Reference no: EM131849489

Discussion ( 150 words and sources and References) ( this is what need to be done)

Reflect on your research intentions and a variable which may be potentially of interest to you. Please describe this variable and how you may measure it (e.g., which sample will you approach). Then explain whether you expect it to be normally distributed and the logic for your assumption.

If you expect a deviation from normality, please explain how you may deal with it. You may search external sources for addressing the last point.

In this module we use the language and knowledge we acquired in the previous module and start talking about basic statistical measures, which allow us to understand the data we collect. Before we run inferential analyses, we need to be able to describe the data and understand its qualities.

For these purposes, we will discuss the concepts and applications of frequency distribution, shapes of distributions, skewness and kurtosis measures, and measures of central tendency (mean, mode, median), measures of dispersion (standard deviation, variance and range). We will then discuss when to use which measure and emphasize the advantages of using well-validated existing scales when they exist.

Finally, we will discuss one of the most important distributions in management research, namely the normal distribution which is the basis for most statistical techniques we will in this course and beyond. In this context, we will also discuss z-scores, probability distribution and percentiles.