Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called “UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?

Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called “UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?

Name: Your state is going to vote on becoming a "right to work" state in th
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there arelationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split intothree groups: Low; M

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

4) A study is designed to examine the how the eyes of a model in a magazine advertisement might affect the way a consumer views the product being advertised. Volunteers are assigned one of four ads for a fictional toothpaste, each with a photo of the same model. The only difference is that eyes are digitally made either brown, blue or green OR the model is in the same pose but looking downward so that the eyes are not visible. The variable measured is the viewer's attitude toward the brand. Find the values that go in the boxes for this table. You will enter those values as requested below. ANOVA: Single Factor SUMMARY Groups Blue Brown Green Down ANOVA Source of Variation Between Groups Within Groups Total Q4.1 Box A) Total SS Save Answer Q4.2 Box B) df(num) Save Answer Q4.3 Box C) df(denom) ANOVA: Single Factor SUMMARY Groups Blue Brown Green Down ANOVA Source of Variation Count 67 37 77 41 Between Groups Within Groups SS Total 24.419 613.138 A. Type the value that goes in the box…
The questions below are based on a dataset containing the characteristics of 5,407households. In particular, we will use the following variables:- size: home size, measured in square feet.- hhinc: annual household net income, measured in euros.- owner: dummy variable equal to 1 if the living space is owned, and 0 if the livingspace is rented.- hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or2, and 0 otherwise.- hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or4, and 0 otherwise.- hhsize3: dummy variable equal to 1 if the number of household’s members is 5 orabove 5, and 0 otherwise.- edu: education level of household’s members. Consider the results in Table 4. Interpret the size and magnitude of the estimatedcoefficient of owner. Why is the estimated coefficient of owner in Table 4 equal to theestimated coefficient of owner in Table 3?
7. You want to test whether there is a statistically significant difference in the stock market forecasts of economists versus stockbrokers. A random sample of 36 economists and 25 stockbrokers were asked to report their forecast for the Dow Jones Industrial average for one year from today. Forecasters Number Average Forecast S Economists 36 11200 750 Stockbrokers 25 10700 375 a. Is there a statistically significant difference between the forecasts of the economists and the stockbrokers or can the reported difference be attributed to sampling error? Perform a hypothesis test to answer this question and use a 5% significance level. Be sure to include all 4 steps of the hypothesis testing process and to interpret your result. b. Use these data to compute a 95% confidence interval for the difference in the population average forecasts for economists versus stockbrokers. Can you rule out the hypothesis that the stock market forecasts of stockbrokers and economists have the same mean by…
1 2 3 4 5 6 7 8 9 _0 1 2 3 _4 5 6 _7 8 9 20 21 22 23 24 25 26 27 28 29 30 31 52 53 4 35 36 37 38 39 10 11 12 13 14 15 16 47 18 19 50 51 52 53 54 A Income ($1000s) 54 30 32 50 31 55 37 40 66 51 25 48 27 33 65 63 42 21 44 37 62 21 55 42 41 54 30 48 34 67 50 67 55 52 62 64 22 29 39 35 39 54 23 27 26 61 30 22 46 66 B Household Size 3 2 4 5 2 2 1 2 4 3 3 4 1 2 3 4 6 2 1 5 6 3 7 2 7 6 1 2 5 4 2 5 6 2 3 2 3 4 2 1 4 3 6 2 7 2 AUANN 2 4 5 4 с Amount Charged ($) 4,016 3,159 5,100 4,742 1,864 4,070 2,731 3,348 4,764 4,110 4,208 4,219 2,477 2,514 4,214 4,965 4,412 2,448 2,995 4,171 5,678 3,623 5,301 3,020 4,828 5,573 2,583 3,866 3,586 5,037 3,605 5,345 5,370 3,890 4,705 4,157 3,579 3,890 2,972 3,121 4,183 3,730 4,127 2,921 4,603 4,273 3,067 3,074 4,820 5,149 D E F G H I J K
A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines: Central Office I Time to Clear Problems (minutes) 1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10 1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97 Central Office II Time to Clear Problems (minutes) 7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02 3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72 Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01) ▪ You may need to download file “Phone”. Referring to Table 10-2, which of the following is an appropriate null hypothesis? Question 2 options: 1)…
