Mixed gender decision-making groups. In business, a groupof executives is often assigned to make key decisions. TheAmerican Journal of Political Science (April 2014) pub-lished a study on a woman's impact on mixed-gender delib-erating groups. The researchers randomly assigned subjectsto one of several 5-member decision-making groups. Thegroups' gender composition varied as follows: 0 females,1 female, 2 females, 3 females, 4 females, or 5 females. Eachgroup was then randomly assigned to utilize one of twotypes of decision rules: unanimous or majority rule. Tengroups were created for each of the 6 × 2 = 12 combina-tions of gender composition and decision rule. One vari-able of interest, measured for each group, was the numberof words spoken by women on a certain topic per 1,000total words spoken during the deliberations.a. Why is this experiment considered a designed study?b. Identify the experimental unit and dependent variablein this study.c. Identify the factors for this study. Give the levels ofeach factor.d. How many treatments are in this study? List them.

(a) Treatment was deliberately imposed on the experimental units (b) Subject, Number of words spoken…

Answered: Mixed gender decision-making groups. In…

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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Mike Jimenez is president of the teachers’ union for Preston School District. In preparing for upcoming negotiations, he would like to investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher’s salary: years of experience, a rating of teaching effectiveness given by the principal, and whether the teacher has a master’s degree (0 = No, 1 = Yes). A random sample of 20 teachers resulted in the following data. Salary ($ Thousands) Years of Experience Principal's Rating Master's Degree 51.1 8 95 0 43.6 5 84 0 39.3 2 100 1 53 15 51 1 48.6 11 53 0 55 14 81 1 52 9 85 0 46.8 7 52 1 58.6 22 68 1 41.7 3 97 1 35.7 1 83 0 40.6 5 71 0 61.8 23 77 1 46.7 17 61 0 48.4 12 83 1 43.6 14 71 0 51.8 8 59 1 40.7 4 93 0 42.8 2 58 1 42.9 8 90 0 g. What does the value of the Coefficient of Determination tell you about the data? h. Run a diagnosis to deterime if the model is…
Mike Jimenez is president of the teachers’ union for Preston School District. In preparing for upcoming negotiations, he would like to investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher’s salary: years of experience, a rating of teaching effectiveness given by the principal, and whether the teacher has a master’s degree (0 = No, 1 = Yes). A random sample of 20 teachers resulted in the following data. Salary ($ Thousands) Years of Experience Principal's Rating Master's Degree 51.1 8 95 0 43.6 5 84 0 39.3 2 100 1 53 15 51 1 48.6 11 53 0 55 14 81 1 52 9 85 0 46.8 7 52 1 58.6 22 68 1 41.7 3 97 1 35.7 1 83 0 40.6 5 71 0 61.8 23 77 1 46.7 17 61 0 48.4 12 83 1 43.6 14 71 0 51.8 8 59 1 40.7 4 93 0 42.8 2 58 1 42.9 8 90 0 a. What is the question being asked? b. Label your dependent variable: y = c. Label your independent variables: x1 = x2 = x3 = d.…
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was = $844, and the sample standard deviation was sd = $1,166. C) What is the point estimate of the difference between the population means? $ What is the 95% confidence interval estimate of the difference between the population means (to the nearest whole number)? ( need amount, need amount)
2.- The journal Behavioral Research in Accounting published a study of Machiavellian traits in accountants. Machiavellian describes negative character traits that include manipulation, cunning, duplicity, deception, and bad faith. A questionnaire by email was administered to a random sample of 700 accounting alumni of a large southwestern university; however, due to nonresponse and incomplete answers, only 198 questionnaires could be analyzed. Several variables were measured, including age, gender, level of education, income, job satisfaction score, and Machiavellian (“Mach") rating score. The research findings suggest that Machiavellian behavior is not required to achieve success in the accounting profession. a) What is the populatidn of interest to the researcher? Answer: Business accountants in the southwest Accountants in general Accounting alumni from this university Business alumni from this university b) What inference was made by the researcher? Answer: Accountants are always…
A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…
