Chapter 13: Linear Correlation
and Regression Analysis
Chapter Goals
More detailed look at linear correlation
and regression analysis.
Consider the line of best fit. Use this to
make confidence interval estimations.
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13.1: Linear Correlation Analysis

Chapter 10: Inferences Involving
Two Populations
Chapter Goals
Independent versus dependent samples.
Compare two populations using:
(i) the mean of the paired differences,
(ii) the difference between two means,
(iii) the ratio of two variances.
1
10.1:

Chapter 4: Probability
Chapter Goals
Learn the basic concepts of probability.
Learn the rules that apply to the probability of
both simple and compound events.
In order to make inferences, we need to study
sample results in situations in which the
popu

Chapter 9: Inferences Involving
One Population
Chapter Goals
Learned about confidence intervals and
hypothesis testing.
Consider inference about when is
unknown by using classical procedure.
Consider inference about p, the binomial
probability of succe

Chapter 8: Introduction to Statistical
Inferences
Chapter Goals
Learn the basic concepts of estimation and
hypothesis testing.
Consider questions about a population mean using
two methods that assume the population standard
deviation is known.
Consider

Chapter 5: Probability Distributions
(Discrete Variables)
Chapter Goals
Combine the ideas of frequency
distributions and probability to form
probability distributions.
Investigate discrete probability distributions
and study measures of central tendency

Chapter 7: Sample Variability
Chapter Goals
Investigate the variability in sample
statistics from sample to sample.
Find measures of central tendency for
sample statistics.
Find measures of dispersion for sample
statistics.
Find the pattern of variabi

Chapter 6: Normal Probability
Distributions
Chapter Goals
Learn about the normal, bell-shaped, or
Gaussian distribution.
How probabilities are found.
How probabilities are represented.
How normal distributions are used in the
real world.
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6.1: Normal