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Statistics Foundations: 2

Offered By: LinkedIn Learning

Tags

Statistics & Probability Courses Data Analysis Courses Hypothesis Testing Courses Central Limit Theorem Courses Confidence Intervals Courses Sampling Courses

Course Description

Overview

Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.

Syllabus

Introduction
  • Discover samples, confidence intervals, and hypothesis testing
1. Sampling
  • Sample considerations
  • Random samples
  • Alternative to random samples
2. Sample Size
  • The importance of sample size
  • The central limit theorem
3. Standard Error
  • Standard error for proportions
  • Sampling distribution of the mean
  • Standard error for means
4. Confidence Intervals
  • Introduction to confidence intervals
  • Components of a confidence interval
  • Creating a 95% confidence interval for a population
  • Alternative confidence intervals
  • Confidence intervals with unexpected outcomes
5. Hypothesis Tests
  • Hypothesis test introduction
  • Hypothesis test : Step-by-step
  • One-tailed vs. two-tail tests
  • Significance test for proportions
  • Significance test for means
  • Type one and type two errors
6. Continuing Your Statistics Learning Journey
  • Next steps and additional resources

Taught by

Eddie Davila

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