________ is a representation of reality or a real-life situation

1. A(n) ________ is a representation of reality or a real-life situation. (Points : 2) objective model analysis algorithm Question 2. 2. The degree of flatness or peakedness of a population is measured by the ________. (Points : 2) coefficient of kurtosis coefficient of skewness coefficient of variation coefficient of deviation Question 3. 3. Salary would be an example of ________ data. (Points : 2) nominal ordinal interval ratio Question 4. 4. Outcomes such as communication effectiveness, environmental and regulatory compliance, and organizational citizenship would be considered ________ outcomes. (Points : 2) customer-focused workforce-focused financial and market leadership and governance Question 5. 5. Which of the following is true of outliers in a data set? (Points : 2) All outliers should be eliminated in order to portray accurate information. Outliers that are within 1 standard deviation of the mean must be eliminated. The mean and range are sensitive to outliers in the data. Outliers do not make any difference in the results obtained from statistical analyses. Question 6. 6. Which of the following coefficients of skewness values has the lowest degree of skewness? (Points : 2) 1 1.1 0.5 0.05 Question 7. 7. Which of the following functions is used to find the smallest value in a range of cells using Microsoft Excel? (Points : 2) MAX(range) MIN(range) SUM(range) AVERAGE(range) Question 8. 8. The midrange for a data set containing all the values between 50 and 67 is ________. (Points : 2) 67 58.5 50 -17 Question 9. 9. Data for a particular subdivision near downtown Houston indicate that the average price per square foot for a home is $100 with a standard deviation of $5 (normally distributed). What is the probability that the average price per square foot for a home is less than $85? (Points : 2) 0.001 0.999 0.618 0.382 Question 10. 10. If P(A) = 0.3, P(B) = 0.2, P(Aand B) = 0.0 , what can be said about events A and B? (Points : 2) They are independent. They are mutually exclusive. They are posterior probabilities. None of the above Question 11. 11. At a university with 1,000 business majors, there are 200 business students enrolled in an introductory statistics course. Of these 200, 50 are also enrolled in an introductory accounting course. There are an additional 250 business students enrolled in accounting but not enrolled in statistics. If a business student is selected at random, what is the probability that the student is enrolled in neither accounting nor statistics? (Points : 2) 0.45 0.50 0.55 0.05 Question 12. 12. Colonel Motors (an automobile company) has prepared a marketing campaign for its best-selling car. The focus of the campaign is quality, and it is claimed that 97 % of the purchasers of this car have no complaints in the first year. You and your sister Kim have each purchased one of these cars. What is the probability that exactly one of you has a complaint about the car in the first year if the advertising claim is true? (Points : 2) 0.0301 0.0582 0.9730 1.0000 Question 13. 13. A ________ is a numerical statement about the likelihood that an event will occur. (Points : 2) mutually exclusive construct collectively exhaustive construct variance probability Question 14. 14. A company’s Board of Trustees had 18 members. Three members serve as the Board’s Executive Committee of Chair, Vice-Chair, and Secretary. Each member of the Board of Trustees is equally likely to serve any of the positions on the Executive Committee. How many ways can the three positions be filled? (Points : 2) 54 540 2,816 4,896 Question 15. 15. At a university with 1,000 business majors, there are 200 business students enrolled in an introductory statistics course. Of these 200 students, 50 are also enrolled in an introductory accounting course. There are an additional 250 business students enrolled in accounting but not enrolled in statistics. If a business student is selected at random, what is the probability that the student is enrolled in accounting? (Points : 2) 0.20 0.25 0.30 0.50 Question 16. 16. The time required to complete a project is normally distributed with a mean of 80 weeks and a standard deviation of 10 weeks. The construction company must pay a penalty if the project is not finished by the due date in the contract. If a construction company bidding on this contract wishes to be 90 % sure of finishing by the due date, what due date (project week

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