Preface
1 Introduction
2 Data
- 2.1 Dates and Time Series
3 Describing Categorical Data
- 3.1 Analytics in R: Rolling over
- 3.2 Analytics in R: Selling smartphones
4 Describing Numerical Data
- 4.1 Analytics in R: Making M&Ms
- 4.2 Analytics in R: Executive Compensation
5 Association between Categorical Variables
6 Association between Numerical Variables
- 6.1 Analytics in R: Locating a new store
7 Probability
8 Conditional Probability
9 Random Variables
10 Association of Random Variables
11 Probability Models for Counts
- 11.1 Analytics in R: Focus on Sales
- 11.2 Analytics in R: Defects in Semiconductors
12 The Normal Probability Model
13 Samples and Surveys
14 Sampling Variation and Quality Control
- 14.1 Analytics in R: Monitoring a Call Center
  - 14.1.1 Using the qcc package
15 Confidence Intervals
- 15.1 Analytics in R: Property Taxes
- 15.2 Analytics in R: A Political Poll
16 Statistical Tests
- 16.1 Analytics in R: Do Enough Households Watch
- 16.2 Analytics in R: Comparing Returns on Investments
17 Comparison
18 Inference for Counts
19 Linear Patterns
- 19.1 Analytics in R: Estimating Consumption
- 19.2 Analytics in R: Lease Costs
20 Curved Patterns
- 20.1 Analytics in R: Optimal Pricing
21 The Simple Regression Model
- 21.1 Analytics in R: Locating a Franchise Outlet
- 21.2 Analytics in R: Climate Change
22 Regression Diagnostics
- 22.1 Analytics in R: Estimating Home Prices
- 22.2 Analytics in R: Cell Phone Subscribers
23 Multiple Regression
- 23.1 Analytics in R: Subprime Mortgages
- 23.2 Plotting a regression model
24 Building Regression Models
- 24.1 Analytics in R: Market Segmentation
- 24.2 Analytics in R: Retail Profits
25 Categorical Explanatory Variables
- 25.1 Analytics in R: Priming in Advertising
26 Analysis of Variance
- 26.1 Analytics in R: Judging the Credibility of Advertisements
27 Time Series
References

An R-companion for Statistics for Business: Decision Making and Analysis

7 Probability

There are no Analytics cases in this chapter. You can use R rather than a regular calculator, but there’s no data manipulation here.