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LinkedIn Learning
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Description
Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.
Tags
Syllabus
Introduction
- Discover samples, confidence intervals, and hypothesis testing
- Sample considerations
- Random samples
- Alternative to random samples
- The importance of sample size
- The central limit theorem
- Standard error for proportions
- Sampling distribution of the mean
- Standard error for means
- 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
- 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
- Next steps and additional resources
Statistics Foundations: Using Data Sets
Affiliate notice
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TypeOnline Courses
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ProviderLinkedIn Learning
Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.
Introduction
- Discover samples, confidence intervals, and hypothesis testing
- Sample considerations
- Random samples
- Alternative to random samples
- The importance of sample size
- The central limit theorem
- Standard error for proportions
- Sampling distribution of the mean
- Standard error for means
- 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
- 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
- Next steps and additional resources
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