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    Vishal Kshirsagar

    Test Prep HOD, AP Statistics Prodigy

    Elevate AP Journey: With Anannt Education

    Course Structure πŸ“š
    • 40+ Hours of Learning πŸ•’: Interactive sessions, in-person & online.
    • Small Batches πŸ‘₯: Max 10 students for personalized focus.
    • Custom Plans 🎯: Diagnostic tests tailor your study journey.
    • Regular Assessments βœ”οΈ: Advanced testing portal for constant improvement.
    Study Material πŸ“–
    • Expert Tutors πŸ‘©β€πŸ«: Personalized guidance from seasoned pros.
    • Rich Resources πŸ“ˆ: Detailed notes, video tutorials, and topic-wise tests.
    • Mock Tests πŸ“: 5 full-length exams for a real test experience.
    • Online Portal πŸ’»: Quizzes and explanations for deeper learning.
    Anannt Advantage ✨
    • Dedicated Mentors 🌟: Celebrated for exceptional mentorship.
    • Holistic Approach πŸ”„: Blends guidance, support, and materials for success.
    • Proven Methods πŸ“Š: Achieve excellence with our tested teaching strategies.
    • Unlock Potential πŸ”“: Realize your ambitions and excel in AP Statistics.

    AP Statistics Syllabus

    Unit 1: Exploring One-Variable Data (15%–23%)

    • πŸ“ˆ Variation in variables: Understand categorical vs. quantitative, measure center and spread.
    • πŸ“Š Data representation: Master histograms, box plots, stem-and-leaf, and bar charts.
    • πŸ”’ Statistics: Mean, median, mode, range, standard deviation, z-scores, percentiles.
    • πŸ”„ Distributions: Describe skewness, modality, outliers; compare using plots.

    Unit 2: Exploring Two-Variable Data (5%–7%)

    • πŸ”² Categorical comparisons: Two-way tables, segmented bar charts.
    • πŸ“ Bivariate data: Scatter plots, correlation, linear regression, residuals.

    Unit 3: Collecting Data (12%–15%)

    • πŸ“‹ Study design: Research questions, Basics of Designing a study.
    • Sampling Methods: Simple Random Sampling, Stratified sampling, and cluster sampling and Bias.
    • πŸ§ͺ Experiment design: Treatments, subject selection, randomization.

    Unit 4: Probability & Distributions (10%–20%)

    • 🎲 Simulations:Β Basics of simulation, including Monte Carlo simulation, Random variables.
    • Probability of Random Event: Calculate probabilities of simple, compound events and conditional probability.
    • Binnomial Distribution & Geometric Distribution: Properties, including calculating probabilities and expected values.

    Unit 5: Sampling Distributions (7%–12%)

    • πŸ“ˆ Variation in Statistics: In-depth analysis of sample means and proportions distributions.
    • πŸ”„ Central Limit Theorem: Significance and practical applications.

    Unit 6: Inference for Categorical Data (12%–15%)

    • πŸ” Constructing and interpreting a confidence: Detailed study on constructing and interpreting confidence intervals for proportions using sample proportion and Standard error.
    • 🎯 Introduction to Chi-square tests for association in categorical data.

    Unit 7: Inference for Quantitative Data (10%–18%)

    • πŸ“Š Techniques for comparing means, including t-tests and ANOVA.
    • πŸ”„ Understanding assumptions and conditions for inferential tests.

    Unit 8: Chi-Square Tests (2%–5%)

    • πŸ“ Mastery of chi-square goodness of fit tests, including assumptions and conditions.
    • πŸ’‘ Exploring chi-square tests for homogeneity and independence with real-world examples.

    Unit 9: Inference for Slopes (2%–5%)

    • πŸ“ˆ Advanced understanding of regression inference, including conditions for the regression inference.
    • 🎯 Focus on interpreting and constructing confidence intervals and hypothesis tests for the slope of a regression line.
    πŸŽ“ AP Statistics Exam Structure πŸŽ“

    Section 1: Multiple Choice

    • πŸ”’ Number of Questions: 40
    • ⏰ Time Allotted: 1 hour and 30 minutes
    • πŸ“š Content Coverage: Questions span across all units, testing understanding, application, and integration of course content.
    • πŸ’‘ Question Types: Both individual and sets of questions based on scenarios.
    • βœ… Scoring: Correct answers contribute towards the total score, with no penalty for incorrect answers.

    Section 2: Free Response

    • πŸ”’ Number of Questions: 6 (including 1 investigative task)
    • ⏰Time Allotted: 1 hour and 30 minutes
    • πŸ“š Content Coverage: Emphasizes data analysis, experimental design, probability, and inference, reflecting the course’s focus on investigation and exploration.
    • πŸ’‘ Question Types: Questions demand thorough responses that involve explaining statistical concepts, interpreting results, and justifying answers.
    • πŸ” Investigative Task: Represents a more complex analysis scenario requiring integration of multiple content areas.

    Frequently Asked Question

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    AP Statistics Course Guide for Students and Parents