# Chapter 1 Homework (Starnes, Yates & Moore, 4th edition)

## Exercises

1 (p. 7)
3
5
7
8
7
11 (p. 22)
13
17
19
27-32(MC)
33

37 (p. 42)
49
63
69-74 (MC)
76

79 (p. 70)
81
91
103
107-110 (MC)
113

### Chapter Review

R1.1-9 odd (p. 75)
Textbook online quiz and Webwork
Optional: Practice Test

## Terms

Individuals, Categorical and Quatitive variables, distribution, center, spread, normal distribution, geometric distribution, histogram, stem plots, time plot, box plot symetric skewed outlier center spread and shape of a distribution, 5 number summary, mean, standard deviation, median, Q1, Q3, IQR

## Skills

SectionTopicObjectiveVideo
1.1
• Bar Graphs and Pie Charts
• Graphs: Good and Bad
• Two-Way Tables and Marginal Distributions
• Relationships Between Categorical Variables: Conditional Distributions
• Organizing a Statistical Problem
• Identify the individuals and variables in a set of data
• Classify variables as categorical or quantitative
• Identify units of measurement for a quantitative variable.
• Make a bar graph of the distribution of a categorical variable
• compare related quantities
• Recognize when a pie chart can and cannot be used
• Identify what makes some graphs deceptive
• From a two-way table of counts
• answer questions involving marginal and conditional distributions
• Describe the relationship between two categorical variables by computing appropriate conditional distributions
• Construct bar graphs to display the relationship between two categorical variables.
1.2
• Dotplots
• Describing Shape
• Comparing Distributions
• Stemplots
• Histograms
• Using Histograms Wisely
• Make a dotplot or stemplot to display small sets of data
• Describe the overall pattern (shape, center, spread) of a distribution and identify any major departures from the pattern (like outliers)
• Identify the shape of a distribution from a dotplot, stemplot, or histogram as roughly symmetric or skewed
• Identify the number of modes
• Make a histogram with a reasonable choice of classes
1.3
• Measuring Center: Mean and Median
• Comparing Mean and Median
• Measuring Spread: IQR
• Identifying Outliers
• Five Number Summary and Boxplots
• Measuring Spread: Standard Deviation
• Choosing Measures of Center and Spread
• Calculate and interpret measures of center (mean, median)
• Calculate and interpret measures of spread (IQR)
• Identify outliers using the 1.5 x IQR rule.Make a boxplot.
• Calculate and interpret measures of spread (standard deviation)
• Select appropriate measures of center and spread
• Use appropriate graphs and numerical summaries to compare distributions of quantitative variables.