School/Preference Action Romance Comedy Total Private 77 55 70 202 Public 135 112 163 410 Total 212 167 233 612 The table shows a random sample of high school kids, broken down by what type of school they attend and what type of movies they prefer. At a 10% Level of Significance, test the claim that movie preference and type of school are dependent. 1. The hypotheses are : O Ho:Movie preference and school type are dependent Ha:Movie preference and school type are independent O Ho:Movie preference and school type are independent Ha:Movie preference and school type are dependent 2. This is a OrightO leftO two tailed test; d.f. = 3a. The STS (to 2 decimals) is x 3b. The P-value (to 3 decimals) = 4a. The decision at a = 10% is O Reject Ho O Do not rejéct Ho

School/Preference Action Romance Comedy Total Private 77 55 70 202 Public 135 112 163 410 Total 212 167 233 612 The table shows a random sample of high school kids, broken down by what type of school they attend and what type of movies they prefer. At a 10% Level of Significance, test the claim that movie preference and type of school are dependent. 1. The hypotheses are : O Ho:Movie preference and school type are dependent Ha:Movie preference and school type are independent O Ho:Movie preference and school type are independent Ha:Movie preference and school type are dependent 2. This is a OrightO leftO two tailed test; d.f. = 3a. The STS (to 2 decimals) is x 3b. The P-value (to 3 decimals) = 4a. The decision at a = 10% is O Reject Ho O Do not rejéct Ho

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Description: School/PreferenceActionRomanceComedyTotalPrivate775570202Public135112163410Total212167233612The table shows a random sample of high school kids, broken down by what type of school they attend andwhat type of movies they prefer. At a 10% Level of Sig

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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A report included data from a study in which 789 people in a representative sample of college students age 18 to 24 were asked how they perceive their money management skills. Possible responses were excellent, good, average, not very good, and poor. Each student in the sample was also classified by sex, resulting in the data in the table. Perception of Money Management Skills Not Very Good Excellent Good Average Poor Male 102 138 88 17 8 Female 81 193 136 22 4 Is there convincing evidence that there is an association between sex and how students perceive their money management skills? Test the relevant hypotheses using a significance level of a = 0.05. State the appropriate null and alternative hypotheses. O Ho: The proportions falling into each of the four perceptions of money management skills are the same for both sexes. H: The proportions falling into each of the four perceptions of money management skills are not the same for both sexes. O Ho: There is an association between sex…
In a market survey conducted to examine whether the choice of a brand is related to the income levels of the consumers, a random sample of 400 consumers reveal the following: Income level (per month) Brand 1 Brand 2 Brand 3 Total <20000 93 72 75 240 20000-50000 50 35 37 122 >50000 12 15 11 38 Total 155 122 123 400 Test the association between income level and brand preference at 5% significant level.
The table below shows the age and favorite type of music of 668 randomly selected people. Rock Pop Classical 15-25 50 85 73 25-35 73 95 60 36-45 85 70 77 Use a 1 percent level of significance to test the null hypothesis that age and preferred music type are independent.
The following table is from a publication. The individuals in the following table have an eye irritation, a nose irritation, or a throat irritation. They have only one of the three. Is there sufficient evidence to reject the hypothesis that the type of ear, nose, or throat irritation is independent of the age group at a level of significance equal to 0.05? Age (years) Type of Irritation 18-29 30-44 45-64 65 and Older Eye 422 560 340 54 Nose 932 1324 802 101 Throat 247 309 142 24 (a) Find the test statistic. (Round your answer to two decimal places.)(ii) Find the p-value. (Round your answer to four decimal places.)(b) State the appropriate conclusion. Reject the null hypothesis. There is not significant evidence that this sample contradicts the claim of independence.Reject the null hypothesis. There is significant evidence that this sample contradicts the claim of independence. Fail to reject the null hypothesis. There is not significant…
A study is being conducted to determine the relationship between religions and preference for female children in Japan. The results are given in the following table. Does it seem that there is a relationship between religion and preference for female children? Use the 5% significance level, to test the claim.
C. Predicting Student Success STA believes there is a relationship between high school GPA (on a four-point scale) and college performance (as measured by GPA on a four-point scale). The following data were randomly selected from among students enrolling Fall 2020. HS GPA STA GPA Student 1 HS GPA STAGPA Student 21 2.9 2.5 3.6 3.4 2 3.4 3.1 3.0 22 3.4 4.0 1.7 3 3.1 23 2.9 2.9 1.7 3.0 3.2 3.3 4 24 3.5 5 3.4 25 4.0 3.6 3.6 3.0 26 3.6 3.8 3.2 3.9 3.1 27 8. 4.0 3.9 28 3.4 3.6 3.2 9. 3.0 3.0 29 3.7 10 2.9 2.0 3.0 30 4.0 3.3 4.0 3.2 11 3.3 31 12 3.6 3.8 32 3.7 3.2 3.4 3.0 13 3.7 3.9 33 14 3.8 3.6 34 2.5 2.0 15 2.5 2.5 35 2.9 2.9 3.7 2.2 16 2.9 2.5 36 3.8 17 2.8 2.1 37 2.9 18 3.8 1.7 3.5 38 3.6 3.5 3.6 19 3.7 39 3.6 20 3.9 3.0 40 3.1 3.6 Is high school GPA a good predictor of STA GPA? Why? What STA GPA would you predict for a student with a high school GPA of 3.75? How you would make the prediction.
A survey described the results of a poll of working adults in Canada. Each person in a random sample was classified according to gender and the number of vacation days he or she usually took each year. The resulting data are summarized in the given table. Days of Vacation Gender Male Female None 51 42 1-5 21 25 6-10 67 79 11-15 106 98 16-20 71 70 21-25 82 58 More than 25 118 79 (a) Is it reasonable to conclude that there is an association between gender and the number of vacation days taken?Test the appropriate hypotheses using a 0.05 significance level. Calculate the test statistic. (Round your answer to two decimal places.)?2 =
Is there a relation between incidents of child abuse and number of runaway children? A random sample of cities (over 10,000 population) gave the following information about the number of reported incidents of child abuse and the number of runaway children. (Reference: Federal Bureau of Investigation, U.S. Department of Justice.) City 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Abuse cases 113 33 41 60 52 99 31 56 15 67 106 59 45 74 84 Runaways 648 188 285 687 421 590 284 277 162 473 600 432 317 580 592 Use a 1% level of significance to test the claim that there is a monotone-increasing relationship between the ranks of incidents of abuse and number of runaway children. (a) Rank-order abuse using 1 as the largest data value. Also rank-order runaways using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test. City Abuse CasesRank x RunawaysRank y d = x - y d2 123456789101112131415 Σd2 = (b) What is the level of…
Dataset: NES. Variables: spend8, nesw.) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the Analyze ▶ Compare Means ▶ One-Sample T Test procedure. You then will draw inferences about the population mean. Make sure you weight observations using the nesw variable so your results are nationally representative. A. The spend8 variable has a sample mean of ______.
The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Observed Number of Households in the Community Percent of U.S. Type of Household Households Married with children 26% 110 Married, no children Single parent One person Other (e.g., roommates, siblings) 29% 101 32 25% 98 11% 70 Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? State the nul and alternate hypotheses. O Ho: The distributions are different. H: The distributions are the same. O Hg: The distributions are the same. H: The distributions are different. O Hg: The distributions are the same. H: The distributions are the same. O Hg: The distributions are different. H: The distributions are different. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test…
Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head 71 80 96 108 55 115 46 91 Short and Slender Short and Pudgy Tall and Slender Tall and Heavy What can be concluded at the o= 0.01 significance level? 53 74 69 63