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

Data Analysis: Making Sense of Data

Section 1.1-Analyzing Categorical Data

Section 1.2-Displaying Quantitative Data with Graphs

Section 1.3-Describing Quantitative Data with Numbers

Exercises

Section 1.1

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

Section 1.2

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

Section 1.3

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.

Links