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Probability and Statistics: Exploring the World of Data Analysis
Completed by 51 learners
Ages 13-18
Self-Paced Course
Average rating:
4.9
Number of reviews:(57 reviews)
10 pre-recorded lessons
5 weeks of teacher support
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1 year of access to the content
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Your learner can start learning when they want and progress at the speed that works best for them.Start when you want.
Learn at your own pace
Access course material for a full year.
Get hands-on support from teacher.
What's included
10 pre-recorded lessons
5 weeks
of teacher support1 year access
to the contentHomework
1-2 hours per week. 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.Grading
Grades will be provided by request.Class Experience
US Grade 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.
Learning Goals
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.Syllabus
Curriculum
Follows Teacher-Created Curriculum5 Units
10 Lessons
over 5 WeeksUnit 1: Discovering Probability: An Introduction to Basic Concepts
Lesson 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 mins of video lessons
Lesson 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 mins of video lessons
Unit 2: Exploring Probability Distributions
Lesson 3:
Understanding Probability Distributions: Patterns in Probability
In this lesson, students will explore probability distributions, understanding how probabilities are spread across different outcomes. 12 mins of video lessons
Lesson 4:
Applying Probability Distributions: Predicting Real-World Scenarios
In this lesson, students will explore applying distributions in real-world scenarios. 10 mins of video lessons
Other Details
Learning Needs
This class is intentionally designed to support various learning needs, including but not limited to ADHD, dyslexia, and ASD.
Pre-Requisites
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.
Supply List
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.
Language of Instruction
English
External Resources
In addition to the Outschool classroom, this class uses:
Sources
We will refer to CK-12 Probability and Statistics Concepts throughout the class.
Meet the teacher
Teacher expertise and credentials
3 Degrees
Doctoral Degree in Education from Capella University
Master's Degree in Psychology from Capella University
Bachelor's Degree in Psychology from 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. Reviews
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