36. A political scientist wanted to know about the political preferences of people in a large Canadian city. She obtained arandom sample of size 500 using the list of all households in the city. After interviewing these 500 individuals, she found| that 235 of 500 supported the NDP, 165 supported the Liberals, 80 supported the Progressive Conservatives, and 20 didnot support any party.| Identify each of the following elements in this research scenarioa. Population| b. Samplec. Parameterd. Statistic

Here Population is people in large Canadian City. Sample is 500 individual sampled using list of…

Answered: 36. A political scientist wanted to…

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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In , Addison Group and Kelton surveyed the work preferences and attitudes of working adults spread over three generations — Baby Boomers, Generation X, and Millennials (Society for Human Resource Management website). One question asked individuals if they would leave their current job to make more money at another job. The file Millennials contains the sample data, which is also summarized in the following table. Click on the datafile logo to reference the data. Generation Leave Job for More Money? Baby Boomer Generation X Millennial Yes 137 171 175 No 213 199 186 Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation. Compute the value of the test statistic (to decimals). Do not round your intermediate calculation. What is the -value? Use Table 3 of Appendix B. The -value is . Using a level of significance, what is your conclusion? Conclude interest in leaving job for more money independent of the…
2. We want to investigate whether there exists gender bias on traffic stops by the police here in Charlotte. The Charlotte Open Data Portal includes information on different characteristics of drivers being stopped. We collected the data from 2017 and we are interested in answering the question: "Of all the drivers who are stopped, are female drivers less likely to get searched than male drivers? From the data collected we observed that 438 out of the 24,314 female drivers were searched, whercas 2,244 out of 34,095 male drivers were scarchcd. (a) that the proportion of female drivers being searched is smaller than the proportion of male drivers being searched? Is there sufficient evidence at the 0.05 significance level to conclude Construct the appropriate confidence interval for the hypothesis (b) test of part (a) and state your conclusion.
What is the value of SS for the following sample? 1,3,2,2?
3. Consider the following set of data, which represents a simple random sample of heights (in inches) of full-grown corn plants in Horseyetown, WI: (78.5, 88.8, 76.2, 73.0, 79.5, 66.9, 72.4, 86.6, 67.6, 73.5, 72.6, 72.6, 80.0, 69.1, 79.1, 73.9, 72.3, 83.3, 64.3, 69.1) Round your answers to 2 decimal places. A. Calculate the range. B. Calculate the sample mean. C. Calculate sample statistics to estimate the population standard deviation and variance of all full-grown corn plants in Horseyetown, WI.
A source table has the following information: Three treatment conditions with a sample of n =7 participants in each treatment. You know SS(BW) = 20 and MS(WI) = 2. What is the missing value for MS(BW)? Answer choices: 40, 10, 2, 5 You have an ANOVA source table with the following information: Three treatment groups with a sample of n = 10 participants in each treatment. You also know the SS(BW) =20 and F = 5.00. What is the missing value for SS(Total)? Answer choices: 74, 54, 30, 22 For an experiment involving 2 levels of factor A and 3 levels of factor B with a sample of n = 5 in each treatment condition, what is the value for df(WI)? Answer choices: 30, 29, 24, 20
The safety director of a large steel mill took samples at random from company records of minor work-related accidents and classified them according to the time the accident took place. Time Number of Accidents Time Number of Accidents 8 up to 9 a.m. 10 1 up to 2 p.m. 11 9 up to 10 a.m. 9 2 up to 3 p.m. 12 10 up to 11 a.m. 12 3 up to 4 p.m. 7 11 up to 12 p.m. 6 4 up to 5 p.m. 11 Click here for the Excel Data File Using the goodness-of-fit test and the 0.10 level of significance, determine whether the accidents are evenly distributed throughout the day. H0: The accidents are evenly distributed throughout the day.H1: The accidents are not evenly distributed throughout the day. a. State the decision rule, using the 0.10 significance level. (Round your answer to 3 decimal places.) b. Compute the value of chi-square. (Round your answer to 3 decimal places.) c. What is your decision regarding H0?
10. The most common species of sweat bees are green, red, and yellow. For each color, we select a sample of 100 of bees of this color and record their length (in inches). We then create 3 data sets of 100 observations each, called "green", "red" and "yellow". Below are the boxplots and histograms for these data sets. The labels of the variables are missing from the histograms, but are included in the boxplots. Our task is to identify the missing labels. Which one of the following statements is correct? HAE 1141 (a) green (b) red (c) yellow 00 0.5 1.0 1.5 2.0 0.5 1.0 1.5 20 0.0 05 1.0 1.5 (d) (e) (f) A) Histogram (d) is for green, (e) is for red, and (f) is for yellow. B) Histogram (f) is for green, (e) is for red, and (d) is for yellow. C) Histogram (e) is for green, (f) is for red, and (d) is for yellow. D) Histogram (f) is for green, (d) is for red, and (e) is for yellow. E) Histogram (d) is for green, (f) is for red, and (e) is for yellow. 9 2.0
10. The most common species of sweat bees are green, red, and yellow. For each color, we select a sample of 100 of bees of this color and record their length (in inches). We then create 3 data sets of 100 observations each, called "green", "red" and “yellow". Below are the boxplots and histograms for these data sets. The labels of the variables are missing from the histograms, but are included in the boxplots. Our task is to identify the missing labels. Which one of the following statements is correct? (a) green (b) red (c) yellow 0.0 0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 (d) (e) (f) A) Histogram (d) is for green, (e) is for red, and (f) is for yellow. B) Histogram (f) is for green, (e) is for red, and (d) is for yellow. C) Histogram (e) is for green, (f) is for red, and (d) is for yellow. D) Histogram (f) is for green, (d) is for red, and (e) is for yellow. E) Histogram (d) is for green, (f) is for red, and (e) is for yellow. Frequency O'Z 02 4 Frequency OL Frequency…
Two pieces of information were gathered from 1212 randomly selected cities in the United States: the number of persons owning registered firearms and the murder rate. It was observed that cities with more registered firearms tended to have higher murder rates. Part A: Which is the population of interest in this study? People who own registered firearms in the United States Cities in the United States People who live in U.S. cities People who were murdered in the United States Part B: Which is the sample in this study? People who live in the 121U.S. cities People who own registered firearms in the 12 U.S. cities 12 cities in the United States People who were murdered in the 12 U.S. cities Part C: What type of study is this? A census, because it uses data from the entire population A statistical study, because it uses data from a sample Part D: Which of the following was not a variable observed in this study? The number of registered firearms in a given city Murder…

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