An article about the California lottery gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old,51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also gave information on the age distribution of those who purchaselottery tickets. The following table is consistent with the values given in the article. Suppose that the data resulted from a random sample of 200 lotteryticket purchasers. Based on these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share oflottery tickets? Use a chi-square goodness-of-fit test with a = 0.05. (Round your answer to two decimal places.)x² = 0.05Age of Purchaser Frequency18-343735-6410165 and over62P-value intervalP < 0.001O 0.001 ≤ p < 0.01O 0.01 < p < 0.050.05 ≤p < 0.10Op 20.10The data providestrong evidence to conclude that one or more of the three age groups buys a disproportionate share of lottery tickets.You may need to use the appropriate table in Appendix A to answer this question.

The expected values are,Age of purchaseFrequencyProportionExpected frequency18 - 34370.35200 X 0.35…

Answered: An article about the California lottery…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The General Social Survey is an annual survey given to a random selection of about 1500 adults in the United States. Among the many questions asked are "What is the highest level of education you've completed?" and "If you're employed full-time, how many hours do you spend working at your job during a typical week?" We're interested in examining whether or not there are differences in the typical work week length based on the level of education of the worker. We perform a one-way, independent-samples ANOVA test, with the "groups" in the ANOVA being categories of highest educational degree of the worker ("less than high school," "bachelor's degree," etc.) and the variable being the number of hours written down by the worker in answering the survey question. (a) Suppose that the results of our ANOVA are given in the ANOVA table below. Complete the missing cell of the ANOVA table (rounding your answer to two decimal places). Source of Degrees of,Sum of variation Between freedom squares…
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The General Social Survey is an annual survey given to a random selection of about 1500 adults in the United States. Among the many questions asked are "What is the highest level of education you've completed?" and "If you're employed full-time, how many hours do you spend working at your job during a typical week?" In a recent year, 1079 respondents answered both questions. The summary statistics are given in the chart below. (The sample data consist of the times, in hours per week, that were given by the respondents.) Sample Sample Sample size Groups mean variance Less than h.s. High school Bachelor's 258 40.9 101.8 263 41.8 97.5 270 42.2 94.4 Graduate 288 43.0 98.7 Send data to calculator Send data to Excel To decide if there are any differences in the mean hours per week worked by these different groups, we can perform a one-way, independent-samples ANOVA test. Such a test uses the following statistic. Variation between the samples F= Variation within the samples For the data from…
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A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)

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