Food trucks have become a common sight on American campuses. They serve scores of hungry students strolling through campus and looking for trendy food served fast. The accompanying data file contains the number of students served on weekdays on a small campus in California. Weekday Students 1 84 2 66 3 108 4 113 5 74 6 115 7 110 8 116 9 128 10 114 11 97 12 85 13 119 14 151 15 187 16 144 17 139 18 108 19 71 20 28 21 22 22 61 23 65 24 100 25 53 26 73 27 52 28 29 29 65 30 35 31 48 32 84 33 104 34 96 35 121 36 116 37 97 38 143 39 154 40 166 1. Report the performance measures for the techniques in parts a and b. Note: Do not round intermediate calculations. Round final answers to 2 decimal places. Technique MSE MAD MAPE (%) 3-period moving average 5-period moving average
Brookdale College is conducting a study to determine the patterns in the number of degrees it has been awarding to students in different majors over the past 11 years. The data for some of these majors are shown in the table. Horticulture Auto Engineer Technology Business Administration Dental Hygiene Nursing ✔ Auto Engineer Technology ✔Business Administration Dental Hygiene Nursing 1999 2000 16 Auto Engineer Technology prediction Business Administration prediction Dental Hygiene prediction Nursing prediction 10 161 60 70 25 12 149 49 74 2001 2002 2003 21 16 136 46 63 15 12 93 46 62 20 10 106 34 55 2004 2005 20 9 89 44 64 14 13 81 39 64 2006 520 16 14 63 48 104 2007 2008 2009 12 12 50 46 147 12 20 59 44 155 6 27 50 41 (a) Decide for which of these majors there is a significant level of correlation and for which there is little or no correlation. (Select all the majors with a significant level of correlation.) Horticulture 146 (b) For those majors for which there is a significant level…
1) The sources for obtaining data for a study could be experiments, surveys and records. What is the difference between an experiment and a survey?
A research paper describes a study of the relationship between age and 1-hour swimming performance. Data on age and swim distance for over 10,000 men participating in a national long-distance 1-hour swimming competition are summarized in the accompanying table. Representative Age (Midpoint of Age Group) Average Swim Distance (meters) Age Group 20-29 25 3913.5 30-39 35 3718.8 40-49 45 3579.4 50-59 55 3351.9 60-69 65 3000.1 70-79 75 2639.0 80-89 85 2118.4 (a) Find the equation of the least-squares line with x = representative age and y = average swim distance. (Round your numerical values to three decimal places.) + (b) Compute the seven residuals. (Round your answers to three decimal places.) Representative Age (x) Residual (meters) 25 35 45 55 65 75 85 Use the seven residuals to construct a residual plot. Residual Residual Residual 200 200 200 100 100 100 - 100 -100 - 100
Salaries for administrative assistants range from $32,000 per year to $67,000 per year. Salaries for executive chefs range from $58,000 per year to $110,000 per year. Which of these two professions has the largest amount of variation? If the variability is high, what does this mean in terms of getting a salary on the higher end of the range?
In the digital age of marketing, special care must be taken to make sure that programmatic ads appearing on websites align with a company's strategy, culture and ethics. For example, in 2017, Nordstrom, Amazon and Whole Foods ea faced boycotts from social media users when automated ads for these companies showed up on the Breitbart website (ChiefMarketer.com). It is important for marketing professionals to understand a company's values and culture. The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals specializing in marketing (higher scores indicate higher ethical values). Marketing Managers Marketing Research Advertising 3. 6 4 6. 5 7 (a) Use a = 0.05 to test for significant differences in perception among the three groups. State the null and alternative hypotheses. O Ho: At least two of the population means are equal. H : At least two of the population means are different. O Ho: Not all the population means are…
Suppose that we have a data set of MBA students. This data set includes students' majors: accounting, finance, or marketing. Also, this data set has information on whether the same student earned a quantitative certificate (QC) or not. Earning QC Not Earning QC Total Accounting .2 .15 .35 Finance .2 .1 .3 Marketing .3 .05 .35 Total .7 .3 1) Suppose we learn that a student has a major in either accounting or finance. What probability should we assing to the event that this student does NOT earn a quantitative certificate? 2) Suppose we learn that a student earns a quantitative certificate. What probability should we assign to the event that this student has a major in either finance or marketing?