About This Chapter
Additional Topics: Standard Deviation - Chapter Summary
Standard deviation is a key component to most statistics. The lesson videos in this chapter discuss how to calculate standard deviation for both samples and populations as well as how standard deviations are represented on a normal curve. After watching the videos in this chapter you should be able to answer questions regarding the:
- Formula used to calculate standard deviation
- Deference between population and sample variances
- Properties and characteristics of a normal distribution
These lesson videos are taught by professional instructors who are available to answer any questions you may have on standard deviation. To help you master the material, this chapter also has lesson worksheets and quizzes. Use the results from your quizzes to determine areas of weakness, and fortify those areas by going back to main points of the videos using the video tags in the timeline. If you need an alternative way of reviewing the material, read over the written lesson transcripts.
1. Calculating the Standard Deviation
In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.
2. Population & Sample Variance: Definition, Formula & Examples
Population and sample variance can help you describe and analyze data beyond the mean of the data set. In this lesson, learn the differences between population and sample variance.
3. Normal Distribution: Definition, Properties, Characteristics & Example
In this lesson, we will look at the Normal Distribution, more commonly known as the Bell Curve. We'll look at some of its fascinating properties and learn why it is one of the most important distributions in the study of data.
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