GBS221 - Exam III Chapter 9-10-12-14 Exam III Data Set for Problems 20 to 24 Company Employees Revenue $mil Sprint Chase Manhattan Computer Sciences Wells Fargo Sunbeam CBS Time Warner Steelcase Georgia-Pacific Toro American Financial Fluor Phillips Petroleum Cardinal Health Borders Group MCI Worldcom Consolidated Edison IBP Super Value H&R Block 77,600 74,801 50,000 89,355 12,200 29,000 69,722 16,200 57,000 1,275 9,400 53,561 15,900 36,000 23,500 77,000 14,269 45,000 50,000 4,200 19,930 33,710 7,660 21,795 2,398 7,510 27,333 2,743 17,796 4,673 3,334 12,417 13,852 25,034 2,999 37,120 7,491 14,075 17,421 1,669 GBS221 - Exam III Chapter 9-10-12-14 Exam III Data Set for Problems 25 to 36 Sample # Defects 1 0 2 2 3 2 4 7 5 2 6 8 7 3 8 11 9 0 10 2 11 2 12 2 13 2 14 1 15 1 16 3 17 2 18 0 19 3 20 1 21 5 22 2 23 3 24 6 25 6 p = .02 44 42 45 40 44 41 40 54 48 45 43 44 41 40 42 46 47 44 46 48 40 42 46 47 44 Observations 49 44 46 51 45 49 39 42 51 53 44 43 44 46 49 48 47 44 51 42 46 49 50 49 39 38 39 44 41 45 45 42 44 43 46 50 52 51 43 45 39 40 39 42 41 46 45 47 44 44 44 51 49 42 53 43 46 48 44 42 49 49 38 44 45 40 42 46 47 44 46 48 40 42 46 40 42 46 47 44 46 48 40 42 46 47 44 44 44 44 44 51 49 42 53 43 46 48 44 42 GBS221: Chapter 14 Factors for x-bar and R Control Charts Observations in Sample 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 d2 1.128 1.693 2.059 2.326 2.534 2.704 2.847 2.970 3.078 3.173 3.258 3.336 3.407 3.472 3.532 3.588 3.640 3.689 3.735 3.778 3.819 3.858 3.895 3.931 A2 d3 D3 D4 1.880 1.023 0.729 0.577 0.483 0.419 0.373 0.337 0.308 0.285 0.266 0.249 0.235 0.223 0.212 0.203 0.194 0.187 0.180 0.173 0.167 0.162 0.157 0.153 0.853 0.888 0.880 0.864 0.848 0.833 0.820 0.808 0.797 0.787 0.778 0.770 0.763 0.756 0.750 0.744 0.739 0.734 0.729 0.724 0.720 0.716 0.712 0.708 0 0 0 0 0 0.076 0.136 0.184 0.223 0.256 0.283 0.307 0.328 0.347 0.363 0.378 0.391 0.403 0.415 0.425 0.434 0.443 0.451 0.459 3.267 2.574 2.282 2.114 2.004 1.924 1.864 1.816 1.777 1.744 1.717 1.693 1.672 1.653 1.637 1.622 1.608 1.597 1.585 1.575 1.566 1.557 1.548 1.541 x-bar Charts LCL = (x-bar-bar)-A2R-bar UCL = (x-bar-bar)+A2R-bar R-bar Charts LCL = R-bar * D3 UCL = R-bar * D4 Question 1 5 pts The entire system of policies, procedures, and guidelines established by an or quality engineering quality control quality assurance both a and b are correct Flag this Question Question 2 5 pts _____________________ consist(s) of making a series of inspections and measure Quality control both a and b are correct Quality engineering Quality assurance Flag this Question Question 3 5 pts Which of the following is not a type of attributes control chart? a C-Chart all of the above are not a type of attributes control chart an R Chart an CP Chart an x-bar Chart Flag this Question Question 4 5 pts A control chart used when output of a process is measured in terms of the me an x-bar Chart a p Chart an R Chart none of these answers is correct an np Chart Flag this Question Question 5 5 pts If the lower-control limit of a p Chart is negative: none of these answers is correct use the absolute value of the lowere limit a mistake has been made in the computations it is set to zero Flag this Question Question 6 5 pts A control chart that is used to monitor the number of defects in a sample is: none of these answers is correct a p Chart an np Chart an R Chart an x-bar Chart Flag this Question Question 7 5 pts The control limits for an np Chart are how many standard deviations above an four three one two Flag this Question Question 8 5 pts A statistical procedure in which the number of defective items found in a sam acceptance sampling none of these answers is correct control charts quality assurance statistical process control Flag this Question Question 9 5 pts An example of statistical inference is: descriptive statistics hypothesis testing population mean none of these answers is correct calculating the size of a sample Flag this Question Question 10 5 pts In hypothesis testing, the hypothesis tentatively assumed to be true is: the alternative hypothesis none of these answers is correct all of these answers are correct either the null or the alternative hypothesis the null hypothesis Flag this Question Question 11 5 pts In hypothesis testing, the alternative hypothesis is: all of these anwers are correct the hypothesis tentatively