Question: Problem Set #3 (Chapter 4, 14 points): a. Worksheet Problem 3a contains defects (per million items received from suppliers). Utilizing the Descriptive Statistics tool in

Problem Set #3 (Chapter 4, 14 points): a.

Problem Set #3 (Chapter 4, 14 points): a.

Problem Set #3 (Chapter 4, 14 points): a. Worksheet Problem 3a contains defects (per million items received from suppliers). Utilizing the Descriptive Statistics tool in the Data Analysis Toolpack. generate descriptive statistics for years 2017 and 2018. Include labels in your range and all summary statistics. Locate your results roughly in the range 16:L20. Change the numeric format of all summary statistics to 0.0 except for Count. Answer the four (4) questions below the data. b. Utilizing the worksheet Problem 2a, use the CORRELQ sample correlation coefficient function to compute the correlation coefficient between variables Overall Service and Satisfaction Level. Locate the function in cell K3. H J K L L M LOCATE SUMMARY STATISTICS BELOW B C D E F 1 Problem Ba 2 3 Defects After Delivery 4 5 Defects per million items received from suppliers 6 Month 2014 2015 2016 2017 2018 7 January 812 828 824 682 571 8 February 810 832 836 695 575 9 March 813 847 818 692 547 10 April 823 839 825 686 542 11 May 832 832 804 673 532 12 June 848 840 812 681 496 13 July 837 849 806 696 472 14 August 831 857 798 688 460 15 September 827 839 804 671 441 16 October 838 842 713 645 445 17 November 826 828 705 617 438 18 December 819 816 686 603 436 19 20 21 Questions: 22 1 Between 2017 & 2018, mean defects per month fell by how much? 23 2 Which year's data are the most varied? 24 3 Which year's data are relatively symmetric? 25 4 Which year has the greated number of defects? 26 27 28 29 30 31 32 ANSWERS

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