AP 統計学をマスターする: 概念を把握し、計算をマスターし、試験に合格する
Master AP Statistics は、シリコンバレーのデータ エキスパートであり、統計学の上級学位を持つ教授である Jeremy Gu による、試験重視のコースです。データと統計手法を使用した実際の例により、概念を簡単に理解できます。
含まれるもの
8 ライブミーティング
12 授業時間宿題：
週あたり 4+ 時間. Each week, students will receive a homework assignment designed to reinforce the core concepts covered in class, ensuring a solid understanding of key topics. With 6-7 assignments throughout the course, each set is crafted to be completed within 45 minutes, focusing on basic concept questions, thought-provoking problems, and short practice exercises. These tasks encourage critical thinking and real-world application of statistical methods, helping students build confidence and proficiency. Homework will be reviewed at the start of each session, allowing for clarification and reinforcing understanding before moving on to new topics.修了証書
クラス修了後 1この文章は自動翻訳されています
このクラスで学べること
英語レベル - A2
米国の学年 9 - 12
Beginner - Intermediate レベル向け
AP Statistics Foundations is an intensive, exam-focused course designed by Jeremy Gu, a seasoned data expert and professor with advanced degrees in Statistics. This course emphasizes understanding key statistical concepts, mastering calculations, and building confidence for the AP Statistics exam. By using real-world examples, interactive learning, and plenty of practice problems, this course ensures that even students with no prior background in statistics can excel. Course Format - Duration: 8 weeks, 1 class per week - Class Length: 90 minutes per session - Class Type: Live online, interactive sessions - Expected 6-8 hours per week of study Teaching Style The teaching style is interactive and engaging, focusing on simplifying complex concepts using: - Slides: Visually appealing presentations to illustrate core concepts - Real-World Examples: Practical scenarios to show how statistics applies to everyday situations and professional fields - Practice Problems: A variety of exercises categorized into 3 types: basic, integrated, and advanced problems to gradually build confidence and proficiency - Interactive Q&A Sessions: Encouraging students to ask questions and clarify doubts in real time, fostering an active learning environment Class Interactions - Live Problem-Solving: Students will participate in solving problems together during the sessions, guided by step-by-step explanations - Group Discussions: Opportunities to discuss concepts and applications in small groups, encouraging peer learning - Practice Exams: Mock exams at the end of the course to simulate the actual AP Statistics exam and provide performance feedback Why Choose This Course? - Expert Instruction: Taught by Jeremy Gu, who combines practical industry knowledge with extensive teaching experience - High-Impact Learning: Structured to cover essential AP Statistics topics quickly and effectively, with a focus on achieving the highest scores - Real-World Relevance: Learn how statistical methods form the backbone of data science and AI, giving insights into future career applications
学習到達目標
Rapidly cover all major AP Statistics topics in alignment with the AP Statistics Exam GuidelinesBuild strong foundational skills in key statistical concepts like data types, probability, and inference
シラバス
カリキュラム
College Board Advanced Placement カリキュラムに準拠標準
Advanced Placement (AP) Standards に準拠8 レッスン
8 週間以上レッスン 1:
Introduction to AP Statistics & Exam Overview
• Overview of AP Statistics: Key topics and concepts covered in the course
• Understanding the AP Exam structure: multiple-choice vs. free-response questions
• How to prepare for the exam: study tips and creating a personalized study plan
• Introduction to statistical thinking and basic terminology 90 分のオンラインライブレッスン
レッスン 2:
Exploring Data - Descriptive Statistics
• Types of data: Categorical vs. numerical, discrete vs. continuous
• Measures of central tendency: Mean, median, mode
• Measures of spread: Range, interquartile range, variance, standard deviation
• Graphical representations: Histograms, box plots, scatterplots, and bar charts 90 分のオンラインライブレッスン
レッスン 3:
Exploring Data - Bivariate Data & Regression
• Relationships between variables: Correlation and causation
• Scatterplots and interpreting patterns
• Introduction to linear regression: Least-squares method, line of best fit
• Analyzing residuals and assessing model fit 90 分のオンラインライブレッスン
レッスン 4:
Collecting Data - Sampling & Experimentation
• Sampling methods: Random, stratified, cluster, and systematic sampling
• Designing surveys and experiments: Reducing bias and errors
• Understanding observational studies vs. controlled experiments
• Key concepts: Randomization, replication, control, and blocking 90 分のオンラインライブレッスン
その他の情報
受講の前提条件
No prior statistics knowledge is required, but a basic understanding of algebra and mathematical concepts will be helpful. Students should be comfortable with using a calculator, interpreting graphs, and performing simple calculations.
外部リソース
学習者は、Outschoolが提供する基本ツール以外のアプリやウェブサイトを使用する必要はありません。
使用する教材
AP Statistics Course Description
AP Statistics Official Practice Guide
AP classroom
https://account.collegeboard.org/login/login?DURL=https://apclassroom.collegeboard.org/
参加しました December, 2023
教師の専門知識と資格
3 学位
修士号 University of Washingtonから 科学 へ
学士号 University of Minnesotaから 数学 へ
学士号 University of Minnesotaから 科学 へ
I have 11 years of teaching experience in various subjects related to data science, analytics, and statistics, as well as experience guiding students through strategic decision-making processes. My teaching background includes but not limit to:
- Data Streaming (MSDS 682) - Fall 2023, University of San Francisco Format: In-Person, Graduate level Role: Lead/Primary Instructor Class size: 9 students
- Connecting Data Analytics with Managerial Success (BUS 36) - Summer 2024, Stanford Continuing Studies Format: In-Person, Extension Studies Role: Lead/Primary Instructor Class size: 25 students
- Non-parametric Modeling (STAT 527) - Spring 2014, University of Washington Format: In-Person, Graduate level Role: Teaching Assistant Class size: 50 students
- Categorical Data Analysis (STAT 536) - Spring 2013, University of Washington Format: In-Person, Graduate level Role: Teaching Assistant Class size: 50 students
レビュー
ライブグループコース
$25
毎週または$199 8 クラス分週に1回、 8 週間
90 分
オンラインライブ授業
年齢: 14-18
クラス人数： 6 人-12 人
