Chapter 10 notes
10.2
Linear correlation coefficient r, which is a numerical measure of the strength of the association
between two variables representing quantitative data
Using paired sample data (sometimes called bivariate data), we find the value of r

Chapter 5
5-2 Random Variables
Graphs
o Probability histogram
Shows probabilities instead of relative frequencies based on actual sample
results
Every probability distribution must satisfy each of the following two
requirements
Mean, Variance, and Standa

Chapter 3
3.1
Descriptive statistics they summarize or describe relevant characteristics of data
Inferential statistics to make inferences or generalizations, about a population
3.2 part 1
Measure of center a value at the center or middle of a data set
Me

Chapter 4
4.1
Rare event rule for inferential statistics
o If, under a given assumption, the probability of a particular observed event is extremely
small, we conclude that the assumption is probably not correct
4.2 Part 1: basics of probability
Event any

Chapter 6 Normal Probability Distributions
6.1
Normal distribution
o If a continuous random variable has a distribution with a graph that is symmetric and
bell-shaped, and it can be described by the equation Formula 6-1, we say that it has a
normal distri

Statistics
Chapter 2
2.1
Characteristics of data
o Center a representative or average value that indicated where the middle of the data
set is located
o Variation a measure of the amount that the data values vary
o Distribution the nature or shape of the

Statistics
Chapter 1
1.1
Data collections of observations (measurements, genders, survey responses)
Statistics the science of planning studies and experiments, obtaining data, and then organizing,
summarizing, presenting, analyzing, interpreting, and draw