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−  This is a General AdvancedPlacement (AP) Statistics Curriculum EBook
 +  #REDIRECT [[Probability and statistics EBook]] 
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−  ==[[AP_Statistics_Curriculum_2007_Preface Preface]]==
 
−  This is an Internetbased EBook for advanceplacement (AP) statistics educational curriculum. The ebook is initially developed by the UCLA [[SOCR  Statistics Online Computational Resource (SOCR)]], however, any statistics instructor, researcher or educator is encouraged to contribute to this effort and improve the content of these learning materials.
 
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−  ===[[AP_Statistics_Curriculum_2007_Format Format]]===
 
−  Follow the instructions in [[AP_Statistics_Curriculum_2007_Format this page]] to expand, revise or improve the materials in this ebook.
 
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−  ==Chapter I: 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. How many natural processes or phenomena in real life can we describe that have an exact mathematical closedform description and are completely deterministic? How do we model the rest of the processes that are unpredictable and have random characteristics?
 
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−  ===[[AP_Statistics_Curriculum_2007_IntroUses Uses and Abuses of Statistics]]===
 
−  Statistics is the science of variation, randomness and chance. As such, statistics is different from other sciences, where the processes being studied obey exact deterministic mathematical laws. Statistics provides quantitative inference represented as longtime probability values, confidence or prediction intervals, odds, chances, etc., which may ultimately be subjected to varying interpretations. The phrase ''Uses and Abuses of Statistics'' refers to the notion that in some cases statistical results may be used as evidence to seemingly opposite theses. However, most of the time, common [http://en.wikipedia.org/wiki/Logic principles of logic] allow us to disambiguate the obtained statistical inference.
 
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−  ===[[AP_Statistics_Curriculum_2007_IntroDesign  Design of Experiments]]===
 
−  Design of experiments is the blueprint for planning a study or experiment, performing the data collection protocol and controlling the study parameters for accuracy and consistency. Data, or information, is typically collected in regard to a specific process or phenomenon being studied to investigate the effects of some controlled variables (independent variables or predictors) on other observed measurements (responses or dependent variables). Both types of variables are associated with specific observational units (living beings, components, objects, materials, etc.)
 
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−  ===[[AP_Statistics_Curriculum_2007_IntroTools Statistics with Tools (Calculators and Computers)]]===
 
−  Overview TBD
 
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−  ==Chapter II: Describing, Exploring, and Comparing Data==
 
−  ===[[AP_Statistics_Curriculum_2007_EDA_Freq Summarizing data with Frequency Tables ]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_EDA_Pics Pictures of Data]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_EDA_Center Measures of Central Tendency]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_EDA_Var Measures of Variation]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_EDA_Shape Measures of Shape]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_EDA_Plots  Graphs & Exploratory Data Analysis]] ===
 
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−  ==Chapter III: Probability==
 
−  ===[[AP_Statistics_Curriculum_2007_Prob_Basics Fundamentals]]===
 
−  Overview TBD
 
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−  ===[[AP_Statistics_Curriculum_2007_Prob_Rules Addition & Multiplication Rules]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Prob_Simul Probabilities Through Simulations]] ===
 
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−  ===[[AP_Statistics_Curriculum_2007_Prob_Count Counting]]===
 
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−  ==Probability Distributions==
 
−  ===[[AP_Statistics_Curriculum_2007_Distrib_RV  Random Variables]]===
 
−  Overview TBD
 
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−  ===[[AP_Statistics_Curriculum_2007_Distrib_Binomial Bernoulli & Binomial Experiments]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Distrib_Dists Geometric, HyperGeometric & Negative Binomial]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Distrib_Poisson Poisson Distribution]]===
 
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−  ==Chapter IV: Normal Probability Distributions==
 
−  ===[[AP_Statistics_Curriculum_2007_Normal_Std The Standard Normal Distribution]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Normal_Prob Nonstandard Normal Distribution: Finding Probabilities]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Normal_Critical Nonstandard Normal Distributions: Finding Scores (critical values)]]===
 
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−  ==Chapter V: Relations Between Distributions==
 
−  ===[[AP_Statistics_Curriculum_2007_Limits_CLT The Central Limit Theorem]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Limits_LLN Law of Large Numbers]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Limits_Norm2Bin Normal Distribution as Approximation to Binomial Distribution]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Limits_Poisson2Bin Poisson Approximation to Binomial Distribution]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Limits_Bin2HyperG Binomial Approximation to HyperGeometric]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Limits_Norm2Poisson Normal Approximation to Poisson]]===
 
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−  ==Chapter VI: Estimates and Sample Sizes==
 
−  ===[[AP_Statistics_Curriculum_2007_Estim_L_Mean Estimating a Population Mean: Large Samples]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Estim_S_Mean Estimating a Population Mean: Small Samples]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Estim_Proportion Estimating a Population Proportion]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Estim_Var Estimating a Population Variance]]===
 
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−  ==Chapter VII: Hypothesis Testing==
 
−  ===[[AP_Statistics_Curriculum_2007_Hypothesis_Basics Fundamentals of Hypothesis Testing]]===
 
−  Overview TBD
 
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−  ===[[AP_Statistics_Curriculum_2007_Hypothesis_L_Mean Testing a Claim about a Mean: Large Samples]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean Testing a Claim about a Mean: Small Samples]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Hypothesis_Proportion Testing a Claim about a Proportion]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Hypothesis_Var Testing a Claim about a Standard Deviation or Variance]]===
 
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−  ==Chapter VIII: Inferences from Two Samples==
 
−  ===[[AP_Statistics_Curriculum_2007_Infer_2Means_Dep Inferences about Two Means: Dependent Samples]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Infer_2Means_Indep Inferences about Two Means: Independent and Large Samples]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Infer_BiVar Comparing Two Variances]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Infer_2Means_S_Indep Inferences about Two Means: Independent and Small Samples]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_Infer_2Proportions Inferences about Two Proportions]]===
 
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−  ==Chapter IX: Correlation and Regression==
 
−  ===[[AP_Statistics_Curriculum_2007_GLM_Corr Correlation]]===
 
−  Overview TBD
 
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−  ===[[AP_Statistics_Curriculum_2007_GLM_Regress Regression]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_GLM_Predict Variation and Prediction Intervals]]===
 
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−  ===[[AP_Statistics_Curriculum_2007_GLM_MultLin Multiple Regression]]===
 
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−  ==Chapter X: Multinomial Experiments and Contingency Tables===
 
−  ===[[AP_Statistics_Curriculum_2007_Contingency_Fit Multinomial Experiments: GoodnessofFit]]===
 
−  Overview TBD
 
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−  ===[[AP_Statistics_Curriculum_2007_Contingency_Indep Contingency Tables: Independence and Homogeneity]]===
 
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−  ==Chapter XI: Statistical Process Control==
 
−  ===[[AP_Statistics_Curriculum_2007_Control_MeanVar Control Charts for Variation and Mean]]===
 
−  Overview TBD
 
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−  ===[[AP_Statistics_Curriculum_2007_Control_Attrib Control Charts for Attributes]]===
 
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−  <hr>
 
−  * SOCR Home page: http://www.socr.ucla.edu
 
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−  {{translatepageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007}}
 