Chapter 13: Linear Correlation
and Regression Analysis
More detailed look at linear correlation
and regression analysis.
Consider the line of best fit. Use this to
make confidence interval estimations.
13.1: Linear Correlation Analysis
Chapter 10: Inferences Involving
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.
Chapter 4: Probability
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
Chapter 9: Inferences Involving
Learned about confidence intervals and
Consider inference about when is
unknown by using classical procedure.
Consider inference about p, the binomial
probability of succe
Chapter 8: Introduction to Statistical
Learn the basic concepts of estimation and
Consider questions about a population mean using
two methods that assume the population standard
deviation is known.
Chapter 5: Probability Distributions
Combine the ideas of frequency
distributions and probability to form
Investigate discrete probability distributions
and study measures of central tendency
Chapter 7: Sample Variability
Investigate the variability in sample
statistics from sample to sample.
Find measures of central tendency for
Find measures of dispersion for sample
Find the pattern of variabi
Chapter 6: Normal Probability
Learn about the normal, bell-shaped, or
How probabilities are found.
How probabilities are represented.
How normal distributions are used in the