1. CHAPTER 1 REVIEW – MISCONCEPTIONS AND CLARIFICATIONS

2. STEM AND LEAF Create a stem and leaf for the data, then split stems.
It is OK to round data if you are creating a graphical display. We are only interested in a general shape of the data.
What 3 things must be addressed when describing a distribution?

3. HISTOGRAMS
What is a histogram?
How does it display data?

4. DETERMINING OUTLIERS
Use 1.5 x IQR to determine if a point is an outlier.
Good and bad box plots
Good…. Bad….

5. COMPUTING STANDARD DEVIATIONxi
1.4 .1
.01
2.2 .7
.49
1.1 .4
.16
1.6
1.2 .3
.09
What are deviations?
What is variance?
What does standard deviation tell us?

6. PERCENTILES AND OGIVES
What is meant by the 40% percentile?
What do you read on an ogive?