RANDOM EXPERIMENTS
PROBABILITY
MARGINAL JOINT CONDITIONAL
INDEPENDENCE
CONTINGENCY TABLES
Chapter 5
2-1
Random Experiments
Experiments, Sample Spaces, Outcomes, and Events
In business a random experim
CORRELATION ANALYSIS
REGRESSION: Vocabulary and
Significance Tests
PREDICTING THE RESPONSE
RESIDUAL DIAGNOSTICS
UNUSUAL OBSERVATIONS
Chapter 12
We are interested in.
Relationship between 2 quantitativ
HYPOTHESIS TESTING:
Comparing two samples
INDEPENDENT SAMPLES
PAIRED SAMPLES
PROPORTIONS
Two-Sample Tests
What Is a Two-Sample Test
A two-sample test compares two sample estimates with each
other.
A o
CHI-SQUARE DISTRIBUTION
CHI-SQUARE TEST FOR
INDEPENDENCE
CHI-SQUARE TEST FOR
GOODNESS OF FIT
Chapter 15
Chi-Square Distribution
When summing squared standard normal random variables,
we have a new sta
HYPOTHESIS TESTING
TYPE I AND II ERRORS
APPLYING THE STEPS
INTERPRETING A P-VALUE
Nonstatistical Hypothesis Testing
A criminal trial is an example of hypothesis testing without
the statistics.
In a tr
CONTINUOUS RANDOM VARIABLES
CONTINUOUS UNIFORM
NORMAL
STANDARD NORMAL
Chapter 7
EXPONENTIAL
2-1
Continuous Random Variable
Events as Intervals
Discrete Variable each value of X has its own
probability
DOTPLOTS AND
HISTOGRAMS
LINE CHARTS
COLUMN AND BAR CHARTS
PARETO CHARTS
PIE CHARTS
Chapter 3
SCATTER PLOTS
2-1
Visual summaries such as charts
and graphs provide insight into
characteristics of a data
MEASURES OF CENTER
MEASURES OF VARIABILITY
STANDARDIZED DATA
BOXPLOTS AND QUARTILES
CORRELATION
Chapter 4
2-1
Numerical summaries enhance our
understanding of a data set and
provide more precise descr
RANDOM VARIABLES
PROBABILITY DISTRIBUTIONS
EXPECTED VALUE
DISCRETE UNIFORM
BINOMIAL
Chapter 6
POISSON
2-1
Discrete random variable
A random variable is a function or rule that assigns a
numerical valu
VARIABLES
DATA
MEASUREMENT
LEVELS
SAMPLING
CONCEPTS
Chapter 2
2-1
Individuals and Variables
An individual is the thing we count or measure, such
as students, cars, countries or invoice statements
A
ESTIMATING PARAMETERS
THE CENTRAL LIMIT THEOREM
CONFIDENCE INTERVALS
SAMPLE SIZE DETERMINATION
Estimating Parameters
We use a sample statistic to estimate a population parameter.
Choosing the correct