Now, here are my personal recommendations.
So, we left the discussion of Descriptive Statistics to blogging! We commonly use statistics in HR as you will see through this blog (I hope). Statistics provides an indicator of variation around "central tendency" values.
Blog back and tell me what you think that means.
To understand Descriptive Statistics we need to look at a few words.
Range is the distance between highest and lowest scores. Percentile is the specific point that has a given percentage of cases below it and the standard deviation is how much scores are spread out around a mean.
In what aspect of HR do we commonly look at range?
Measures of Association - Correlation - shows the relationship between two variables.
What are variables?
Measures of Association - Regression - refers to the effect of one variable to the other. If two variables are related and one changes, the second will change. This relationship is represented by a regression equation. Regression equation is used to construct a regression line (usually a straight line) on a scattergram. (You can find a sample of a scattergram in most Excel programs).
When might HR use a regression analysis?
Inferential Statistics - form a conclusion by studying a sample of the population. Population is the entire group (all employees). A sample would be part of the employees (20 randomly chosen employees).
Normal distribution is the expected distribution given a random sampling of a large population.
For what purpose would we (HR) use inferential statistics?