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
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MANAGERIAL ACCOUNTING F/MGRS.
- 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_forwardIn this chapter we showed how a simple random sample of 30 EAI employees can be used to develop point estimates of the population mean annual salary, the population standard deviation for annual salary, and the population proportion having completed the management training program. a. Use Excel to select a simple random sample of 50 EAI employees. b. Develop a point estimate of the mean annual salary. c. Develop a point estimate of the population standard deviation for annual salary. d. Develop a point estimate of the population proportion having completed the management training program.arrow_forwardThe accompanying data provides the results of a survey of 27 employees in a tax division of a Fortune 100 company. a. Test the null hypothesis that the average number of years of service is the same for males and females. Assume that the population variances are unequal. b. Test the null hypothesis that the average years of undergraduate study is the same for males and females. Assume that the population variances are unequal Click the icon to view the survey data. a. Is there sufficient evidence at the 0.01 level of significance that the average number of years of service is the same for males and females? Determine the null hypothesis, H. and the alternative hypothesis. H Let females be population 1 and males be population 2 Ho H1 H2 = 0 HH-H # 0 (Type integers or decimals. Do not round.) Compute the test statistic (Round to two decimal places as needed.) Survey data Gender Years of Service Years Undergraduate Study Gender Years of Service Years Undergraduate Study Female 18 4 Male 6…arrow_forward
- The accompanying data provides the results of a survey of 27 employees in a tax division of a Fortune 100 company. a. Test the null hypothesis that the average number of years of service is the same for males and females. Assume that the population variances are unequal. b. Test the null hypothesis that the average years of undergraduate study is the same for males and females. Assume that the population variances are unequal. Click the icon to view the survey data. a. Is there sufficient evidence at the 0.01 level of significance that the average number of years of service is the same for males and females? Determine the null hypothesis, Ho, and the alternative hypothesis, H₁. Let females be population 1 and males be population 2. Ho P-P2 H₁: P₁ - H = 0 (Type integers or decimals. Do not round.) Compute the test statistic. - 3.65 (Round to two decimal places as needed.) Find the p-value for the test. (Round to three decimal places as needed.)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
- The mean height of women in a country (ages 20−29) is 63.9 inches. A random sample of 60 women in this age group is selected. What is the probability that the mean height for the sample is greater than 65 inches? Assume σ=2.84. The probability that the mean height for the sample is greater than 65 inches is nothing.arrow_forwardMarivic is interested in the effect of playing puzzle games on academic achievement. She devised a scale that measures how often an individual plays puzzle games such as Sudoku, and uses student GPA has a measure of academic achievement. She finds that the correlation between the two variables is 0.40 and has a regression coefficient of 0.25. What is the percentage of variation in academic achievement accounted for by playing puzzle games?arrow_forwardUsing the variable "Accounting Literacy," provide a five different title for a correlational study. Consider including a further variable that will help the title to be a correlational study. Ensure that only college students-specifically, accounting students-were required to participate as respondents in the study.arrow_forward
- The following data consist of the present school enrollment of the Dr. Vesse High School. A study on the recent teaching strategies will be conducted in this school. How many samples should the researcher take if she will use 1% margin of error? Year Level Population Size First Second Third Fourth 150 185 220 245 751 761 741 8.arrow_forwardA 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_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 LearningPrinciples of Accounting Volume 2AccountingISBN:9781947172609Author:OpenStaxPublisher:OpenStax College