**A Preliminary Study on AIDS Cases in Santa Clara County, California****Race Distribution of AIDS Cases:**- **White:** 25 cases- **Hispanic:** 11 cases- **Black:** 9 cases- **Asian/Pacific Islander:** 3 cases- **Total:** 48 cases**Objective:**Conduct a chi-square test for goodness-of-fit to determine if the occurrence of AIDS cases is consistent with the race distribution of Santa Clara County.**Hypotheses:**- **\( H_0 \):** The distribution of AIDS cases is consistent with the race distribution in Santa Clara County.- **\( H_a \):** The distribution of AIDS cases is different from the race distribution in Santa Clara County.**Population Distribution in Santa Clara County (Proportion and Expected Cases):**- **White:** - Proportion: 0.409 - Expected Cases: (To be calculated)- **Hispanic:** - Proportion: 0.273 - Expected Cases: (To be calculated)- **Black:** - Proportion: 0.027 - Expected Cases: (To be calculated)- **Asian/Pacific Islander:** - Proportion: 0.291 - Expected Cases: (To be calculated)- **Total:** - Proportion: 1 - Expected Cases: (Sum should equal 48)**Question:**Calculate the test statistic using the chi-square formula, and evaluate the consistency between the observed and expected distributions.

From given data we have : so, n=48

Answered: A preliminary study regarding the…

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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What is the value of SS for the following sample? 1,3,2,2?
28
A researcher computes the following one-way within-subjects ANOVA table. Fill in the blanks for the appropriate cells in the table below. Source of Variation SS df MS FObt Between groups 10 Between persons 60 9 Within groups (error) 9 6 Total 124 19
Every year during home football games the Carroll College fans do push-up contests to see how many they can do. Suppose that a curious stats student in the stands kept track of the number of push-ups completed for several students of both genders. Males 31 31 24 18 30 16 28 13 26 23 Females 16 11 10 1 26 26 6 9 16 32 Consider the hypothesis that males in this contest can do more pushups than females. Use an significance level to test the claim. The test statistic is Construct a 99% confidence interval for the mean of the differences between males and females.
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 800 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 535 344 Women who disagree 265 56 Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1: The proportions are the same. B. H0: The proportions of agree/disagree…
A random sample of employees participating in a company fitness program were asked how many days they logged an exercise activity in the past month. Their responses are reported in the histogram below.Based on the histogram above, what is the class width? Clas width = ? Days What is the sample size? Sample size = ? employees
2. Jim Miller works in the personnel department for a car company. He is told by his supervisor to investigate the difference in the average number of sick days between blue collar workers and whitecollar workers. So he obtained a random sample of 9 blue collar workers and a random sample of 9 white collar workers. He records the results below.At 10% level of significance, is there sufficient evidence to indicate a difference in mean sick days between blue collar workers and white collar workers.
The accuracy of a census report on a city in southern California was questioned by some government officials. A random sample of 1215 people living in the city was used to check the report, and the results are shown below. Ethnic Origin Census Percent Sample Result Black 10% 126 Asian 3% 31 Anglo 38% 463 Latino/Latina 41% 525 Native American 6% 58 All others 2% 12 Using a 1% level of significance, test the claim that the census distribution and the sample distribution agree.
a) Work this problem manually (by hand) using the procedures and formulas for ANOVA to check if the Population Means for flying time before major maintenance is required are the same for the three types of aircraft. To help you, Sample Means and Sample Variances have been calculated below for you: Airbus Boeing737 Boeing 787 6.4 8.7 9.9 7.8 7.4 12.8 5.3 9.4 12.1 7.4 10.1 10.8 8.4 9.2 11.3 7.3 9.8 11.5 __________________________________________________________________ Sample Mean 7.1…

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