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Discussion Questions Week 5 - Essay Example

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Having a position in a meat processing plant where quality is always a consideration to satisfy the company’s clients, I think the most important concept that I have learned from this Business Statistics class for the past five weeks is the examination of small population…
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Discussion Questions Week 5
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Running Head: DISCUSSION QUESTIONS WEEK 5 Discussion Questions Week 5 In APA Style By Question Discuss one concept that you have learned over the past 5 weeks that you can or will apply in your everyday life. Having a position in a meat processing plant where quality is always a consideration to satisfy the company’s clients, I think the most important concept that I have learned from this Business Statistics class for the past five weeks is the examination of small population which have non-standard distribution.

In our day to day operation, quality is often checked by looking at a sample of meat processed which ranges from 100-300 observations. Even though these observations are often generated randomly, they are often follow a non-standard distribution. Thus, in order to evaluate whether the quality of the product (which is often equated with the chemical content, presentation, and packaging) is met, knowledge of the statistical concepts and their application is crucial. I must admit that without attending this class, I will remain ignorant of the use of statistics in addressing the concerns.

Equipped with the knowledge and skill taught by my professor, I am confident to use the methods in ensuring that our meat processing plant will be successful in marketing high quality products by an everyday evaluation of whether quality goals are met. Question 2: Discuss the basic principles of regression analysis. Present an example of when it can be used to analyze a problem at your organization Regression analysis is a important statistical tool which is used to identify the relationship between variables.

In conducting regression analysis, one needs to be aware of its basic principles and considerations. First, the sample from where the inference prediction is to be generated must be a representative of the population. It should be noted that this assumption is almost always a requirement for statistical tests. Secondly, the dependent variable is subject to error which is assumed to be a random variable having a standard distribution. On the other hand, the independent variable is error free and the predictors should be linearly correlated.

In the meat processing plant where I work, regression analysis can be utilized in order for the management to know the relationship between the group of employees working for the meat processing plant and product quality. It should be noted that in my company there are two groups manning the 12-hour operation. Each of these groups takes 6 hours which is the amount of time needed for one batch of processing. Product of quality can be measured through the number of rejects and those which did not pass quality control.

This regression analysis can point out if any of the group performs better and can help the management to reward and motivate employees.

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