Principles of Statistics
Learning Outcomes
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What’s Included
Introduction to Statistics
Introduction to Statistics
This lesson will define statistics, including the difference between descriptive and inferential statistics. It will also outline the contents of this course.
Averages - Mean, Median, and Mode
Averages - Mean, Median, and Mode
The average is perhaps the single most important statistic you can calculate for a data set. This lesson explains how to calculate the three different kinds of average, using a simple data set as an example.
Variance and Standard Deviation
Variance and Standard Deviation
The variance and standard deviation help you measure how dispersed, or spread out, your data is. This lesson explains how to calculate these two statistics.
Percentiles and Quartiles:
Percentiles and Quartiles:
Percentiles and quartiles provide a method of understanding the distribution of your data that can be related to the data itself. We'll see how to calculate these metrics in this lesson.
Creating Data Bins
Creating Data Bins
Dividing data into bins allows you to create frequency distribution tables and histograms. This lesson will explain the concepts of data bins and the principles to consider when creating bins for your data.
Discrete and Continuous Data
Discrete and Continuous Data
Data can be classified as continuous or discrete. In this lesson, we'll explain these concepts, and learn about examples of both types of data.
Correlation
Correlation
Correlation measures the strength of the relationship between two variables. In this lesson, we'll explain the concept of correlation and learn how to calculate the correlation coefficient.
Data Distributions
Data Distributions
Data distributions are a valuable tool in understanding your data and predicting new data. In this lesson, we'll introduce some common data distributions, including the important normal distribution.
Z-Scores
Z-Scores
Z-Scores can be used to compare values from normal distributions. This lesson will explain how to calculate them and demonstrate an example of when to use them.
Populations and Samples
Populations and Samples
In this lesson, we'll explain the difference between a statistical sample and a population, and why this is important when you're working with statistics.
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