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- The following information comes from a study that examines changes in smoking status over a two-year period. In 2018, a sample of 70 adults over the age of 18 were asked to identify themselves as smokers or non-smokers. In 2020, the same 70 individuals were again be asked whether they were currently smokers or non-smokers. 2018 2020 Non-Smokers Smokers Non-Smokers 25 10 smokers 20 15 Describe the contingency table. Which statistical test is appropriate to use on these data?Should Genetic Data be treated any different than general research information/data?3. A sample of job applicants is selected to analyze the number of years of experience the job applicants have. The data set is: {1, 3, 3, 1, 2}. What can you conclude about the sample?
- Social media provides an enormous amount of data about the activities and habits of people using social platforms like Face book and Twitter. The belief is that mining that data provides a treasure trove for those who seek to quantify and predict future human behavior. A marketer is planning a survey of Internet users in the United States to determine social media usage. The objective of the survey is to gain insight on these three items: key social media platforms used, frequency of social media usage, and demographics of key social media platform users. a. For each of the three items listed, indicate whether the variables are categorical or numerical. If a variable is numerical, is it dis crete or continuous? b. Develop five categorical questions for the survey. c. Develop five numerical questions for the survey.assume that the facility has been operational for 6 months. The company was fully staffed on Day 1 but recently has seen an increase in turnover. In response, the HR Director (located in NE) began the process of gathering data from both turnover reports/exit interviews from both locations for the first half of the year (January – June). Below is a breakdown of turnover by Position, Exit Month, Department, Location, Manager, and Reason. Unfortunately, the Reason has not been recorded consistently at the Texas location and the HR Manager (who would know this information) has recently left the company. Based on the data provided, what conclusions could you draw regarding potential issues at these facilities Position Pay Grade Exit Month Department Location Manager Reason Customer Service Rep 7 Janurary Operations TX Smith Job Fit Customer Service Rep 7 February Operations NE Jones Lack of Growth Marketing Manager 13 March Marketing NE Shultz Personal Operations Lead 8…A Pew Research study conducted in 2017 found that approximately 75% of Americans believe that robots and computers might one day do many of the jobs currently done by people.† Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be automated. Nurse TaxAuditor Fast-FoodWorker 3 4 5 4 5 8 6 4 6 2 4 8 3 6 5 3 3 6 4 5 6 5 3 4 (a) Use ? = 0.05 to test for differences in the belief that a person's job is likely to be automated for the three professions. State the null and alternative hypotheses. H0: μNurse = μTax auditor = μFast-food worker Ha: μNurse ≠ μTax auditor ≠ μFast-food worker H0: At least two of the population means are equal. Ha: At least two of the population means are different. H0: Not all the population means are equal. Ha: μNurse = μTax auditor = μFast-food worker H0: μNurse = μTax auditor = μFast-food worker Ha:…
- 2. The scores for 15 persons on the Stressful Life Events Inventory (SLEI) and the scores for 15 other persons on the Major Stressors Questionnaire (MSQ) are presented in the Assessment 3 Data Excel file in the Stress Scores tab. For both surveys, higher scores mean that the person has experienced more stressors recently, suggesting a greater risk for stress-related symptoms such as acute anxiety attacks. Open the Assessment 3 Data Excel file and look over the SLEI and MSQ raw scores and z-scores in the Stress Scores tab. A. Please take a look at Participant 8 and 23 raw scores and z-scores. Who is at the greatest risk for acute anxiety attacks, Participant 8 or 23? Please make sure to briefly explain your answer based on the z- scores. B. What is the probability that someone will score higher than 40 on the SLEI? Is this unusual? Why or why not? What is the probability that someone will score higher than 125 on the MSQ? Is this unusual? Why or why not? (Please make sure to look up…3. Travelers who have no intention of showing up often fail to cancel their hotel reservations in a timely manner. These travelers are known, in the parlance of the hospitality trade, as "no-shows". To protect against no-shows and late cancellations, hotels invariably overbook rooms. A recent study examined the problems of over-booking rooms in the hotel industry. The following data, extracted from the study represent the daily numbers of late cancellations and no-shows for a random sample of 10 days at a hotel: 18, 16, 16, 16, 14, 18, 16, 18, 14, 19. e) Suppose the relative frequency distribution for the data is bell-shaped, then what percentage of observations are more than 18.2? (Hint: use Empirical rule) 2.5% 32% 16% 5%A categorical variable with multiple categories is converted to sufficient indicator variables for inclusion in a model. Will those indicator variables be correlated to one another? CLearly explain
- The Bureau of Labor Statistics reports on a variety of employment statistics. "College Enrollment and Work Activity of 2004 High School Graduates" provides information on high school graduates by gender, by race, and by labor force participation as of October 2004.³ (All numbers are in thousands.) The following two tables provide information on the “Labor force status of persons 16 to 24 years old by educational attainment and gender, October 2004." Using the information contained in the tables, do Exercises 4.58 through 4.62. OS LabForce Women, Age 16 to 24 < High School HS degree Some college Civilian Labor Force Employed Unemployed 662 2,050 1,352 Bachelors degree or more 921 Column Total 4,985 For Males: P{CLF | HSD} P{CLF | BD} 205 334 126 Click here for the Excel Data File 55 720 For Females: P{EMPI (CLF and HSD)} P{EMP | (CLF and BDM)} P{CLF | HSD} P{CLF | BD} Not in Labor Force 759 881 321 105 2,066 P{EMPI (CLF and HSD)} P{EMPI (CLF and BDM)} Row Total 1,626 3,265 1,799…Essay 21. a. What types of studics can show causc-and-effect relationships? Explain. b. What must be included in thosc studies from part (a) in order to show cause-and-effect? Explain. c. Some people respond favorably to any treatment given. What can be done to address this problem? Explain.What social media tools do marketers commonly use? The “2015 Social Media Marketing Industry Report” by Social Media Examiner (socialmediaexaminer.com) surveyed marketers who commonly use an indicated social media tool. Surveyed marketers who commonly use an indicated social media tool. Surveyed were both B2B marketers, marketers that primarily target consumers. Suppose the survey was based on 500B2B marketers and 500 B2C marketers and yielded the results in the following table below: SOCIAL MEDIA TOOL BUSINESS FOCUS (B2B) (%) BUSINESS FOCUS (B2C) (%) FACEBOOK 88 96 TWITTER 83 77 For each social media tool, at the 0.05 level of significance, determine whether there is a difference between B2B marketers and B2C marketers in the proportion who used each social media tool. State the complete hypotheses (hypothesis null and hypothesis alternative for question (a) above