Descriptive Statistics and Test of Hypothesis John Jimland is the manager of a manufacturing facility that produces small machinery. While the machines are expected to function normally, occasional; malfunctions lead to claims for damaged goods. There are different types of claims: Claims due to corrosion, wiring, or malfunction. John would like to explain whether there are differences in the amount of money for claims due either to fatigued workers or managerial supervision effectiveness at different locations. The facility had always kept monthly production records, but from what John could tell, no one ever consulted them or did anything with them other than to put them in file cabinets at the end of each reporting period. He thought that in principle he should be able to monitor production claims and identify the source of differences if any in the number of money claims. Accordingly, he extracted more than two years or 109 weeks of claims by customers Assignment: Can you identify and list all the issues that John needs to address? Calculate the Mean and Standard Deviation of the Amount of money for Claims by (1) Shift and (2) Locations Use the method of hypothesis testing to resolve the question of whether there are differences in the amount of money for claims either by shift or by location or both. Present your conclusions in a report. Please be sure to present tables or charts for the Average amount of money claimed by location and by shift. Data Definitions: (1) OBS = Machine ID Number (2) LOC=Location (3) Code = type of Claim (4) SHIFT = Day or night shift Code for Shift When Code = 1 ==>Day Shift Code = 2 ==> Night Shift Code for Location Code = 1 ==> Brooklyn Code = 2 ==> Queens
Descriptive Statistics and Test of Hypothesis John Jimland is the manager of a manufacturing facility that produces small machinery. While the machines are expected to function normally, occasional; malfunctions lead to claims for damaged goods. There are different types of claims: Claims due to corrosion, wiring, or malfunction. John would like to explain whether there are differences in the amount of money for claims due either to fatigued workers or managerial supervision effectiveness at different locations. The facility had always kept monthly production records, but from what John could tell, no one ever consulted them or did anything with them other than to put them in file cabinets at the end of each reporting period. He thought that in principle he should be able to monitor production claims and identify the source of differences if any in the number of money claims. Accordingly, he extracted more than two years or 109 weeks of claims by customers Assignment: Can you identify and list all the issues that John needs to address? Calculate the Mean and Standard Deviation of the Amount of money for Claims by (1) Shift and (2) Locations Use the method of hypothesis testing to resolve the question of whether there are differences in the amount of money for claims either by shift or by location or both. Present your conclusions in a report. Please be sure to present tables or charts for the Average amount of money claimed by location and by shift. Data Definitions: (1) OBS = Machine ID Number (2) LOC=Location (3) Code = type of Claim (4) SHIFT = Day or night shift Code for Shift When Code = 1 ==>Day Shift Code = 2 ==> Night Shift Code for Location Code = 1 ==> Brooklyn Code = 2 ==> Queens
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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John Jimland is the manager of a manufacturing facility that produces small machinery. While the machines are expected to function normally, occasional; malfunctions lead to claims for damaged goods. There are different types of claims: Claims due to corrosion, wiring, or malfunction. John would like to explain whether there are differences in the amount of money for claims due either to fatigued workers or managerial supervision effectiveness at different locations.
The facility had always kept monthly production records, but from what John could tell, no one ever consulted them or did anything with them other than to put them in file cabinets at the end of each reporting period. He thought that in principle he should be able to monitor production claims and identify the source of differences if any in the number of money claims. Accordingly, he extracted more than two years or 109 weeks of claims by customers
Assignment:
- Can you identify and list all the issues that John needs to address?
- Calculate the Mean and Standard Deviation of the Amount of money for Claims by (1) Shift and (2) Locations
- Use the method of hypothesis testing to resolve the question of whether there are differences in the amount of money for claims either by shift or by location or both.
- Present your conclusions in a report. Please be sure to present tables or charts for the Average amount of money claimed by location and by shift.
Data Definitions: (1) OBS = Machine ID Number (2) LOC=Location (3) Code = type of Claim (4) SHIFT = Day or night shift
Code for Shift When Code = 1 ==>Day Shift Code = 2 ==> Night Shift
Code for Location Code = 1 ==> Brooklyn Code = 2 ==> Queens
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