Review of
BUSA3322
Mary M. Whiteside
Methodologies
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Two sample tests
Analysis of variance
Chi square tests
Simple regression
Multiple regression
Time series analysis
SPC in quality and productivity
management
Decision analysis
Two sample tests
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Tests for equal means with independent
samples (Z and t)
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Test for equal means with related (paired)
samples (t)
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Quantitative variable
Test for equal proportions (z)
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Quantitative variable
Categorical, 0 -1 variable
Test for equal variances (F)
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Quantitative variable
Tests for equal means and
confidence intervals with
independent samples
Z - Variances known
 t n1 + n2 - 2 - Variances unknown but
assumed equal
 t Satterthwaite - Variances unknown
and not assumed equal
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Test for equal means with
related samples
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t n-1
Test for equal proportions
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Z with n*p > 5 and n*(1-p) > 5
Test for equal variances
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F with n1 -1 and n2 -1 degrees of
freedom
Excel options for means
tests
Formula for equal
proportions test
Page 454
 Exercise 13.73, a
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Data analysis plus for
proportions
Excel for equal variances
test
Excel for Analysis of
Variance
Data analysis plus for Fisher’s
LSD, Tukey-Kramer, and
Bonferroni multiple
comparisons
Chi Squared test of a
contingency table
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For independence
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Pages 558 - 559
Exercises 16.22, 16.24
Data analysis plus for Chi
squared tests
Excel for regression
Data analysis plus for
confidence and prediction
intervals
Time series analysis
Analyze charts of data, moving
averages and trend lines for
components of variation
 Compute and use seasonal index
numbers
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To seasonally adjust data
 To put seasonality in a forecast
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Decision analysis
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Construct payoff tables
Construct opportunity cost tables
Make maximax decisions
Make maximin decisions
Make minimax decisions
Make expected payoff decisions
Make expected opportunity cost decisions
Compute EVPI
SPC in quality and
productivity management
Identify philosophies of TQM, Deming
and Six Sigma
 Compute control limits for the X-bar
chart, page 784
 Compute control limits for the S chart
with data analysis plus
 Compute control limits for the p chart,
page 797
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Understanding concepts of
statistical inference
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Randomness
Significance
 Rejecting a null hypothesis
 Failing to reject a null hypothesis
Importance
Correlation
Causation
Variability
 Time series
 SPC