## Topic outline

- INTRODUCTION TO STATISTICS
- Resources
### Resources

Available ResourcesThe following are resources that you may find helpful as you travel through this course. A description is given for each. - What is statistics?
- Collecting data
- How do you collect a simple random sample?
- Graphical displays of data - Histograms
- Graphical displays of data - Stemplots
- Numerical Descriptions of data - Mean and Median
### Numerical Descriptions of data - Mean and Median

Mean is also known as average, which you are probably more familiar with. Median is your middle value, similar to the median of a highway being in the middle of the roads. - Numerical Descriptions of data - Standard Deviation
### Numerical Descriptions of data - Standard Deviation

Standard deviation shows the variation or spread of a set of data. For a single set of data it may not show us a whole lot. It is very useful though in comparing sets of data. Such as a comparison of test scores of males versus females. We can tell which group has scores that are more spread out and then explore why one groups scores varied more than the others.

- Numerical Descriptions of data - Boxplots
- Numerical Descriptions of data - Outliers
### Numerical Descriptions of data - Outliers

In this section we will look at how to determine if any of our observations are outliers. Outliers can affect many of our measures, but primarily our mean. If there is an outlier, our mean gets pulled towards it. For example, if a basketball player averages 8 points per game and scores 30 points in a game, his new average will rise considerably due to the outlying value.

- Misleading statistics
### Misleading statistics

Statistics can be displayed in a manner to show what we want. All we need to do is adjust our scales or axis. Many times the media will do this to make the data appear in a way that they would like so that they can try to convince us about a certain situation they are trying to convey.

- Alignment document