Statistics Unit 10

Big Idea:

One Sample Significance Tests

Student Expectations:

Focus Standards

IV. Statistical Inference: Estimating population parameters and testing hypotheses.

B. Tests of significance

1. Logic of significance testing, null and alternative hypotheses; p-values; one-and two-sided tests; concepts of Type I and Type II errors; concept of power

2. Large sample test for a proportion

4. Test for a mean

Student Learning Targets:

• I will state correct hypothesis for a significance test about a population proportion or mean
• I will interpret P-value in context of the problem
• I will interpret Type I and Type II Errors in context of the problem and give consequences of each
• I will check conditions for hypothesis tests
• I will perform a significance test about a population proportion and a population mean
• I will interpret the power of a test and describe what factors affect the power
• I will describe the relationship between Type I Error, Type II Error, and Power

Essential Questions:

• How are tests of significance used as evidence for some claim about a parameter?
• How are significance tests used to draw conclusions from data?
• What types of errors can occur in significance tests?
• How do you determine if there is statistical significance?
• What is a p-value and how is it interpreted?

Extra Information:

Adopted Textbook:

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