AP Statistics Syllabus



AP Statistics SyllabusSFLS, 2019/20Mr. Netsanet Tsegawnetsanet4all@TextbookThe Practice of Statistics, 5th edition, Starnes, Tabor, Yates, Moore, W.H. Freeman and company, 2014Technology All students have a TI-nspire (or TI-89) graphing calculator for use in class, at home, and on the AP Exam. I will use a TI-nspire graphing calculator with an overhead display for class demonstrations when available. Students also have instructions on how to use the graphing calculator in my ppts. Course DesignThe course is taught using direct lecture, think-pair-share, small group and large group discussions, peer-assessment, explorations, simulations, projects, and labs. Students are expected to use the many approaches to construct their own understanding of the concepts of statistics. The course places a heavy emphasis on the use of real world data and we often have lively discussions about current events that make use of statistics. The students are required to learn to write using statistical language and to be able to interpret and communicate their thinking precisely and accurately. They must be able justify their conclusions and demonstrate the ability to make critical connections between the data and its implications.Assessment Homework and Class participation ……10% Quizzes & Tests …….50% Mid/Final Exam …… 30%Project work and presentations ……10%Course OutlineDate(week?)TopicAllotted periodsHomeworkAss’tRemark1.Chapter-1 (2 periods)The Role of Statistics and the Data Analysis ProcessWhy Study Statistics?1.2 The Nature and Role of Variability 1 (page-6+) 3, 5, 7, 8 (page-20) 9a,b(page-41) 37a Statistics and the Data Analysis Process1.4 Types of Data and Some Simple Graphical Displays1Chapter-2 (11 periods)Graphical Methods for Describing Data2.1 Displaying Categorical Data 2Worksheet2.2 Displaying Numerical Data: Stem-and-Leaf Displays1WorksheetDisplaying Numerical Data: Frequency Distributions and Histograms3Page----43+ 51, 53Page-100+ 10Displaying Bivariate Numerical Data1Interpreting and Communicating the Results of Statistical Analyses1Mini-project3Making posters and presentationPresentationChapter-3 (11 periods)Numerical Methods for Describing Data3.1 Describing the Center of a Data Set3Page----69+79, 83, 84, 86, 87Describing the Variability of a Data Set3Summarizing a Data Set: Boxplots1Page-70+92, 93, 95Quiz-1Interpreting Center and Variability: Chebyshev’s Rule, the Empirical Rule, and z Scores2Page-7198, 100, 103Interpreting and Communicating the Results of Statistical Analyses1Test-1Chapter-4 (8/10 periods)Summarizing Bivariate DataCorrelation14.2 Linear Regression: Fitting a Line to Bivariate Data2Page-159+4, 5, 9, 15, 17, 19, 21, 26, 27, 31 Quiz-2Quiz on 4.1-4.2Assessing the Fit of a Line3Page-193+37, 39, 40, 47Nonlinear Relationships and Transformations (Optional)0/1Page-193+52, 55, 60, 71-78Logistic Regression (Optional)0/1Interpreting and Communicating the Results of Statistical Analyses1Test-2Chapter-5 (8/9 periods)Collecting Data SensiblyStatistical Studies: Observation and Experimentation1Sampling (simple random, stratified, cluster, and systematic)2Simple Comparative Experiments1Quiz-3More on Experimental Design (binding, placebo, and control groups)2More on Observational Studies: Designing Surveys (Optional)0/1Interpreting and Communicating the Results of Statistical Analyses1Test-3 Mid-ExamChapter-6Probability (13 periods) Chance Experiments and Events6.2 Definition of Probability16.3 Basic Properties of Probability3 Conditional Probability2Quiz-4Independence1Some General Probability Rules3Estimating Probabilities Empirically using Simulation1Practice on pp questionsTest-4Chapter-7 (15 Periods)Random Variables and Probability Distributions7.1 Random Variables1 Probability Distributions for Discrete Random Variables17.3 Probability Distributions for Continuous Random Variables2Mean and Standard Deviation of a Random Variable1Binomial and Geometric Distributions3Quiz-5Normal Distributions3Checking for Normality and Normalizing Transformations2Quiz-6Using the Normal Distribution to Approximate a Discrete Distribution1Test-5Chapter-8 (4 periods)Sampling Variability & Sampling DistributionsStatistics and Sampling Variability18.2 The Sampling Distribution of a Sample Mean1The Sampling Distribution of a Sample Proportion1Test-6Review for Final exam3Semester ExamChapter-9 (7 periods)Estimation Using a Single Sample 9.1 Point Estimation1Large-Sample Confidence Interval for a Population Proportion2Confidence Interval for a Population Mean2Interpreting and Communicating the Results of Statistical Analyses1Test-7Chapter-10 (10 periods)Hypothesis Testing Using a Single SampleHypothesis and Test Procedures2 Errors in Hypothesis Testing1 Large-Sample Hypothesis Tests for a Population Proportion2Quiz-7 Hypothesis Tests for a Population Mean2Quiz-8 Power and Probability of Type II Error1 Interpreting and Communicating the Results of Statistical Analyses1Test-8Chapter-11 (5 periods)The Analysis of Categorical Data and Goodness-of-Fit Tests Chi-Square tests for Univariate Data1 Tests for Homogeneity 2Quiz-9 Test for Independence1Test-9Chapter-12 (7 periods)Comparing Two Populations or Treatments Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples2 Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples1 Large-Sample Inferences Concerning the Difference Between Two Population or Treatment Proportions2Quiz-10 Interpreting and Communicating the Results of Statistical Analyses1Test-10Chapter-13 (7/9 periods)Simple Linear Regression and Correlation: Inferential Methods Simple Linear Regression Model1 Inferences About the Slope of the Population Regression Line2 Checking Model Adequacy2Practice on past paper Inferences Based on the Estimated Regression Line (Optional)0/1Inferences About the Population Correlation Coefficient (Optional)0/1Interpreting and Communicating the Results of Statistical Analyses1Test-11Review for Mock Exam5Mock-ExamChapter-14Multiple Regression Analysis (ALL Optional) Multiple Regression Models Fitting a Model and Assessing Its Utility Inferences based on an Estimated Model Other Issues in Multiple regression Interpreting and Communicating the Results of Statistical AnalysesChapter-15Analysis of Variance (ALL Optional) Single-Factor ANOVA and the F Test Multiple Comparisons The F Test for a randomized Block Experiment Two-Factor ANOVA Interpreting and Communicating the Results of Statistical AnalysesChapter-16Nonparametric (Distribution Free) Statistical Methods (ALL Optional)Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Paired Samples Distribution-Free ANOVAIntensive revision and Project work!!!About the Project work:Each student will be an active participant in a group project that will involve a statistical project that will encompass many of the aspects learned throughout the year. A wide range of different projects will be executed and then discussed as a whole to involve as many of the aspects of statistics as possible. Timing of the projects will be during the class and, possibly, after the AP mock exam. The scoring weight of this project will be 10% of their final grade.At the culmination of the project (and thus the class) there will be a ‘round table’ discussion involving the entire class with the instructor serving as the overseer of the discussion, Each ‘team’ or ‘group’ will, sit in the ‘hot seat’ and discuss and explain to the rest of the class the how, what, and why of their project. They will be the ‘statistical’ expert explaining to the rest of the class the statistical analysis, or significance, of their project abundantly using statistical terminology.Overview of AP Stat Exam Structure35% Chapters 1-525% Chapters 6-840% Chapters 9-13 Wechat group: ................
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