Excel Statistical Analysis - Learn Central Limit Theorem by Building Sampling Distribution of Xbar

Excel Statistical Analysis - Learn Central Limit Theorem by Building Sampling Distribution of Xbar

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) Learning how the Standard Deviation (Standard Error) Formula is created from Sampling Distribution of Sample Means (Xbar)

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8 of 21

) Learning how the Standard Deviation (Standard Error) Formula is created from Sampling Distribution of Sample Means (Xbar)

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Excel Statistical Analysis - Learn Central Limit Theorem by Building Sampling Distribution of Xbar

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  1. 1 ) Introduction
  2. 2 ) Building a Sampling Distribution of Sample Means (Xbar)
  3. 3 ) XLOOKUP to lookup all values for all possible samples.
  4. 4 ) Proving that Mean of Sampling Distribution of Sample Means (Xbar) is equal to Population Mean
  5. 5 ) Build Frequency Distribution & Histograms using worksheet formulas. See SEQUENCE and COUNTIFS functions to discover that the pattern for the Sampling Distribution of Sample Means (Xbar) is Normal, …
  6. 6 ) Sampling Distribution of Sample Means (Xbar) has less spread than Population Data
  7. 7 ) Central Limit Theorem and its use to make decisions
  8. 8 ) Learning how the Standard Deviation (Standard Error) Formula is created from Sampling Distribution of Sample Means (Xbar)
  9. 9 ) Standard Error Formula
  10. 10 ) Correction Factor for Standard Error
  11. 11 ) Relationship between Sample Size, Standard Error and the probability associated with a given interval with a lower and upper value
  12. 12 ) Sampling Distribution, Normal Bell Distribution Model and the Central Limit Theorem to make business decisions
  13. 13 ) First mention of t distribution
  14. 14 ) Check reasonableness of a claim with two statistical methods: Hypothesis Testing and Confidence Intervals
  15. 15 ) Hypothesis Testing to assess whether a claim is reasonable: Insurance Policy Price example. See Excel functions: NORM.S.DIST, NORM.S.INV
  16. 16 ) Confidence Intervals to assess whether a claim is reasonable: Insurance Policy Price example
  17. 17 ) Confidence Intervals to estimate a range of values for a population mean: Computer Printer Cartridge example
  18. 18 ) t Distribution example. See the Excel function: T.INV
  19. 19 ) Assessing reasonableness of Manufacture sample. See Excel functions: NORM.DIST and NORM.S.DIST to calculate p-value
  20. 20 ) Summary of video
  21. 21 ) Closing, Next Video and Video Links

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