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Introduction to Confidence Intervals
2
Deriving a Confidence Interval for the Mean (The Rationale Behind the Confidence Interval Formula)
3
Intro to Confidence Intervals for One Mean (Sigma Known)
4
Finding the Appropriate z Value for the Confidence Interval Formula (Using a Table)
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Confidence Intervals for One Mean: Interpreting the Interval
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What Factors Affect the Margin of Error? (In a Confidence Interval for One Mean)
7
Confidence Intervals for One Mean: Sigma Not Known (t Method)
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Introduction to the t Distribution (non-technical)
9
Confidence Intervals for One Mean: Determining the Required Sample Size
10
Confidence Intervals for One Mean: Investigating the Normality Assumption
Description:
Learn the fundamentals of confidence intervals for a single population mean in this comprehensive 1.5-hour tutorial. Explore both Z (sigma known) and t (sigma unknown) methods, understand the interpretation of intervals, and examine the underlying assumptions. Discover how to derive confidence intervals, use appropriate z and t values, and interpret results. Investigate factors affecting margin of error, determine required sample sizes, and assess the normality assumption. Gain practical knowledge on constructing and applying confidence intervals to real-world statistical problems.

Confidence Intervals for a Population Mean

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