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Statistics 1

Statistics 1

  • Last updated Dec 23, 2023
  • English

What you'll learn

In this course you can learn about the following topics.

Introduction to Statistics, Descriptive Statistics, Probability Fundamentals, Conditional Probability, Normal Distribution, Sampling Methods, Simple Random Sampling, Stratified Sampling, Cluster Sampling, Data Visualization, Exploring Bar Charts, Analyzing Histograms and Hypothesis Testing

This course will allow you grasp the meanings of the topics as well as provide examples.

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Get an overview of the field of statistics, its importance, and its applications. Learn about different types of data and the basic principles of data collection.

Explore measures of central tendency, such as mean, median, and mode, and measures of variability, such as range and standard deviation. Understand how to summarize and interpret data effectively.

Delve into the world of probability and learn about basic probability concepts, including sample spaces, events, and probability calculations. Apply probability to real-life scenarios.

Extend your understanding of probability by exploring conditional probability. Learn how to calculate conditional probabilities and apply them to solve problems.

Explore different sampling methods and understand their advantages and disadvantages. Learn about simple random sampling, stratified sampling, and cluster sampling.

Dive deeper into simple random sampling and learn how to select a random sample from a population using various techniques. Understand the importance of representative samples.

Master the technique of stratified sampling and learn how to divide a population into homogeneous groups and select proportional samples from each group. Understand the benefits of using stratified sampling.

Dive into cluster sampling and understand how to divide a population into clusters and select a representative sample of clusters. Learn about the advantages and challenges of cluster sampling.

Learn the art of presenting data visually through various techniques. Explore bar charts, histograms, and other visualization methods to effectively communicate insights.

Deepen your understanding of bar charts and learn how to create and interpret them. Discover different types of bar charts and their applications in data analysis.

Become proficient in analyzing histograms and understanding their characteristics. Explore the uses of histograms in representing data distributions.


An eager mind


Dennis DiNoia, M.A.Ed has been immersed in education for over 35 years.  He holds a M.A. in Education from the University of South Florida.  He is affectionately known to his students as “Mr. D”.

His online e-Learning programs have students across the entire United States and Mr. D has worked with students on 5 different continents! Mr. D is a pioneer in “live online class” which he began leading in 2013 as well as digital e-Learning courses he launched in 2010. 

Mr. D’s first book “TEACH – creating independently responsible learners” was released last year and has been a top seller in the home education market.

Mr. D’s podcast brings top homeschooling educators, parents and students with a story to tell.  

Mr. D is a favorite speaker at homeschool conventions as his upbeat speaking style and hands-on presentations leave attendees inspired to be homeschool parents and students.

Now as part of The Great Discovery executive team, Mr. D brings his knowledge of e-Learning to learners beyond the home education market.

Statistics 1
  • Learners7
  • Sections13
  • Lessons64
  • Skill LevelIntermediate
  • Language English
  • Certificate No
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