AP Statistics Curriculum 2007

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-	==This is an Outline of a General Advance-Placement (AP) Statistics Curriculum==	+	#REDIRECT [[Probability and statistics EBook]]
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-	===Outline===	+
-	Each topic discussed in the SOCR AP Curricumum should contain the following subsections:	+
-	* '''Motivation/Problem''': A real data set and fundamental challenge.	+
-	* '''Approach''': Models & strategies for solving the problem, data understanding & inference.	+
-	* '''Model Validation''': Checking/affirming underlying assumptions.	+
-	* '''Computational Resources''': Internet-based SOCR Tools (including offline resources, e.g., tables).	+
-	* '''Examples''': computer simulations and real observed data.	+
-	* '''Hands-on activities''': Step-by-step practice problems.	+
-		+
-	===Introduction to Statistics===	+
-	====[[AP_Statistics_Curriculum_2007_IntroVar | The Nature of Data & Variation]]====	+
-	No mater how controlled the environment, the protocol or the design, virtually any repeated measurement, observation, experiment, trial, study or survey is bound to generate data that varies because of intrinsic (internal to the system) or extrinsic (due to the ambient environment) effects.	+
-		+
-	====Uses and Abuses of Statistics ====	+
-	====Design of Experiments ====	+
-	====Statistics with Calculators and Computers====	+
-		+
-	===Describing, Exploring, and Comparing Data===	+
-	====Summarizing data with Frequency Tables ====	+
-	====Pictures of Data ====	+
-	====Measures of Central Tendency ====	+
-	====Measures of Variation ====	+
-	====Measures of Position ====	+
-	====Exploratory Data Analysis ====	+
-		+
-	===Probability===	+
-	====Fundamentals====	+
-	====Addition Rule ====	+
-	====Multiplication Rule ====	+
-	====Probabilities through Simulations ====	+
-	====Counting ====	+
-		+
-	===Probability Distributions===	+
-	====Random Variables ====	+
-	====Bernoulli & Binomial Experiments ====	+
-	====Geometric, HyperGeometric & Negative Binomial====	+
-	====Mean, Variance, and Standard Deviation for the Binomial Distribution ====	+
-	====Poisson Distribution====	+
-		+
-	===Normal Probability Distributions===	+
-	====The Standard Normal Distribution ====	+
-	====Nonstandard Normal Distribution: Finding Probabilities ====	+
-	====Nonstandard Normal Distributions: Finding Scores ====	+
-		+
-	===Relations Between Distributions===	+
-	====The Central Limit Theorem ====	+
-	====Law of Large Numbers====	+
-	====Normal Distribution as Approximation to Binomial Distribution ====	+
-	====Poisson Approximation to Binomial Distribution ====	+
-	====Binomial Approximation to HyperGeometric====	+
-	====Normal Approximation to Poisson====	+
-		+
-	===Estimates and Sample Sizes===	+
-	====Estimating a Population Mean: Large Samples ====	+
-	====Estimating a Population Mean: Small Samples ====	+
-	====Estimating a Population Proportion ====	+
-	====Estimating a Population Variance====	+
-		+
-	===Hypothesis Testing===	+
-	====Fundamentals of Hypothesis Testing ====	+
-	====Testing a Claim about a Mean: Large Samples ====	+
-	====Testing a Claim about a Mean: Small Samples ====	+
-	====Testing a Claim about a Proportion ====	+
-	====Testing a Claim about a Standard Deviation or Variance====	+
-		+
-	===Inferences from Two Samples===	+
-	====Inferences about Two Means: Dependent Samples ====	+
-	====Inferences about Two Means: Independent and Large Samples ====	+
-	====Comparing Two Variances ====	+
-	====Inferences about Two Means: Independent and Small Samples====	+
-	====Inferences about Two Proportions ====	+
-		+
-	===Correlation and Regression===	+
-	====Correlation ====	+
-	====Regression ====	+
-	====Variation and Prediction Intervals ====	+
-	====Multiple Regression ====	+
-		+
-	===Multinomial Experiments and Contingency Tables===	+
-	====Multinomial Experiments: Goodness-of-Fit ====	+
-	====Contingency Tables: Independence and Homogeneity====	+
-		+
-	===Statistical Process Control===	+
-	====Control Charts for Variation and Mean ====	+
-	====Control Charts for Attributes====	+

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Current revision as of 02:53, 8 November 2008

1. REDIRECT Probability and statistics EBook