CHAPTER 4 Discrete Random Variables
4.1 4.2 4.3 See page 153 in text. The values of a discrete random variable can be counted, or listed; the values of a continuous random variable cannot be counted, or listed. a. b. c. d. e. f. g. Discrete Discrete
Chapter 3: Probability
3.1 3.2 3.3 See pages 121 to 125 in text. The probability of an outcome must be between 0 and 1. The probabilities of all the experimental outcomes must sum to 1. a.
(1) AA (2) AA, BB, CC (3) AB, AC,
Chapter 1: An Introduction to Business Statistics
CHAPTER 1-An Introduction to Business Statistics
1.1 1.2 A population is a set of existing units. Any characteristic of a population unit is called a variable. Quantitative: values on the real number
CHAPTER 5—Continuous Random Variables
Intervals of values.
By finding areas under the curve.
f(x) ≥ 0 for all x; area under the curve equals 1.
Relative likelihood that x will be near the given point.
When a variable has a rectangular
Chapter 2: Descriptive Statistics
CHAPTER 2-Descriptive Statistics
2.1 a. b. c. d. 2.2 a. Both halves are mirror images of each other and one peak in the middle, tapering on both ends. Two distinct high points. Having a long tail to the left. Having