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要求|美国高中学分课 36周 AP Statistics( 四 )


Objectives:
State the null and alternative hypotheses for a significance test about a population parameter
Interpret a P-value in context
Determine if results of a study are statistically significant and make appropriate conclusions
Interpret a Type I and Type II error in context
Week 24: Significance Tests - Population Proportion
Essential Question: How can we test a claim?
Objectives:
State and check the random, 10% and large counts conditions for performing a significance test
Perform a significance test about a population proportion
Interpret the power of a test
Describe the relationship among the probability of Type I error, the probability of Type II error and the power of a test
Week 25: Significance Tests - Population Mean
Essential Questions: How can we test a claim?
Objectives:
State and check the random, 10% and large counts conditions for performing a significance test
Perform a significance test about a population mean
Use a confidence interval to draw a conclusion for a two-sided test about a population parameter
Perform a significance test about a mean difference using paired data
Week 26: Comparing Two Proportions
Essential Question: How can we compare two quantities?
Objectives:
Describe the shape, center and spread of sampling distribution of a difference of proportions
Determine if the conditions are met for inference of difference of proportions
Construct and interpret a confidence interval to compare two proportions
Perform a significance test to compare two proportions
Week 27: Comparing Two Means
Essential Question: How can we compare two quantities?
Objectives:
Describe the shape, center and spread of sampling distribution of a difference of means
Determine if the conditions are met for inference of difference of means
Construct and interpret a confidence interval to compare two means
Perform a significance test to compare two means
Determine when to use two-sample t procedures versus paired t procedures
Week 28: Chi-Square Goodness-of-Fit Tests
Essential Question: How do we apply chi-square tests?
Objectives:
Identify appropriate hypotheses and compute expected counts for a chi-square test for goodness of fit
Calculate the chi-square statistic, degrees of freedom, and P-value for a chi-square test for goodness of fit
Perform a chi-square test for goodness of fit
Analyze the results of a chi-square test when the results are statistically significant
Review the project introduction
Week 29: Inference for Relationships
Essential Question: How do we apply inference?
Objectives:
Compare conditional distributions for data in a two-way table
Identify appropriate hypotheses and compute expected counts for a chi-square test based on data in a two-way table
Calculate the chi-square statistic, degrees of freedom, and P-value for a chi-square test based on data in a two-way table
Perform a chi-square test for homogeneity
Perform a chi-square test for independence
Choose the appropriate chi-square test
Create a project proposal
Week 30: Inference for Linear Regression
Essential Question: How do we apply inference?
Objectives:
Identify the conditions for performing inference about the slope of the population regression line
Identify and interpret values in context as well as from computer output
Construct and interpret a confidence interval for the slope of the population regression line
Perform a significance test about the slope of the population regression line
Collect data for project
Week 31: AP? Review and Preparing for the Exam
Essential Question: How do we prepare for the AP? Exam?
Objectives:
Review information in regards to the AP? Exam
Take a complete practice AP? Exam


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