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Statistics: Hypothesis Tests Classroom ActivitiesDownload
TestClaimsProportions3

Testing Claims About Proportions

Students find z-scores and critical values to test claims about proportions.
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    TI-84 Plus CE
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    TI-84 Plus C Silver Edition
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ComparingTwoMeans_Overview

Comparing Two Means

Students test hypotheses concerning means of two populations by calculating the test statistic and the critical values and graphing the critical region.
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    TI-84 Plus CE
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    TI-84 Plus C Silver Edition
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GoodnessofFit_graph

Goodness-Of-Fit

Students test claims of whether given distributions "fit" theoretical distributions.
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    TI-84 Plus CE
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    TI-84 Plus C Silver Edition
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10039_Step_1

Candy Pieces

Students use a chi-square test for goodness-of-fit to determine if there is a significant difference between the proportions they find in the sample, and the proportions they would expect if the manufacturer produced equal proportions of each color.
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    TI-84 Plus CE
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    TI-84 Plus C Silver Edition
  • TI-84 Plus Silver Edition
  • TI-84 Plus
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12603_Step_1

Claims About Two Proportions

Students test claims about two proportions by calculating test statistics, critical values, and P-values, for both one-tailed and two-tailed tests.
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    TI-84 Plus CE
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    TI-84 Plus C Silver Edition
  • TI-84 Plus Silver Edition
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10239_Step_1

Hypothesis Testing: Means

Students test a claim about a mean with a large sample size at the five-percent significance level. The test statistic is found and compared to the critical value.
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    TI-84 Plus CE
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    TI-84 Plus C Silver Edition
  • TI-84 Plus Silver Edition
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12728_Step_1

Inference for Two-way Tables

Students use the chi-square test to analyze whether two categorical variables are independent or dependent calculating expected frequencies, the test statistic and the critical values.
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    TI-84 Plus CE
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    TI-84 Plus C Silver Edition
  • TI-84 Plus Silver Edition
  • TI-84 Plus
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12677_Step_1

What! A Mistake!

Students learn about Type I and Type II errors. Then, for a given scenario, they calculate the probabilities of errors and the power of the test.
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