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Statistics 1

Statistics 1

  • Last updated Jul 09, 2024
  • 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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Content

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.

Discover the properties of the normal distribution and its importance in statistical analysis. Learn how to standardize data and use z-scores to make comparisons.

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.

Requirements

An eager mind

Creator

Dennis DiNoia
  • 762 Learners
  • 17 Courses

Statistics 1
  • Learners9
  • Sections13
  • Lessons64
  • Skill LevelIntermediate
  • Language English
  • Certificate No
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