Pearson eText Business Statistics: First Course -- Instant Access (Pearson+)
8th Edition
ISBN: 9780136880974
Author: David Levine, David Stephan
Publisher: PEARSON+
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Accounting Today identified top accounting firms in 10 geographic regions across the United States. All 10 regions reported
growth in a recent year. The Southeast and Gulf Coast regions reported growths of 12.49% and 9.78%, respectively. A
characteristic description of the accounting firms in the Southeast and Gulf Coast regions included the number of partners in the
firm. The file [Accounting Partners 2] contains the number of partners. Source: Data extracted from Accounting Today, "The 2019
Top Firms and Regional Leaders," available at bit.ly/2XdQVVW.
Number of Partners
Region
Southeast
Southeast
Southeast
Southeast
Southeast
Southeast
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Gulf Coast
Gulf Coast
Gulf Coast
Gulf Coast
Gulf Coast
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Gulf Coast
Gulf Coast
Gulf Coast
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Gulf…
Below are the results of a survey of America's best graduate and professional schools. The top 25 business schools, as determined by reputation, student selectivity, placement success, and graduation rate, are listed in the table. For each school, three variables were measured: (1) GMAT score for the typical incoming student; (2) student acceptance rate (percentage accepted of all students who applied); and (3) starting salary of the typical graduating student.
School GMAT Acc. Rate Salary
Harvard 644 15.0% $ 63,000
Stanford 665 10.2 60,000
Penn 644 19.4 55,000
Northwestern 640 22.6 54,000
MIT 650 21.3 57,000
Chicago 632 30.0 55,269
Duke 630 18.2 53,300
Dartmouth 649 13.4 52,000
Virginia 630 23.0 55,269
Michigan 620 32.4 53.300
Columbia 635 37.1…
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- Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table Use the least-squares method to determine the regression coefficients b0 and b1.arrow_forwardAbsenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel The following down below is the correlation matrix between absenteeism and potential independent variables. Why are the variables AvShift and U/MRel excluded from this correlation matrix? Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the…arrow_forwardAbsenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two…arrow_forward
- Absenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel. Correlation matrix is provided below. Why are the variables AvShift and U/MRel excluded from this correlation matrix? Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the correlation matrix show any evidence of collinearity? Explain. Data:…arrow_forwardConsider a business owner, how would you use methodology and the data results to increase sales or improve overall profitability? What are some of your recommendations?arrow_forwardAll of the following are common strategies in qualitative data analysis except: a. use of tests of significance b. use of hierarchies c. use of typologies d. use of networksarrow_forward
- Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. Assume that a dataset is collected for traffic crash analysis. The dataset contains data of severe traffic crashes between 2015 and 2019 in Australia. The description of the dataset is listed in Table 1. Suggest two (2) additional variables that can be included in traffic crash analysis. Explain the rationale of their inclusion. Table 1. Description of the dataset Field Description Experience The driving experience of the driver (Under 7 years/7- 14 years/Over 14 years) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The…arrow_forwarden 000 Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. Complete parts (a) through (e) below. E Click the icon to view the data on program per-year tuition and mean starting salary. a. Construct a scatter plot. Choose the correct graph below. OA. O B. В. OC. OD. O D. Q 80,000- 80,000- TOLL 200,000- 200,000- 0- 0+ 04 200,000 Starting Salary (S) 80,000 200,000 Starting Salary (S) 80,000 Tuition ($) Tuition ($) b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients…arrow_forwardMany research studies have been conducted to examine how different organizations are on implementing knowledge management processes. For example, studies have proved that larger firms have more resources to utilize, and so they have taken more efforts to implement knowledge management processes. The Journal of Business Research (Aug. 2014) published a study discussing the relationship between knowledge management processes and organizational performance. The table below shows the percentage of different size of firms participated in the study. These firms have been classified in terms of number of employees working. Need step-by-step procedure to answer each question. Randomly select one of the participated company from this study. Let x be the number of employees working in the company. Write the probability distribution of this x. What is the probability that the selected company employs more than 50 employees? Find E(x) and σ. Interpret the result.arrow_forward
- Waveney DIY Centers (WDC) operates a few dozen stores in the eastern United States. The stores are popular with home remodelers, contractors, and do-it-yourself customers. The managers at Waveney are interested in understanding what drives costs as well as getting better cost estimates when planning new stores. The area manager for the Southeast Region is interested in new data analysis approaches to management and offered to run a test using data from the 14 stores in the region. The Initial thoughts of the managers and the financial analysts in the region were that two primary factors drove store costs: store area (square footage) and revenue. The following data were collected from the most recent year of operations (revenues and costs in thousands of dollars). Store SE-01 SE-02 SE-03 SE-04 SE-05 SE-06 SE-07 SE-08 SE-09 SE-10 SE-11 SE-12 SE-13 SE-14 Revenues (5000) $ 21,245 16,182 Store cost 26,421 20,089 20,366 18,456 25,205 13,401 23,781 16,530 21,058 17,820 14,374 23,604 Area…arrow_forwardIs it possible to predict the annual number of business bankruptcies by the number of firm births (business starts) in the United States? The following data published by the U.S. Small Business Administration, Office of Advocacy, are pairs of the number of business bankruptcies (1,000s) and the number of firm births (10,000s) for a six-year period. Business Bankruptcies (1,000) 34.3 Firm Births (10,000) 58.1 35.0 55.4 38.5 57.0 40.1 58.5 35.5 57.4 37.9 58.0 i) Based on the output given, use these data to develop the equation of the regression model to predict the number of business bankruptcies by the number of firm births. ii) Explain the values of r and r. iii) Predict the number of business bankruptcies if the number of firm births is 54.0 (10,000s). iv) Do the data support the existence of a linear relationship between the number of firm births and the number of business bankruptcies? Test using a = 0.05. OUTPUT Model Summary Std. Error of the Estimate Adusted R Model R R Square…arrow_forwardThree training methods were compared to see whether they led to greater productivity after training. The following are productivity measures for individuals trained by each method. METHOD I METHOD II METHOD III 45 59 41 40 43 37 50 47 43 59 51 40 53 39 52 44 49 37 At the 0.05 level of significance, do the three training methods lead to different levels of productivity?arrow_forward
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