
Table 13-2 Condence intervals (continued)
Test Description
T-Int: 1 μ The condence interval for one mean, based on the Student's t-distribution
T-Int: μ
1
– μ
2
The condence interval for the dierence between two means, based on the Student's t-
distribution
Table 13-3 X
2
test
Test Description
Goodness of t The chi-square goodness of t test, based on categorical data
2-way test The chi-square test, based on categorical data in a two-way table
Table 13-4 Regression
Test Description
Linear t-test The t-test for linear regression
Interval: Slope The condence interval for the slope of the true linear regression line, based on the t-
distribution
Interval: Intercept The condence interval for the y-intercept of the true linear regression line, based on the
t-distribution
Interval: Mean response The condence interval for a mean response, based on the t-distribution
Prediction interval The prediction interval for a future response, based on the t-distribution
Table 13-5 ANOVA
Test Description
1-way ANOVA One-way analysis of variance, based on the F-distribution
If you choose one of the hypothesis tests, you can choose an alternative hypothesis to test against the null
hypothesis. For each test, there are three possible choices for an alternative hypothesis based on a
quantitative comparison of two quantities. The null hypothesis is always that the two quantities are equal.
Thus, the alternative hypotheses cover the various cases for the two quantities being unequal: <, >, and ≠.
In this section, we will conduct a Z-Test on one mean on the example data to illustrate how the app works.
Getting started with the Inference app 263
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