assumed true in the hypothesis-testing pr none of these answers is correct the hypothesis concluded to be true if the null hyothesis is rejected the maximum probabilty of a Type I error Flag this Question Question 12 5 pts A meteorologist stated that the average temperature during July in Chattanoo Ho: u < 80 Ha: u < 80 none of these answers is correct Ho: u < 80 Ha: u < 80 Ho: u = 80 Ha: u = 80 Ho: u < 80 Ha: u > 80 Flag this Question Question 13 5 pts A student believes that the average grade on the final examination in statistic Ho: u > 85 Ha: u < 85 Ho: u < 85 Ha: u > 85 none of these answers is correct Ho: u > 85 Ha: u < 85 Ho: u < 85 Ha: u > 85 Flag this Question Question 14 5 pts The average life expectancy of tires produced by the Whitney Tire Company h Ho: u < 40,000 Ha: u > 40,000 Ho: u > 40,000 Ha: u < 40,000 Ho: u < 40,000 Ha: u > 40,000 none of these answers is correct Ho: u > 40,000 Ha: u < 40,000 Flag this Question Question 15 5 pts A soft drink filling machine, when in perfect adjustment, fills the bottles with 1 Ho: u < 12 Ha: u < 12 Ho: u 12 Ha: u = 12 Ho: u < 12 Ha: u > 12 Ho: u = 12 Ha: u 12 Flag this Question Question 16 5 pts A sample of 81 account balances of a credit company showed an aver State the null and alternative hypothesis. Ho: u < 1,150 Ha: u > 1,150 Ho: u > 1,150 Ha: u < 1,150 Ho: u > 1,150 Ha: u > 1,150 Ho: u = 12 Ha: u 12 Flag this Question Question 17 5 pts A sample of 81 account balances of a credit company showed an aver What is the rejection rule? Reject Ho if z < (1.96) Reject Ho if z > 1.96 Reject Ho if z < (1.64) Reject Ho if z > 1.64 Flag this Question Question 18 5 pts A sample of 81 account balances of a credit company showed an aver Compute the value of the test statistic z. z = 0.397 z = (0.397) z = 3.57 z = (3.57) Flag this Question Question 19 5 pts A sample of 81 account balances of a credit company showed an aver What is the conclusion? Reject Ho. We are 5% confident that the mean balances of accounts Reject Ho. We are 95% confident that the mean balances of account Reject Ho. We are 95% confident that the mean balances of account Reject Ho. We are 5% confident that the mean balances of accounts Flag this Question Question 20 7 pts See Exam III Data Set. See Exhibit I data set for Problems 20 to 24. What is the estimated regression equation? y = 2.1109x + 10,645 y = 10,645x + 2.1109 y = 0.316x + 1,292 y = 1,292x + 0.316 Flag this Question Question 21 7 pts See Exam III Data Set. See Exhibit I data set for Problems 20 to 24. What is the value of the coefficient of determination? 0.668 -0.817 -0.668 0.817 Flag this Question Question 22 7 pts See Exam III Data Set. See Exhibit I data set for Problems 20 to 24. Evaluate the coefficient of determination. There appears to be an inverse linear relationship between the comp There appears to be an inverse linear relationship between the num There appears to be a positive linear relationship between the numb There appears to be a positive linear relationship between the comp Flag this Question Question 23 7 pts See Exam III Data Set. See Exhibit I data set for Problems 20 to 24. What is the estimated revenue ($ millions) of a company that employs 75,000 $168,962 $30,000 $24,992 $36,146 Flag this Question Question 24 7 pts See Exam III Data Set. See Exhibit I data set for Problems 20 to 24. Evaluate the correlation coefficient. 66.8% of the revenue is due to the number of employees a company 81.7% of the revenue is due to the number of employees a company The more employees, the more revenue The more revenue, the more employees are needed Flag this Question Question 25 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the x-bar Chart - Compute the value of x-bar. Flag this Question Question 26 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the x-bar Chart - Compute the Upper Control Limit. Flag this Question Question 27 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the x-bar Chart - Compute the Lower Control Limit. Flag this Question Question 28 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the R-bar Chart - Compute the value of R. Flag this Question Question 29 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the R-bar Chart - Compute the Upper Control Limit. Flag this Question Question 30 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the R-bar Chart - Compute the Lower Control Limit. Flag this Question Question 31 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the p Chart - Compute the value of p. Flag this Question Question 32 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the p Chart - Compute the Upper Control Limit. Flag this Question Question 33 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the p Chart - Compute the Lower Control Limit. Flag this Question Question 34 7 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 Consider the np Chart - Compute the value of np. Flag this Question Question 35 5 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the np Chart - Compute the Upper Control Limit. Flag this Question Question 36 5 pts See Exam III Data Set. See Exhibit II data set. Compute to 2 decimal Consider the np Chart - Compute the Lower Control Limit. nes established by an organization to achieve and maintain quality is called: nspections and measurements to determine whether quality standards are being met ol chart? ontrol chart ured in terms of the mean value of a variable such as a length, weight, temperature, defects in a sample is: ard deviations above and below the expected number of defects? ve items found in a sample is used to determine whether a lot should be accepted or med to be true is: he hypothesis-testing procedure ll hyothesis is rejected during July in Chattanooga was 80 degrees. A sample of 32 Julys was taken. The corr examination in statistics is at least 85. She plans on taking a sample to test her beli Whitney Tire Company has been 40,000 miles. Management believes that due to a ne nt, fills the bottles with 12 ounces of soft drink. Any over-filling or under-filling results pany showed an average balance of $1,200 with a standard deviation of $12 pany showed an average balance of $1,200 with a standard deviation of $12 pany showed an average balance of $1,200 with a standard deviation of $12 pany showed an average balance of $1,200 with a standard deviation of $12 an balances of accounts are significantly greater than $1,150. ean balances of accounts are significantly greater than $1,150. ean balances of accounts are significantly less than $1,150. an balances of accounts are significantly less than $1,150. Problems 20 to 24. Problems 20 to 24. Problems 20 to 24. nship between the company revenue and the number of employees nship between the number of employees and the company revenue ship between the number of employees and the company revenue ship between the company revenue and the number of employees Problems 20 to 24. ny that employs 75,000 people? Problems 20 to 24. f employees a company has. f employees a company has. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. set. Compute to 2 decimal places. Compute to 2 decimal places. Compute to 2 decimal places. ty is called: ndards are being met. weight, temperature, and so on is: ould be accepted or rejected is called: was taken. The correct set of hypothesises is: mple to test her belief. The correct set of hypothesises is: eves that due to a new production process, the life expectancy of its tires has increas r under-filling results in the shutdown and readjustment of the machine. To determine rd deviation of $126. You want to determine if the mean of all account bala rd deviation of $126. You want to determine if the mean of all account bala rd deviation of $126. You want to determine if the mean of all account bala rd deviation of $126. You want to determine if the mean of all account bala f its tires has increased. In order to test the validity of this belief, the correct set of hy achine. To determine whether or not the machine is properly adjusted, correct set of of all account balances is significantly different from last years average bala of all account balances is significantly different from last years average bala of all account balances is significantly different from last years average bala of all account balances is significantly different from last years average bala , the correct set of hypotheses is: usted, correct set of hypotheses is: years average balance of $1,150. Use a .05 level of significance. years average balance of $1,150. Use a .05 level of significance. years average balance of $1,150. Use a .05 level of significance. years average balance of $1,150. Use a .05 level of significance. \f