The Bureau of Transportation reports on-time performance for airlines at major airports. JetBlue, United, and US Airways share Terminal C and Boston's Logan Airport. The percentage of on-time flights reported for a sample month were 76.8% for JetBlue, 71.5% for United, and 82.2% for US Airways. Assume that 30% of the arriving flights at this terminal are JetBlue flights, 32% are United flights, and 38% are US Airways flights. a. Develop a contingency table (table of joint probabilities and marginal probabilities). b. An announcement is made that Flight 1382 will arrive at Terminal C. What is the probability that the flight will arrive on time? c. Flight 1382 arrives on time. What is the probability that Flight 1382 is operated by US Airways? d. Flight 1382 will not arrive on time. What is the probability that Flight 1382 is operated by United?
The student population at the state college consists of 30% freshmen, 25% sophomores, 25% juniors, and 20% seniors. The college theater department recently staged a production of a modem musical. A researcher recorded the class status of each student entering the theater and found a total of 20 freshmen, 23 sophomores, 22 juniors, and 15 seniors. Is the distribution of class status for theatergoers significantly different from the distribution for the general college? Test at the .05 level of significance.
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
According to a Gallup poll in October 2015, having young children at home greatly influences whether women in the U.S. prefer to stay at home or work outside of it. More than half of women, 56%, who have a child younger than 18 would ideally like to stay home and care for their house and family, while 58% of those without young children would rather work outside the home. Having young children makes little difference in men's preferences, with close to three-quarters preferring to work regardless of their parenting status. Gallup states that their method has a margin of error of 0.031.(a) Give a point estimate for the proportion of all US women with a child under 18 that would like to stay at home.(b) Give an interval estimate for the proportion of all US women with a child under 18 that would like to stay at home. Use three decimal places in your answer.( , )(c) What is the difference between a point estimate and an interval estimate?
In the book Business Research Methods, Donald R. Cooper and . William Emory (1995) discuss a manager who wishes to compare the effectiveness of two methods for training new salespeople. The authors describe the situation as follows: The company selects 22 sales trainees who are randomly divided into two equal experimental groups-one receives type A and the other type B training. The salespeople are then assigned and managed without regard to the training they have received. At the year's end, the manager reviews the performances of salespeople in these groups and finds the following results: Average Weekly Sales. Standard Deviation HO: μA - μB ≤ t= (a) Set up the null and alternative hypotheses needed to attempt to establish that type A training results in higher mean weekly sales than does type B training. Reject Do not reject Do not reject Do not reject Very strong A Group 3.214 X₁ $1,352 $1= 224 Confidence interval [ B Group X2 = $1,000 $2 = 286 (b) Because different sales trainees…
A pharmaceutical company is testing the effectiveness of its vaccine across two different age brackets. They take a sample and split the participants up into two separate groups. Group A consists of 44 people who are between ages 13 and 18. Group B consists of 58 people between ages 19 and 26. After being administered the vaccine, it was found that 37 people from group A were immune to the virus and 42 people from group B were immune. What proportion of people from Group A were immune? What proportion of people from Group B were immune? What proportion of people in this study were immune?
Camille for her part wants to assess the impact of an awareness campaign aimed at reducing the amount of household food waste. The campaign is taking place in a subset of neighborhoods of Ville de Montréal. Camille’s objective is to compare the average amount of food waste produced in those neighborhoods, with that in neighborhoods not targeted by the campaign. Therefore, she randomly chooses five neighborhoods targeted by the campaign and five neighborhoods where the campaign does not take place. In each of the 10 neighborhoods, she monitors the weekly amount of food waste (kg) for each of a number of households, and calculates amounts on a per household basis; see below. Is the amount of food waste per household in the neighborhoods targeted by the campaign lower, on average, than in those not targeted by the campaign? Use α= 0.05.

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