機率與統計：探索資料分析的世界
在這個引人入勝的自定進度課程中探索機率和統計！透過互動課程和真實範例，學習機率規則、分佈和描述性統計等關鍵概念。
Kaitlyn B, Ed.D.
平均評分：
5.0
評論數量：(48)
明星教育家
包含什麼
10 預錄課程
5 週
教師的支持1 年訪問權
到內容作業
每週 1-2 小時. 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.等級
Grades will be provided by request.我們無法翻譯此文，請刷新頁面並再試一次。
課堂經歷
英語程度 - 未知
美國 8 - 11 年級
Welcome to "Probability and Statistics: Exploring the World of Data Analysis"! In this engaging 5-week course, students will embark on an immersive journey into the fascinating world of probability and statistics, gaining essential skills in data analysis along the way. Students will learn fundamental concepts in probability and statistics, including basic probability rules, probability distributions, descriptive statistics, and inferential statistics. What topics will you cover? - Introduction to Probability - Probability Distributions (binomial, normal, etc.) - Descriptive Statistics (mean, median, mode, standard deviation) - Inferential Statistics (hypothesis testing, confidence intervals) - Real-World Applications - Review and Final Project Each week, students will explore a different aspect of probability and statistics. The class is self-paced, allowing students to progress at their own speed while still having access to instructor support. My teaching style is interactive and engaging, with a focus on making complex concepts accessible and understandable. Students will have plenty of opportunities to interact with both me throughout the course. Join us on this exciting journey into the world of data analysis! Let's explore probability and statistics together and uncover the secrets hidden within the numbers.
學習目標
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.
教學大綱
課程
遵循 Teacher-Created 課程5 單位
10 課程
超過 5 週單位 1: Discovering Probability: An Introduction to Basic Concepts
課 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 分鐘的影片課程
課 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 分鐘的影片課程
單位 2: Exploring Probability Distributions
課 3:
Understanding Probability Distributions: Patterns in Probability
In this lesson, students will explore probability distributions, understanding how probabilities are spread across different outcomes. 12 分鐘的影片課程
課 4:
Applying Probability Distributions: Predicting Real-World Scenarios
In this lesson, students will explore applying distributions in real-world scenarios. 10 分鐘的影片課程
其他詳情
學習需求
This class is intentionally designed to support various learning needs, including but not limited to ADHD, dyslexia, and ASD.
先決條件
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.
供應清單
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.
已加入 November, 2022
5.0
48評論
明星教育家
教師專業知識和證書
3 個學位
博士學位 在 教育 從 Capella University
碩士 在 心理學 從 Capella University
學士學位 在 心理學 從 Liberty University
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. 
