1.
Introduction: Strategy is a ‘game plan’ that facilitates a company to attract its customers by showing itself unique from competitors. The main focus of a company’s strategies is “target customers”. A strategy is a long term plan of action that strengthens the performance of the business.
The type of cognitive bias reveals in the mentioned data
2.
Introduction: Strategy is a ‘game plan’ that facilitates a company to attract its customers by showing itself unique from competitors. The main focus of a company’s strategies is “target customers”. A strategy is a long term plan of action that strengthens the performance of the business.
The reason due to which cognitive bias adversely affect manger’s decision.
3.
Introduction: Strategy is a ‘game plan’ that facilitates a company to attract its customers by showing itself unique from competitors. The main focus of a company’s strategies is “target customers”. A strategy is a long term plan of action that strengthens the performance of the business.
The procedure manger can use to adverse influence of cognitive bias
Want to see the full answer?
Check out a sample textbook solutionChapter P Solutions
MANAGERIAL ACCOUNTING FOR MANAGERS EBOOK
- The Economic Policy Institute periodically issues reports on wages of entry-level workers. The institute reported that entry-level wages for male college graduates were $21.68 per hour and for female college graduates were $18.80 per hour in 2011. Assume that the standard deviation for male graduates is $2.30, and for female graduates it is $2.05. What is the sampling distribution of for a random sample of 50 male college graduates? What is the sampling distribution of for a random sample of 50 female college graduates? In which of the preceding two cases, part (a) or part (b), is the standard error of smaller? Why?arrow_forwardA professor wants to investigate the relationship between the grades students obtain in their midterm exam (X) and the grades they obtain (Y) in the final exam. The professor collects data from 60 randomly chosen students. The estimated OLS regression is Ý = 45 +0.85X, where Y, denotes the predicted value of the grades obtained in the final exam by the " individual and X, denotes the grades obtained in the midterm exam. From the sample data he makes the following calculations: 60 3230 48, j= 1 60 3D1 ^2 where u, is the square of the residual for the " observation. He wants to test whether the grades obtained in the midterm exam have any effect on the grades obtained in the final exam or not. Which of the following are the null and the alternative hypotheses of the test the professor wishes to conduct? OA. Ho B1=0 vs. H B1 #0. Ho: B1=0 vs. H B, #0. O B. Ho B=D0.85 vs. H, B,#0.85. C. Ho BA #0 vs. HA B.=0. Click to select your answer(s). DAL Type here to search IIarrow_forwardThe Scholastic Aptitude Test (or SAT) is a standardized college entrance test that is used by colleges and universities as a means for making admission decisions. The critical reading and mathematics components of the SAT are reported on a scale from 200 to 800. Several universities believe these scores are strong predictors of an incoming student’s potential success, and they use these scores as important inputs when making admission decisions on potential freshman. The tile RugglesCollege contains freshman year GPA and the critical reading and mathematics SAT scores for a random sample of 200 students who recently completed their freshman year at Ruggles College. Develop an estimated multiple regression equation that includes critical reading and mathematics SAT scores as independent variables. How much variation in freshman GPA is explained by this model? Test whether each of the regression parameters β0, β1, and β2, is equal to zero at a 0.05 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? Using the multiple linear regression model you developed in part (a), what is the predicted freshman GPA of Bobby Engle, a student who has been admitted to Ruggles College with a 660 SAT score on critical reading and at a 630 SAT score on mathematics? The Ruggles College Director of Admissions believes that the relationship between a student’s scores on the critical reading component of the SAT and the student’s freshman GPA varies with the student’s score on the mathematics component of the SAT. Develop an estimated multiple regression equation that includes critical reading and mathematics SAT scores and their interaction as independent variables. How much variation in freshman GPA is explained by this model? Test whether each of the regression parameters β0, β1, β2, and β3 is equal to zero at a 0.05 level of significance. What are the correct interpretations of the estimated regression parameters? Do these results support the conjecture made by the Ruggles College Director of Admissions? Do you prefer the estimated regression model developed in part (a) or part (c)? Explain. What other factors could be included in the model as independent variables?arrow_forward
- Six employees of a marketing firm had effectiveness ratings as follows: 0.72, 0.46, 0.59, 0.64, 0.81 and 0.76. Find the probability of selecting an employee with the indicated effectiveness rating. a. Greater than 0.75. b. Less than 0.75 but greater than 0.5. c. Greater than the mean. d. Not less than 0.9.arrow_forwardThe mean score of a random sample of 22 student applicants who took the college entrance examination is calculated to be 76.9. The population variance is known to be 27.4. Find the 99% confidence interval for the mean of the entire student applicants.arrow_forwardPadma completed her doctoral degree and has taken a position as an assistant professor at a local university. She was given the following performance measures for her new position. Identify whether these goals are long or short term. Interact in a fair and impartial way with students. Promote and access student academic achievement. Counsel students within the norms of society and the regulations of the college. Motivate students. Effectively plan and organize lectures and labs in accordance with the college course outlines. Report class attendance in accordance with the college policy and procedure. Serve on academic committees as assigned. Make progress toward tenure necessary at her university.arrow_forward
