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Saylor University

MA121: Introduction to Statistics

via Saylor University

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Overview

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An introductory statistics course covering statistics and data, elements of probability and random variables, sampling distributions, estimation with confidence intervals, hypothesis testing, and linear regression. Includes a study guide and a final certificate exam, and is suited to learners with no prior statistics background who want a college-level foundation.

Syllabus

  • Course Introduction
  • Unit 1: Statistics and Data
  • Unit 2: Elements of Probability and Random Variables
  • Unit 3: Sampling Distributions
  • Unit 4: Estimation with Confidence Intervals
  • Unit 5: Hypothesis Test
  • Unit 6: Linear Regression
  • Study Guide
  • Course Feedback Survey
  • Certificate Final Exam
  • Saylor Direct Credit

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Ihsanullah Sideqi
    Ihsanullah Sideqi
    1
    The Introduction to Statistics course provides a clear and well-structured foundation for understanding basic statistical concepts. The lessons are presented in an organized manner, with practical examples that make the topics easier to understand. I especially liked how the instructor explains probability, data analysis, and hypothesis testing in simple language. This course is very useful for beginners and helps build strong skills for future statistical studies. I would definitely recommend it to students who want to develop solid analytical thinking.
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