Your elderly grandfather prefers to ride the city bus, and many of his friends do as well. However, you also notice that many elderly people use rideshare apps like Lyft and Uber. You want to know whether elderly people are more likely to use the bus, or rideshare apps for transportation, but you notice that there's no published data suggesting an answer. You create a one-way chi square analysis and recruit 120 participants for your sample. What is the expected frequency for the number of elderly people in your sample who prefer the bus?

Your elderly grandfather prefers to ride the city bus, and many of his friends do as well. However, you also notice that many elderly people use rideshare apps like Lyft and Uber. You want to know whether elderly people are more likely to use the bus, or rideshare apps for transportation, but you notice that there's no published data suggesting an answer. You create a one-way chi square analysis and recruit 120 participants for your sample. What is the expected frequency for the number of elderly people in your sample who prefer the bus?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A community college professor is interested in determining the relationship between the number of posts students make on Schoology and their respective grades. He planned to correlate the results from a sample from all his classes, however, due to time constraints, he decided to sample only from students with high grades. As his statistical consultant, state whether or not you support his plans and why.
Katrina Bell, analyst for the Hexaco Oil Company, has been assigned the task of investigating the claim that Hexaco dealers charge more for unleaded gasoline than do independent dealers. Katrina is afraid that if she chooses two independent random samples of stations for each type of dealer, the variability in price due to geographic location might be a factor. To eliminate this source of variability, she chooses a pair of stations : one independent and one Hexaco in close geographic proximity of each region. The results of the sampling are in Sheet 47. What should Katrina conclude at the 0.01 significance level? Hexaco Independent 90,5 89,9 91,9 90,9 92,7 90,9 91,9 90,9 93,6 91,8 89,9 90,9 90,9 90,9 89,8 88,9 88,7 88,9 87,9 88,6 92,7 91,9 Select one:…
Researchers at Purdue University and Wichita State University found that airlines are doing a better job of getting passengers to their destinations on time. AirTran Airways and Southwest Airlines were among the leaders in on-time arrivals, with both having 88% of their flights arriving on time. But for the 12% of flights that were delayed, the dataset named AirDelay contains this information. - View the infotmation (data that realtes to the question) in the screenshot attatched. A) Formulate the hypothesis that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. B) Identify the appropriate t-test. Explain your selection. C)Conduct the test using an α = .05. D) Interpret your results in the context of this problem.
Given this already solved problem, how could you determine whether homogeneity of variance is satisfied for this analysis, and be clear on how you decided this.
A coffee company uses a data-based approach to improving the quality and customer satisfaction of its products. When survey data indicated that the coffee company needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bag without tearing the inner liner of the bag. One factor that could affect the rating of the ability of the bag to resist tears was the plate gap on the bag-sealing equipment. Data were collected on 19 bags in which the plate gap was varied. 1) Assuming a linear relationship, use the least-squares method to find the regression coefficients b0 and b1. 2) Interpret the meaning of the slope, b1, in this problem. Choose the correct answer below. A. For each increase of one in the tear rating, the plate gap is expected to increase by b1 units. B. The approximate tear rating when the plate gap is 0 units is b1. C. The…
A coffee company uses a data-based approach to improving the quality and customer satisfaction of its products. When survey data indicated that the coffee company needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bag without tearing the inner liner of the bag. One factor that could affect the rating of the ability of the bag to resist tears was the plate gap on the bag-sealing equipment. Data were collected on 19 bags in which the plate gap was varied. Assuming a linear relationship, use the least-squares method to find the regression coefficients b0 and b1. b0 = b1 =
A coffee company uses a data-based approach to improving the quality and customer satisfaction of its products. When survey data indicated that the coffee company needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bag without tearing the inner liner of the bag. One factor that could affect the rating of the ability of the bag to resist tears was the plate gap on the bag-sealing equipment. Data were collected on 19 bags in which the plate gap was varied. A) Assuming a linear relationship, use the least-squares method to find the regression coefficients b0 and b1. Interpret the meaning of the slope, b1,in this problem. Choose the correct answer below. A.For each increase of one in the tear rating, the plate gap is expected to increase by b1 units. B. The approximate tear rating when the plate gap is 0 units is b1. C. The approximate…
Studies originating in France about 15 years ago claimed that moderate red wine drinking (1-2 glasses per day) lowered rates of heart disease. a). What would be an ideal way to test this theory? What data would you collect, on how many people and from where?b). If you were forced to use observational data from some big data sets, what would your dependent (Y) and independent (X) variables be?c). Can you imagine any sampling or measurement problems inherent to your study? How might they hinder your analysis?d). Could red wine be a confounding variable for something else, explain?e). Let’s suppose that you found with more than 99% confidence that red wine reduced heart disease in France and the effect was substantial. Explain how the concepts of external validity and extrapolationmight or might not be concerns in applying the results to different groups in the United States?
A snack company is switching to environmentally friendly bags for its potato chips. The company is testing whether thenew bags are too hard to open.Product testers ask 25 randomly chosen subjects to open the new bags and another 25 randomly chosen subjects to open the old bags. They note the time it takes all subjects to open the bags. What type of data collection method was used here?
Mendel counted 4000 peas from a dihybrid cross and predicted a 9:3:3:1 phenotypic ratio with the following results. Yellow and smooth peas 2100; yellow and wrinkled peas 700: green and smooth peas 859 and green and wrinkled peas 341. Support or refute these data with a CHI-Square analysis. State the Null hypothesis and its outcome for this set of data.
An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist’s findings is that immediately after the workshop, a sample of 81 job seekers who received training on using the Internet to find job listings worked more than 30 hours per week an average of 8.7 months in the last year, with a standard deviation of 4.1. The typical job seeker works 7.4 months. The psychologist finds that the estimated Cohen’s d is , the t statistic is 2.83, and r² is . Using Cohen’s d and Cohen’s guidelines for interpreting the effect size with the estimated Cohen’s d, there is a treatment effect. Using r² and the extension of Cohen’s guidelines…
At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the Northeast spend more on average than the national average reported in the Bureau of Labor Statistics? Select the correct hypothesis test for this problem: