Utility & Considerations Regarding Minitab Essay

605 words - 3 pages

Utility and Considerations Regarding Minitab

Utility and Considerations Regarding Minitab
Statistical variability is a component that reduces the ability of a researcher to detect statistical significance from a sample or population observations. In nearly all statistical studies, one of the key targets of researchers is normally to detect and reduce any variations in the observations. Statistical variability which is detectable through a set of statistics like the range, interquartile range and standard deviation computed from Minitab. Statistical variability therefore is inherent in research studies as it tries to eliminate all other variations sources: it is targeted at elimination both the extraneous variation and simple/non-assignable variation sources.
Variability analysis in Minitab’s Design Experiment is an analysis toolkit that the statisticians use to detect or identify the factor settings which could result ...view middle of the document...

Assuming we have two pizza companies. The two have delivery times both at 20 minutes from the restaurants to customer premises. If they both have an average delivery time of 20 minutes, one will have to direct to studying the two pizza delivery restaurants’ variability to select on the best and reliable restaurant. Assuming both have average time at 20 minutes, we shift to the commonly known measure of variability: standard deviations, each at 5 minutes and 10 minutes respectively.
Assessing variability and nature of the two delivery restaurants, we make a plot of normal probability distribution. From the data, the plot of the industry with the highest standard deviation describes a higher variability or spread of the two tails than the pizza delivery restaurant with a delivery time standard deviation of 5 minutes that has a steeper normal probability plot. A third case with moderate variability would be a research scenario within an agricultural field and minimal set of variation factors. Randomization and replications in such kind of an experiment are the key toolkits to minimizing the variability settings factors.
Variability in a research study has greater influence in the outcomes of any experiment. A key area where most people tend to apply variability is n determination of statistical power and sample size. Result variability reduces the detection of statistical significance. It is therefore an important tool in influencing outcomes in any research study.
In summary, selection of sample size will have a significant influence on the survey outcomes and reliability on the measure of variation. In other words, we need to increase sample size in order to increase precision and accuracy of the sample parameters. Large sample size reduces variability and hence influencing the outcomes of research study. It makes one to assume that most of his or her research finding outcomes will lie within the defined observation range depending on variability of the sample data.

Langston, W. (2011). Research methods laboratory manual for psychology.
Jim Frost (2011, November 9). Assessing Variability for Quality Improvement: The Minitab Blog. Retrieved from http://blog.minitab.com/blog/adventures-in-statistics/assessing-variability-for-quality-improvement.

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