Statistics are used in data analysis to summarize characteristics of data (descriptive statistics) and to infer and draw conclusions from samples of data (inferential statistics).
Another important concept to consider relates to level of measurement. This concept often determines what types of calculations you can perform and what types of graphs and charts you should use to display data.
In the workforce composition analysis, descriptive statistics are employed to create a story about the composition of the workforce through numbers. In the online resources listed below, review the following concepts related to statistics as you prepare to work on the company’s workforce composition analysis.
Resources
- Measures of the Spread of the Data
- Histograms
- Chapter 1.1, 1.2, 1.3 Practice Tests and Solutions
- Frequency, Frequency Tables, and Levels of Measurement
- Sampling and Data
- Chapter 2 Introduction
- Stem-and- Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
- Measures of the Center of the Data
- Definitions of Statistics, Probability, and Key Terms
- Chapter 2 Practice Tests and Solutions
- Introductory Statistics Chapter 1: Introduction
Check Your Knowledge
At the end of each chapter is an exercise to check knowledge of the chapter content. You may use the exercises for practice. There are also practice tests for the chapter material at the end of the text, as well as the solutions.