AP Statistics
Chapter 1 Graphical Analysis
Unit 1-1 The Language of Variation
Outline
- Articulate the difference between categorical and numerical data.
- Articulate the difference between discrete and continuous random variables.
- Identify categorical data, numerical data, discrete variables, and continuous variables.
- Become fluent in the language of statistics.
- Assignment 1-1: Pg 22 #1-6
Unit 1-2 Representing Categorical Variables with Tables & Charts
Outline
- Interpret categorical data on a frequency distribution and bar chart.
- Construct a bar chart.
- Identify and interpret limitations of different methods of displaying categorical data.
- Assignment 1-2: Pg. 34 #1, 3, 4, 6
Unit 1-3 Representing Quantitative Variables with Graphs
Outline
- Identify continuous and discrete variables.
- Identify the different ways of displaying quantitative data.
- Construct a stem-and-leaf plot.
- Construct a dotplot.
- Construct a histogram.
- Assignment 1-3: Pg 53 #1-6
Unit 1-4 Describing the Distribution of a Quatitative Variable
Outline
- Identify features of datasets
- Describe distributions for qualitative variables using statistical language.
- Describe histograms, dotplots, and stem-and-leaf displays using Shape, Outliers,
Center, and Spread (“SOCS”).
- Assignment 1-4: Pg. 65 #1-5, 7
Unit 1-5 Summary Statistics for a Quantitative Variable and Graphical Representations
Outline
- Represent a dataset with a “box-and-whisker” plot (also known as a “boxplot”)
- Calculate mean, median, Q1, Q3, interquartile range, and outliers.
- Make a 5 number summary for a boxplot
- Assignment 1-5: Pg. 80 #1-6
Unit 1-6 Introduction to the Normal Distribution and the Empirical Rule
Outline
- Calculate deviations and standard deviations.
- Sketch a normal distribution curve.
- Apply the empirical rule to normally distributed datasets.
- Calculate z-scores and percentiles.
- Assignment 1-6: Pg 95 #1-5
test
Unit 1-7 Comparing Distributions of a Quantitative Variable
Outline
- Use histograms, boxplots, and stem-and-leaf displays to compare two sets of independent data.
- Compare independent datasets using mean, standard deviation, IQR, or median.
- Assignment 1-7: Pg. 102 #1, 3, 4