errors leading to Dockomo's current problem. If it helps, Vinod might be able to leave the SKUs with normal distributions alone, like the Cr106, Cr137, and Cr108. Otherwise, forecasting will help create a more effective supply chain distribution to meet the targeted service delivery goals. Exhibit 6 also shows that the percentage of stockouts does not vary overly much between the categories (V, M, S, and VS). This suggests that forecasting is needed for all categories and not just a few. In 2010, the company recorded a forecasting error of 70% for the top 5% of items, the ones contributing to the majority of their revenue and profit… Continue Reading...
of populations are the same. Secondly, the response variable residuals follow a normal distribution and lastly, the responses for a particular group are independent and they are also random variables that are normally distributed and are identical (Weiers, 2010). The analysis will seek to analyze the F-Statistic. Basically, this is the figure that is attained subsequent to conducting a regression analysis or subsequent to running an ANOVA test. This is purposed to ascertain whether the means of two populations are substantially different (Weiers, 2010).
Specifically, this research study will use multiple regression analysis. This is because there are different sets of variables.… Continue Reading...
method of data analysis. A t-test is best used when the researcher wants to determine deviations from a normal distribution curve. If there are one or more normal distributions (bell curves), t he researcher can compare the two groups using the t-test method. The variances do not need to be known to perform a t-test either, which is another reason why I would select this method of data analysis in my particular research question. Furthermore, the researcher can use the t-test to measure the differences between two populations regardless of how small or large the sample size. The t-test, also known as the student t-test, is one of… Continue Reading...
