sample of 11 video games of each brand. The lifetimes (in months) of each brand are shown. At \(\alpha=0.01\), can the researcher conclude that there is a difference in the distributions of lifetimes for the two brands? $$\begin{array}{l|ccccccccccc}\text { Brand A } & 42 & 34 & 39 & 42 & 22 & 47 & 51 & 34 & 41 & 39 & 28 \\\\\hline \text { Brand B } & 29 & 39 & 38 & 43 & 45 & 49 & 53 & 38 & 44 & 43 & 32\end{array}$$
A game commissioner wishes to see if the number of hunting accidents in counties in western Pennsylvania is different from the number of hunting accidents in counties in eastern Pennsylvania. Random samples of counties from the two regions are selected, and the numbers of hunting accidents are shown. At \(\alpha=0.05,\) is there a difference in the number of accidents in the two areas? If so, give a possible reason for the difference. $$\begin{array}{l|cccccccccc}\text { Western Pa. } & 10 & 21 & 11 & 11 & 9 & 17 & 13 & 8 & 15 & 17 \\\\\hline \text { Eastern Pa. } & 14 & 3 & 7 & 13 & 11 & 2 & 8 & 5 & 5 & 6\end{array}$$
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