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Complete Guide to Excel Statistics with Copilot

Complete Guide to Excel Statistics with Copilot

8h 35mAdvanced2025-02-28

Authors

Eddie Davila

Eddie Davila

Associate Chair for the ASU Supply Chain Management program

Course details

Data isn’t valuable until you put it to good use. Statistics transforms data into meaningful information, enabling organizations to make better decisions and predictions. That’s why statistics—collecting, analyzing, and presenting data—is a valuable skill for anyone in business or academia. In this course, statistics and business analysis instructor Eddie Davila takes you on a nuanced, step-by-step journey to mastering statistics in Excel using the power of Microsoft Copilot. Eddie first teaches the basic principles of statistics with a series of examples, then advances your understanding by extending those same examples into more complex applications of statistical theory—all while using Excel and its statistics tools and functions, and leveraging Copilot to optimize your workflow.

Learning objectives
Demonstrate proficiency in utilizing Excel's built-in functions and tools, such as the RAND function and Descriptive Statistics tool, to generate and analyze datasets, including measures of central tendency, variability, and data visualization techniques like frequency tables and histograms.
Apply fundamental probability concepts, including permutations, combinations, addition and multiplication rules, conditional probability, and probability trees, within the Excel environment, leveraging Copilot for assistance and guidance.
Analyze both discrete and continuous probability distributions, such as the binomial distribution and normal distribution, within Excel, including calculating probabilities, z-scores, and creating normal curves.
Perform statistical inference techniques in Excel, such as constructing confidence intervals, conducting hypothesis tests for means and proportions, comparing two populations, and implementing Analysis of Variance (ANOVA) for analyzing differences among group means.
Utilize Excel for regression analysis, including linear regression, and understand the application of simulations, such as Monte Carlo simulations, for modeling and analyzing real-world scenarios, with the assistance of Copilot throughout the process.

Skills covered

Microsoft Excel for MacMicrosoft CopilotStatisticsSpreadsheetsMicrosoft ExcelAI Productivity ToolsArtificial Intelligence for BusinessData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsMicrosoftOne-Off

Concepts

0. Introduction

  • 01 - Using Excel for statistics
  • 02 - What you need to know
  • 03 - Using the exercise files
  • 04 - Excel on Mac or PC
  • 05 - Using Copilot

1. Starting with Excel

  • 06 - Excel basics
  • 07 - Random number generator
  • 08 - Copilot - Basic assistance

2. Dataset Basics

  • 09 - SUM, COUNT, MAX, MIN, and Range
  • 10 - Means, medians, and modes
  • 11 - Copilot - Dataset exploration

3. Looking at Data

  • 12 - Frequency table
  • 13 - Histogram
  • 14 - Copilot - Tables and charts

4. Dataset Variability

  • 15 - Standard deviation
  • 16 - Normal curve and normal distribution
  • 17 - Skewness and kurtosis
  • 18 - Empirical rule
  • 19 - Copilot - Measuring variability

5. Excel Descriptive Tools

  • 20 - Descriptive tool
  • 21 - Descriptive tool exercise
  • 22 - Copilot - Descriptive tool

6. Basic Probability Concepts

  • 23 - Probability explained
  • 24 - Percentiles
  • 25 - Permutations
  • 26 - Combinations
  • 27 - Addition rule of probability
  • 28 - Multiplication rule of probability
  • 29 - Conditional probability and probability trees
  • 30 - Copilot - Probability

7. Discrete Probabilities

  • 31 - Discrete probability explained
  • 32 - Discrete - Mean
  • 33 - Discrete - Standard deviation
  • 34 - Discrete - Binomial distribution
  • 35 - Copilot - Discrete probability

8. Continuous Probabilities

  • 36 - Continuous - Z-score tables
  • 37 - Continuous - Creating a normal curve in Excel
  • 38 - Continuous - Calculating normal distribution probabilities
  • 39 - Copilot - Continuous probability
  • 40 - Getting ready for part two

9. Sampling

  • 41 - Sample considerations
  • 42 - The central limit theorem
  • 43 - t-statistic vs. z-statistic
  • 44 - Copilot - Sampling concepts

10. Confidence Intervals

  • 45 - Introduction to confidence intervals
  • 46 - Creating confidence intervals in Excel - Proportions
  • 47 - Creating confidence intervals in Excel - Means
  • 48 - Copilot - Confidence intervals

11. Hypothesis Tests

  • 49 - How to test a hypothesis
  • 50 - Five steps of hypothesis testing
  • 51 - One-tailed vs. two-tailed tests
  • 52 - Hypothesis test exercise - Means
  • 53 - Hypothesis test exercise - Proportions
  • 54 - Copilot - Hypothesis testing

12. Comparing Two Populations

  • 55 - Explanation of two population comparisons
  • 56 - Comparing two populations - Proportions
  • 57 - Comparing two populations - Means
  • 58 - Copilot - Comparing two populations

13. ANOVA - Analysis of Variance

  • 59 - ANOVA - What is analysis of variance
  • 60 - Hypothesis test and the F-statistic
  • 61 - Copilot - ANOVA

14. Regression

  • 62 - What is regression
  • 63 - Regression terminology
  • 64 - Linear regressions
  • 65 - Copilot - Linear regression

15. Simulation

  • 66 - Business simulation example
  • 67 - Copilot - Simulations

Conclusion

  • 68 - Continue learning Excel statistics

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