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Statistics: Lecture Notes
Chapter 1
Definitions
NotesGenerating Random Numbers on the TI-82Sampling
Lab designed to expose the student to each of the five types
of sampling
Chapter 2
DefinitionsCreating Grouped
Frequency DistributionsIntroduction to Statistics and Lists on
the TI-82Creating Histograms, Box Plots, and Grouped Frequency
Distributions on the TI-82Creating an Ogive on the TI-82
Creating Pie Charts on the TI-82 using the PIE program
Chapter 3
DefinitionsMeasures of Central TendencyMeasures of
VariationMeasures of Position
Chapter 4
DefinitionsCounting Principles
Chapter 5
DefinitionsIntroduction to ProbabilityAddition and
Multiplication RulesConditional Probability
Chapter 6
DefinitionsProbability DistributionsBinomial ProbabilitiesOther
Distributions: Multinomial, Poisson, HyperGeometric
Chapter 7
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DefinitionsIntroduction to Normal ProbabilitiesTable - Standard
Normal ProbabilitiesCentral Limit TheoremApproximating the Binomial
with the Normal
Chapter 8
DefinitionsIntroduction to EstimationEstimating the Population
MeanTable - Student's T ProbabilitiesEstimating the Population
ProportionSample Size Determination
Chapter 9
DefinitionsIntroduction to Hypothesis Testing
Determining the type of testUsing confidence intervals to
do hypothesis testingSteps to Hypothesis TestingTesting of
MeansHypothesis test example: Does pi = 3.2?Testing of
ProportionsP-values
Chapter 10
DefinitionsDependent Samples - The Mean of the
DifferenceIndependent Samples - The Difference of the MeansTwo
Proportions
Chapter 11
DefinitionsScatter Plots and Regression Lines on the
TI-82CorrelationRegression
Correlation and Regression on the TI-82Coefficient of
Determination
Chapter 12
DefinitionsIntroduction to the chi-square distributionTesting a
single population varianceChi-square goodness-of-fit testChi-square
goodness-of-fit tests on the TI-82
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Chi-square test for independenceContingency tables on the
TI-82
Chapter 13
DefinitionsF distribution and F-testOne-Way Analysis of
Variance
One-Way Analysis of Variance on the TI-82Scheffe' and Tukey
TestsTwo-Way Analysis of Variance
Go to the homepage of James Jones.Send comments
to: [email protected]
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