Title:
Calculating the winning probability of a prize drawing | lynda.com tutorial
Video:
Description:This Excel tutorial shows how to use the hypergeometric distribution to calculate the expected value and winning probability of a prize drawing. Watch more at www.lynda.com This specific tutorial is just a single movie from chapter five of the Excel 2007: Business Statistics course presented by lynda.com author Curt Frye. The complete Excel 2007: Business Statistics course has a total duration of 4 hours and 19 minutes and covers formulas and functions for calculating averages and standard deviations, charts and graphs for summarizing data, and the Analysis ToolPak add-in for even greater insights into data. Excel 2007: Business Statistics table of contents: Introduction 1. Introducing Statistics 2. Learning Useful Excel Techniques 3. Summarizing Data Using Tables and Graphics 4. Describing Data Using Numerical Methods 5. Using Probability Distributions 6. Sampling Values from a Population 7. Testing Hypotheses 8. Using Linear and Multiple Regression Conclusion
Published:
13/Dec/2010
Calculating the winning probability of a prize drawing | lynda.com tutorial
Video:
Description:This Excel tutorial shows how to use the hypergeometric distribution to calculate the expected value and winning probability of a prize drawing. Watch more at www.lynda.com This specific tutorial is just a single movie from chapter five of the Excel 2007: Business Statistics course presented by lynda.com author Curt Frye. The complete Excel 2007: Business Statistics course has a total duration of 4 hours and 19 minutes and covers formulas and functions for calculating averages and standard deviations, charts and graphs for summarizing data, and the Analysis ToolPak add-in for even greater insights into data. Excel 2007: Business Statistics table of contents: Introduction 1. Introducing Statistics 2. Learning Useful Excel Techniques 3. Summarizing Data Using Tables and Graphics 4. Describing Data Using Numerical Methods 5. Using Probability Distributions 6. Sampling Values from a Population 7. Testing Hypotheses 8. Using Linear and Multiple Regression Conclusion
Published:
13/Dec/2010
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