要求|美国高中学分课 36周 AP Statistics( 三 )
Find the probability of independent events
Find the conditional probabilities of dependent events
Week 14: Semester Review
Essential Question: What have we learned this semester?
Objectives:
Discuss the importance of statistics
Review important vocabulary covered this semester
Prepare for your midterm exam
Week 15: Semester Exam and AP? Review
Essential Question: What have we learned this semester?
Objectives:
Share study tips and ask questions about the AP? Exam
Prepare for your midterm exam
Complete AP? practice quizzes
Week 16: Random Variables
Essential Questions: What is a random variable? How do random variables relate to probability?
Objectives:
Identify discrete and continuous random variables
Calculate and interpret the mean and standard deviation of a random variable
Interpret effects of transforming a random variable by adding, subtracting, multiplying or dividing by a constant
Identify independent random variables
Find the mean and standard deviation of the sum and difference of random variables
Week 17: Binomial and Geometric Distributions
Essential Question: What is a success?
Objectives:
Determine the conditions of a binomial random variable
Calculate and interpret the mean and standard deviation of a binomial random variable
Calculate and interpret probabilities involving binomial and geometric distributions
Determine the conditions for the Normal approximation to the binomial distribution
Apply the Normal approximation to estimate probabilities for a binomial setting
Week 18: Sampling Distributions and Sample Proportions
Essential Question: How is a sample used to describe a population?
Objectives:
Identify the difference between a statistic and a parameter
Determine whether a statistic is an unbiased estimator of a population
Interpret the relationship between sample size and the variability of an estimator
Find the mean and standard deviation of the sampling distribution of a sample proportion
Check and apply the 10% and Normal conditions to approximate probabilities of p-hat
Week 19: Sample Means and the Central Limit Theorem
Essential Question: How is a sample used to describe a population?
Objectives:
Find the mean and standard deviation of the sampling distribution of a sample mean
Calculate probabilities involving a sample mean when the population distribution is Normal
Interpret the shape of the sampling distribution related to the shape of the population distribution
Interpret and apply the Central Limit Theorem
Week 20: Confidence Intervals
Essential Question: How is statistical inference used to draw conclusions from data?
Objectives:
Identify a confidence interval
Interpret confidence intervals within context
Identify and interpret the three inference conditions: random, normal and independent
Week 21: Estimating a Population Proportion
Essential Question: How is statistical inference used to draw conclusions from data?
Objectives:
Construct and interpret a confidence interval for a population proportion
Determine critical values
Interpret confidence intervals within context
Determine the required sample size to obtain a level C confidence interval with a specific margin of error
Interpret the margin of error
Week 22: Estimating a Population Mean
Essential Question: How is statistical inference used to draw conclusions from data?
Objectives:
Construct and interpret a confidence interval for a population mean
Determine the required sample size to obtain a level C confidence interval with a specific margin of error
Determine sample statistics from a confidence interval
Week 23: Significance Tests - Introduction
Essential Question: How can we test a claim?
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