Business Research Project Part 5
Learning Team
QNT 561
September 08, 2014

Business Statistical Analysis Scenario A GMC manager recently noticed that there is a production difference between the early shift and the late shift. The manager would like to determine why there is a difference in production between the shifts and asked for research on the issue. The research team came up with the following research question: Is there a reason for the different production levels between the day and evening shifts. Our team has come up with the following two null hypotheses: H0 - There is a significant difference in employee productivity between shifts due to worker age. Ha - There is no significant difference in employee productivity between shifts due to worker age. In order to accomplish this, we need to find the average number of errors along with the standard deviation. By doing so, we can set up a confidence interval to see if the late shift is truly doing better when it comes to quality. If they are, we can make the nomination that the manager has the late shift supervisors provide guidance to the early shift supervisors. There are various statistical reports that outsource the relationship between the independent variable(s) and the dependent variable. Here we will realize how GMC will translate the organization problem into a statistical problem, provide a solution to the problem statistically, and then translate the statistical solution into an actionable solution for the company.
Literature Review General Motors realized that to stay competitive a number of changes would have to be made starting with production efforts. Based on economic uncertainty and gas price volatility, adjustments were made to accommodate the needs of the population interested in purchasing vehicles during times of uncertainty. After the fall of the