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AP Statistics. Dr. Jones Periods 1 & 4. AP Stat Exam: Wednesday, May 13 Noon. 40 Multiple Choice, 90 minutes, 50% of score 5 FRQ, 65 minutes, 37.5% of score 1 I nvestigative Task, 25 minutes, 12.5% of score Calculators are expected. Typically about 55 – 60% of students score 3 or better.

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AP Statistics

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AP Statistics

Dr. Jones

Periods 1 & 4

AP Stat Exam:Wednesday, May 13Noon

• 40 Multiple Choice, 90 minutes, 50% of score

• 5 FRQ, 65 minutes, 37.5% of score

• 1 Investigative Task, 25 minutes, 12.5% of score

• Calculators are expected.

• Typically about 55 – 60% of students score 3 or better.

AP Preparation Materials

• Your Textbook. Starnes, Yates, and Moore (2012). The Practice of Statistics, 4th Ed.

• apcentral.collegeboard.com

• AMSCO’s AP Statistics: Preparing for the Advanced Placement Exam / Edition 2 by Bohan and Chance.

• 5 Steps to a 5: AP Statistics by Duane C. Hinders

• Other materials are available online.

Main Topics & % of AP Exam

• Section 1: Exploring Data (Looking for and explaining trends and patterns in data – 20-30%)

• Section 2: Sampling and Experimentation (planning and conducting a study(10-15%)

• Section 3: Anticipating patterns (exploring random phenomena using probability and simulation – 20-30%)

• Section 4: Statistical Inference (estimating population parameters and hypothesis testing -- 30-40%)

Section 1: Exploring Data

Looking for and explaining trends and patterns in data

• Exploring one variable data sets (center, spread)

• Comparing one-variable distributions (graphs, shape, center/spread, outliers, clusters, gaps)

• Exploring two-variable data sets(linearity, association, residuals, transformations)

• Exploring categorical data (frequency tables, bar charts, marginal frequencies, conditional frequencies, association)

Section 2: Sampling and Experimentation

• Overview of data (methods of data collection—census, survey, experiment, observation)

• Planning and conducting a study(what counts as data, how data will be analyzed, population vs sample, random selection, bias, sampling methods)

• Planning and conducting an experiment(what counts as data , how data will be analyzed, treatments, controls, bias, confounding, blinding, randomization)

• Generalizabilityand drawing conclusions.

Section 3: Anticipating patterns

• Probability.Concept of uncertainty, law of large numbers, independent, conditional, distributions, random variables

• Combining independent random variables. Descriptive stats for sums /differences of independent random variables

• Normal Distribution. Properties, tables, modeling with normal distribution

• Sampling Distributions. Sample proportion, sample mean, central limit thm, t-distribution, chi-square distribution

Section 4: Statistical Inference & Hypothesis Testing

• Point Estimation and confidence intervals. Population parameters and confidence intervals – proportions, difference between 2 proportions, means, difference between means, bias, variability, slope of regression line

• Tests of significance. Null and alternative hypotheses, Type 1 & Type 2 errors, power, tests for proportions, tests for mean, Chi-square test for goodness of fit, test for slope of least square regression line