EME 210
Data Analytics for Energy Systems

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Traditional Statistical Inference

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Traditional Statistical Inference 

 Read It: Summary of Traditional Statistical Inference

Recall from earlier in the lesson, you used the z* values and the z-statistics to calculate confidence intervals and p-values. You can also use those values to make conclusions from each of the hypothesis tests that we covered in Lesson 5. Below is a table that outlines how to fond the standard error, confidence interverals, and p-value for each of the hypothesis tests using the z-related formlas. 

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Table showing the forumlae needed to calculate the standard error, confidence interval, and p-value for each hypothesis test discussed in Lesson 5. 
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Single Proportion

  • Sample Statistic: p ^
  • Standard Error: p ^ ( 1 p ^ ) n
  • Confidence Interval: p ^ ± z × p ^ ( 1 p ^ ) n
  • Hypothesis Test Statistic: p ^ p 0 p 0 ( 1 p 0 ) n

Single Mean

  • Sample Statistic: x ¯
  • Standard Error: s n
  • Confidence Interval: x ¯ ± t × s n
  • Hypothesis Test Statistic: x ¯ μ 0 s / n

Difference in Proportions

  • Sample Statistic: p ^ 1 p ^ 2
  • Standard Error: p ^ 1 ( 1 p ^ 1 ) n 1 + p ^ 2 ( 1 p ^ 2 ) n 2
  • Confidence Interval: ( p ^ 1 p ^ 2 ) ± z × S E
  • Hypothesis Test Statistic: ( p ^ 1 p ^ 2 ) 0 p ^ 1 ( 1 p ^ 1 ) n 1 + p ^ 2 ( 1 p ^ 2 ) n 2

Difference in Means

  • Sample Statistic: x ¯ 1 x ¯ 2
  • Standard Error: s 1 2 n 1 + s 2 2 n 2
  • Confidence Interval: ( x ¯ 1 x ¯ 2 ) ± t × S E
  • Hypothesis Test Statistic: ( x ¯ 1 x ¯ 2 ) 0 s 1 2 n 1 + s 2 2 n 2

Paired Difference in Means

  • Sample Statistic: x ¯ d
  • Standard Error: s d n d
  • Confidence Interval: x ¯ d ± t × s d n d
  • Hypothesis Test Statistic: x ¯ d 0 s d / n d
Credit: Eugene Morgan & Renee Obringer © Penn State is licensed under CC BY-NC-SA 4.0(link is external)

Download pdf: Summary of Types of Inference