- A marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the tile MktHrsPts. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points earned and hours spent studying? Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model? Test whether each of the regression parameters β0 and β1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the sample values of total point earned does the model you estimated in part (b) explain? Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part (b) to predict the total points Mark earned.arrow_forwardSuppose that the national average for the math portion of the College Boards SAT is 515. The College Board periodically rescales the test scores such that the standard deviation is approximately 100. Answer the following questions using a bell-shaped distribution and the empirical rule for the math test scores. a. What percentage of students have an SAT math score greater than 615? b. What percentage of students have an SAT math score greater than 715? c. What percentage of students have an SAT math score between 415 and 515? d. What is the z-score for student with an SAT math score of 620? e. What is the z-score for a student with an SAT math score of 405?arrow_forwardA sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and the following data were collected. a. Develop a scatter chart for these data. Does a linear relationship appear reasonable? Explain. b. Use the data to develop an estimated regression equation that could be used to predict the number of days absent given the distance to work. What is the estimated regression model? c. What is the 99% confidence interval for the regression parameter 1? Based on this interval, what conclusion can you make about the hypotheses that the regression parameter 1 is equal to zero? d. What is the 99% confidence interval for the regression parameter 0? Based on this interval, what conclusion can you make about the hypotheses that the regression parameter 0 is equal to zero? e. How much of the variation in the sample values of number of days absent does the model you estimated in part (b) explain?arrow_forward
- The percent frequency distributions of job satisfaction scores for a sample of information systems (IS) senior executives and middle managers are as follows. The scores range from a low of 1 (very dissatisfied) to a high of 5 (very satisfied). Develop a probability distribution for the job satisfaction score of a randomly selected senior executive. Develop a probability distribution for the job satisfaction score of a randomly selected middle manager. What is the probability that a randomly selected senior executive will report a job satisfaction score of 4 or 5? What is the probability that a randomly selected middle manager is very satisfied? Compare the overall job satisfaction of senior executives and middle managers.arrow_forwardThe Port Authority also wants to determine if the gender profile of its customers has changed since last year, when 59.4% of its orders placed were placed by males. The genders for a sample of 49,896 orders placed this year are collected and recorded in the file PortAuthority. a. Formulate hypotheses that can be used to test whether the proportion of orders placed by male customers this year differs from the proportion of orders placed by male customers placed last year. b. Use the data in the file PortAuthority to conduct your hypothesis test. What is the p value for your hypothesis test? At = 0.05, what is your conclusion?arrow_forwardPadma completed her doctoral degree and has taken a position as an assistant professor at a local university. She was given the following performance measures for her new position. Identify whether these goals are long or short term. A. Interact in a fair and impartial way with students. B. Promote and access student academic achievement. C. Counsel students within the norms of society and the regulations of the college. D. Motivate students. E. Effectively plan and organize lectures and labs in accordance with the college course outlines. F. Report class attendance in accordance with the college policy and procedure. G. Serve on academic committees as assigned. H. Make progress toward tenure necessary at her university.arrow_forward
- Essentials of Business Analytics (MindTap Course ...StatisticsISBN:9781305627734Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. AndersonPublisher:Cengage LearningManagerial AccountingAccountingISBN:9781337912020Author:Carl Warren, Ph.d. Cma William B. TaylerPublisher:South-Western College PubFinancial And Managerial AccountingAccountingISBN:9781337902663Author:WARREN, Carl S.Publisher:Cengage Learning,
- Essentials Of Business AnalyticsStatisticsISBN:9781285187273Author:Camm, Jeff.Publisher:Cengage Learning,Auditing: A Risk Based-Approach (MindTap Course L...AccountingISBN:9781337619455Author:Karla M Johnstone, Audrey A. Gramling, Larry E. RittenbergPublisher:Cengage LearningPrinciples of Accounting Volume 2AccountingISBN:9781947172609Author:OpenStaxPublisher:OpenStax College