確率と統計: データ分析の世界を探る
この魅力的な自分のペースで学べるクラスで確率と統計を学びましょう。インタラクティブなレッスンと実際の例を通して、確率のルール、分布、記述統計などの重要な概念を学びます。
Kaitlyn B, Ed.D.
平均評価:
4.9
レビュー数:(52)
Rising Star
含まれるもの
10 録画レッスン
5 週間
教師のサポート1年間のアクセス
コンテンツに宿題：
週あたり 1-2 時間. The homework assigned in this course will reinforce concepts covered in class and provide opportunities for students to practice their skills independently. Here's what students can expect: Type of Homework: - Problem-Solving Exercises: These exercises will involve solving problems related to probability and statistics, applying the concepts learned in class. - Data Analysis Projects: Students will work on real-world data analysis projects to apply their statistical knowledge to practical situations. - Readings and Reflections: Students may be assigned readings or articles related to the topics covered in class, followed by reflective questions or discussions. Frequency of Assignments: - Homework will be assigned weekly, with assignments corresponding to the topics covered in class during that week. Checking for Correctness: - Instructor Feedback: For assignments requiring subjective evaluation, such as data analysis projects, students will receive personalized feedback from the instructor. Required Assignments: - While all assignments are designed to reinforce learning and are highly encouraged, students are not required to submit their homework to me. Overall, homework assignments are designed to be engaging and relevant to students' learning objective. They serve as valuable opportunities for students to apply and consolidate their understanding of probability and statistics concepts.評価
Grades will be provided by request.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 - 不明
米国の学年 8 - 11
Unlock the Power of Data: Learn Probability and Statistics in an Engaging, Self-Paced Course! Discover the exciting world of probability and statistics in this 5-week course designed for middle and high school students! Perfect for learners interested in math, data analysis, or real-world problem-solving, this class provides a comprehensive introduction to the essential skills needed to analyze data and draw meaningful conclusions. What Will Your Student Learn? Students will dive into key topics, including: Introduction to Probability: Master basic probability rules and concepts. Probability Distributions: Explore binomial, normal, and other distributions. Descriptive Statistics: Learn how to calculate mean, median, mode, and standard deviation. Inferential Statistics: Conduct hypothesis testing and calculate confidence intervals. Real-World Applications: Apply concepts to solve practical problems. Final Project: Showcase your knowledge with a hands-on project! Why Enroll in This Course? Self-Paced Learning: Students progress at their own speed while enjoying full instructor support. Interactive Teaching Style: Complex concepts are broken down into easy-to-understand lessons using real-life examples. Flexible and Accessible: Designed for all levels, whether your student is new to statistics or looking to deepen their understanding. Who Should Take This Class? Students interested in math, STEM fields, or careers in data science. Homeschoolers seeking a structured, instructor-led curriculum. Teens looking to boost their skills for advanced courses or college readiness.
学習到達目標
Students will learn the following:
1. Basic Probability Concepts:
- Understand the fundamental principles of probability.
- Calculate probabilities of simple and compound events.
- Apply probability rules to solve problems.
2. Probability Distributions:
- Identify and describe different types of probability distributions, including binomial
and normal distributions.
- Calculate probabilities using probability distribution functions.
- Interpret probabilities in real-world contexts.
3. Descriptive Statistics:
- Calculate and interpret measures of central tendency, including mean, median, and
mode.
- Calculate and interpret measures of variability, including standard deviation and
variance.
- Use descriptive statistics to summarize and describe data sets.
4. Inferential Statistics:
- Understand the concepts of population and sample.
- Conduct hypothesis tests to make inferences about population parameters.
- Construct and interpret confidence intervals.
5. Real-World Applications:
- Apply probability and statistics concepts to real-life situations, such as analyzing
sports data, predicting outcomes, and evaluating risks.
- Use statistical software or tools to perform data analysis.
6. Critical Thinking and Problem-Solving:
- Analyze and interpret data critically.
- Formulate hypotheses and design experiments.
- Draw conclusions based on statistical evidence.
By the end of the course, students will have a solid understanding of probability and statistics and be able to apply their knowledge to analyze data and make informed decisions.
シラバス
カリキュラム
Teacher-Created カリキュラムに準拠5 ユニット
10 レッスン
5 週間以上ユニット 1: Discovering Probability: An Introduction to Basic Concepts
レッスン 1:
Understanding Probability Fundamentals: What Are Chances?
In this introductory lesson, students will dive into the world of probability, exploring fundamental concepts and understanding the basics of chance. 7 分のビデオレッスン
レッスン 2:
Exploring Probability Rules: Navigating the Probability Landscape
In this lesson, students will delve deeper into the world of probability, learning about essential rules and principles that govern how probabilities work. 10 分のビデオレッスン
ユニット 2: Exploring Probability Distributions
レッスン 3:
Understanding Probability Distributions: Patterns in Probability
In this lesson, students will explore probability distributions, understanding how probabilities are spread across different outcomes. 12 分のビデオレッスン
レッスン 4:
Applying Probability Distributions: Predicting Real-World Scenarios
In this lesson, students will explore applying distributions in real-world scenarios. 10 分のビデオレッスン
その他の情報
学習ニーズ
This class is intentionally designed to support various learning needs, including but not limited to ADHD, dyslexia, and ASD.
受講の前提条件
No specific prerequisites required. Basic understanding of math, including arithmetic, fractions, and decimals, is beneficial. Familiarity with variables and equations is helpful but not mandatory.
受講に必要なもの
For this class, learners will need the following materials: 1. Statistical Software: - Access to Google Sheets 2. Online Textbook - CK-12 Probability and Statistics Concepts 3. Notebook and Writing Utensils: - A notebook or paper for taking notes and working on exercises. - Writing utensils such as pens and pencils. 4. Computer and Internet Access: - Access to a computer or laptop with internet connection for accessing course materials, online resources, and statistical software. 5. Supplies - Learners will need dice and a standard deck of cards. Please note that all course materials and curriculum will be provided by the instructor. The listed materials are for students' personal use and to support their learning experience throughout the course.
指導言語
英語
外部リソース
このクラスでは、Outschool内のクラスルームに加えて、以下を使用します。
使用する教材
We will refer to CK-12 Probability and Statistics Concepts throughout the class.
参加しました November, 2022
4.9
52レビュー
Rising Star
教師の専門知識と資格
3 学位
博士号 Capella University から 教育 へ
修士号 Capella Universityから 心理学 へ
学士号 Liberty Universityから 心理学 へ
As the instructor for this course, I bring a strong background in both psychology and education, with a Master's degree in Psychology and a Doctorate in Education. Additionally, I am an experienced researcher who regularly utilizes statistical methods in my work. I have taught statistics at the college level as a college instructor, providing me with practical experience in effectively teaching these concepts to students. レビュー
自分のペースで学べるコース
$10
毎週10 録画済みレッスン
5 間の講師サポート
開始日を選択してください
コンテンツへの 1 年間のアクセス
42 人がクラスを受けました
開始日を選択してください
年齢: 13-18
