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Inferential Statistics: Basic Cases

Updated 29 Dec 2014 (What’s New?)
Copyright © 2007–2017 by Stan Brown

Summary: This table organizes procedures for basic inferential statistics into a chart of Cases. (The Case numbers are useful for reference, although they are not standard statistics terminology.) All links are live in the online version of this page.

See also:
Case Number
and Description
Pop.
Param.
TI-83/84/89 Procedures
(CI=conf int, HT=hypothesis test, SS=sample size)
All require random sample or randomization, and 10n ≤ N; additional requirements are noted in each case.
NUMERIC DATA — INFERENCES ABOUT MEANS
1One pop. mean, unknown σ μ Required: n ≥ about 30 or normal with no outliers.
CI: TInterval; HT: T-Test
SS: MATH200A part 5
3Mean difference for paired data μd Required: n ≥ about 30, or differences are normal with no outliers.
CI: TInterval using the differences; HT: T-Test using the differences
4Difference of 2 indep. pop. means, unpaired data μ1, μ2 or
μ1−μ2
Required: in each sample, n ≥ about 30 or normal with no outliers.
CI: 2-SampTInt; HT: 2-SampTTest
YES/NO COUNTS — INFERENCES ABOUT PROPORTIONS
2One pop. proportion p CI: 1-PropZInt; requires ≥ 10 successes and ≥ 10 failures in sample.
HT: 1-PropZTest; requires expected successes npo ≥ 10 and expected failures nnpo ≥ 10.
HT w/ small samples: MATH200A part 3 or binomcdf
SS: MATH200A part 5
5Difference of 2 pop. proportions p1, p2
p1p2
CI: 2-PropZInt; each sample requires ≥ 10 successes and ≥ 10 failures.
HT: 2-PropZTest; requires same as CI. If that’s not met, use pooled to test that n1, n1n1, n2, n2n2 are all ≥ 10.
SS: MATH200A part 5
CATEGORY COUNTS — INFERENCES ABOUT MODELS
6Goodness of fit (GOF) or multinomial none CI: undefined; HT: MATH200A part 6
TI-89 HT: Chi2 GOF or Testing Goodness of Fit on TI-89
Required: every expected value ≥ about 5.
7Independence or homogeneity
(in 2-way table)
none CI: undefined; HT: χ²-Test or MATH200A part 7
TI-89 HT: Chi2 2-way
Required: every expected value ≥ about 5.

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