AP Statistics 2017

(Marvins-Underground-K-12) #1

CHAPTER 6


One-Variable Data Analysis


IN THIS CHAPTER

Summary: We begin our study of statistics by considering distributions of data collected on a single
variable. This will have both graphical and analytical components and is often referred to as exploratory
data analysis (EDA). “Seeing” the data can often help us understand it and, to that end, we will look at a
variety of graphs that display the data. Following that, we will consider a range of numerical measures
for center and spread that help describe the dataset. When we are finished, we will be able to describe a
dataset in terms of its shape , its center , and its spread (variability). We will consider both ways to
describe the whole dataset and ways to describe individual terms within the dataset. A very important
one-variable distribution, the normal distribution, will be considered in some detail.


Key Ideas


Shape   of  a   Distribution
Dotplot
Stemplot
Histogram
Measures of Center
Measures of Spread
Five-Number Summary
Boxplot
z -Score
Density Curve
Normal Distribution
The 68-95-99.7 Rule
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