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Microsoft Excel を使用した AP 統計 (モジュール 1)

この 4 週間のセッションでは、統計、数値要約、グラフィカル手法、Z スコア、外れ値の特定など、Savannah Labs 教科書のモジュール 1 をカバーします。
Dr. Deborah (Savannah Math Labs)
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クラス
再生

含まれるもの

12 ライブミーティング
11 授業時間
宿題:
週あたり 2-4 時間. Students will be expected to read the Savannah Math Labs Module 1 text, complete the Lab Module 1 Microsoft Excel lab project, watch all assigned videos and complete additional practice A.P. Statistics problems associated with Module 1.
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このクラスで学べること

英語レベル - 不明
米国の学年 9 - 12
In this four-week multi-class session, we will meet three times per week and cover Module One of the Savannah Math Labs Statistics content. This module encompasses Unit 1 of the A.P. Statistics curriculum (approximately 20% of the A.P. Statistics exam). Students enrolling in this session should have a solid grasp and understanding of Algebra.  

Students will receive the 25-page Module 1 Savannah Math Labs text document in addition to approximately 1 hour and 20 minutes of animated videos and Microsoft® Excel® tutorials. For weeks 1-3, we will adhere to the following schedule:

•	First meeting: Review the course content and topics for the week (Students should prepare by reading the relevant text and watching the relevant videos). 
•	Second meeting: Work as a group on an in-class exercise.  
•	Third meeting: Solve 3 - 4 AP Statistics problems related to the week’s content.  

An immersive-learning Microsoft® Excel® lab project is provided to students and solutions will be reviewed in Week 4.  In the fourth week, we will also discuss student questions and review additional A.P. Statistics problems.  

The following topics will be covered during each week of this four-week session: 
Week 1: Introduction to Statistics, Examples of Descriptive Statistics Versus Inferential Statistics. Categorical Versus Quantitative Data, Simple Random Samples, Definition of Statistical Bias, Types of Statistical Bias: Selection Bias, Response Bias.
Week 2: Numerical Summaries for Quantitative Data, Graphical Methods for Quantitative Data, Changing Units of Measurement, Cumulative Relative Frequency
Week 3: Box Plots, Normally Distributed Data, Z-Scores and Outliers.
Week 4: Wrap-Up Lab Module 1, Review Lab Module 1 Assignment, Additional Practice AP Module 1 questions.

Following this Module 1 session, a 2-week session covering Probability (Module 2) will be available starting in late September which covers The Classical Method of Computing Probabilities, The Law of Large Numbers and The Combinations Rule. Subsequent modules will cover the AP Statistics course content in its entirety to prepare students for the May 2024 A.P. Statistics exam!
学習到達目標
Learning objectives for Module 1 are as follows:
1. Differentiate between categorical and quantitative data sets.
2. Graphically depict a categorical data set with a pie graph, bar graph and Pareto graph.
3. Explain the additional value a Pareto graph provides over a traditional bar graph.
4. Characterize a quantitative data set with key summary statistics.
5. Change the measurement units of a quantitative variable (x) based on a linear transformation (y = ax +b) and compute the new sample mean and sample variance of y.
6. Visualize the distribution of a quantitative data set with a histogram, dot plot, stem and leaf plot, cumulative relative frequency graph and a box plot.
7. Compute a Z-score distribution and assess whether data is consistent with the empirical rule for normally distributed data.
学習目標

その他の情報

受講に必要なもの
All Savannah Math Labs material (videos and text) will be provided in the Outschool course.  Additional homework problems will be assigned for the following manual:

AP Statistics Premium, 2023-2024: 9 Practice Tests + Comprehensive Review + Online Practice (Barron’s AP) Twelfth Edition.
 クラス登録時に 5 の学習素材が提供されます
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
Some homework and self-assessments will be assigned in the following manual: AP Statistics Premium, 2023-2024: 9 Practice Tests + Comprehensive Review + Online Practice (Barron’s AP) Twelfth Edition.
参加しました May, 2023
4.0
1レビュー
プロフィール
教師の専門知識と資格
博士号 Rice Universityから 数学 へ
I have a PhD in Statistics from Rice University and extensive teaching experience at the college level.  More details can be found in my teacher bio!

レビュー

ライブグループクラス
共有

$380

12 クラス分
週に3回、 4 週間
55 分

2 人がクラスを受けました
オンラインライブ授業
年齢: 14-18
クラス人数: 10 人-15 人

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