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Business Analytics: Understanding and Using Confidence Intervals

Business Analytics: Understanding and Using Confidence Intervals

1h 1mAdvanced2019-04-25

Authors

Conrad Carlberg

Conrad Carlberg

Writer and Consultant in Quantitative and Statistical Analysis

Course details

Confidence intervals are a family of statistical techniques that show up, often in unexpected guises, in your personal and professional lives. Whether you’re looking at reference ranges on blood tests or the range of risk you assume when you enter a new line of business, confidence intervals enable you to summarize data in a way that pinpoints an outcome, while also considering a range of other possibilities for context—so it's helpful to understand what they mean and how they work. In this course, Conrad Carlberg discusses just that, sharing basic techniques for constructing and interpreting confidence intervals. Conrad digs into the purpose of confidence intervals; how to calculate them (including how to do so using R and Excel); how to compare means using confidence intervals; and more.

Skills covered

Business AnalyticsMicrosoft ExcelData ScienceMicrosoftDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - The applicability of confidence intervals

1. The Use of Confidence Intervals

  • 02 - Confidence intervals in everyday life
  • 03 - Purpose of confidence intervals
  • 04 - The calculation of confidence intervals
  • 05 - Sample and a population parameters
  • 06 - Interpret confidence intervals
  • 07 - Choose and calculate the right standard error
  • 08 - Distributions - z versus t
  • 09 - Arrange for the original metric
  • 10 - Calculate confidence intervals with software

2. Hypothesis Testing with Two Means

  • 11 - Compare means using confidence intervals
  • 12 - Design the analysis
  • 13 - Quantify the mean difference
  • 14 - Use R to compare means

Conclusion

  • 15 - Next steps

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