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Advanced Statistical functions in EXCEL 2010 (Part 2)

Course Summary

Learn how to use advanced statistical functions in EXCEL 2010

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Course Syllabus

• Welcome to Statistical functions in EXCEL 2010 (Part 2 -Intermediate and Advanced)
• What this class is about
• How to insert functions into EXCEL 2010 main window
• Functions related to the normal or bell-shaped distribution
• Normal Distribution NORM.DIST function
• Finding the standard normal distribution probabilities
• Finding the inverse of a normal distribution
• Find the inverse (Z-value) of the standard normal distribution
• How to plot the standard normal distribution curve
• Creating a standard normal distribution table
• How to standardize by computing the Z value
• Using a Z-test to test an hypothesis about the population mean
• Computing the margin of error for a large sample size confidence interval about the population mean
• Functions related to the Student t distribution
• Obtaining a left-tailed P-value about the population mean with T.DIST
• Finding the critical table value corresponding to a left-tailed student t distribution
• Finding the critical table value corresponding to a two-tailed t distribution
• Finding the right-tailed P-value using for testing a population mean using Student t distribution
• Finding a two-tailed P-value when testing an hypothesis about the mean using Student t distribution
• Creating a Student t table with a T.INV function
• Testing hypothesis about two populations means using Student t-test
• Computing the margin of error for estimating a population mean using Student t distribution
• Computing Chi-square distribution probabilities and critical values
• Finding the left-tailed P-value for testing an hypothesis about the population variance using chi.dist
• Finding the right-tailed P-value for testing an hypothesis about a population variance using the Ch square distribution
• Finding the critical table value for testing a left-tailed hypothesis about a population variance using Chi Square distribution
• Find the critical table value for testing a right-tailed hypothesis about a population variance using the Chi square distribution
• Testing an hypothesis of independence using the Chi square test
• Computing F-Distribution probabilities
• Computing a left-tailed P-value for testing the equality of two population variances using the F distribution
• Computing a right-tailed P-value for testing the equality of two populations variances using the F-distribution
• Finding a right-tailed critical value for testing two variances using the F.INV.RT
• Testing equality of two populations variances with the F-test
• Other advanced Statistical functions in EXCEL 2010
• Computing Exponential distribution probabilities
• Fitting exponential growth models to data with the growth function
• Evaluating Gamma distribution probabilities
• Computing factorials with the Gamma related functions
• Computing probabilities of the Negative binomial distribution
• Using the Log normal distribution function to compute probabilities
• Finding the inverse of Log normal distribution
• Using the Weibull distribution to compute probabilities
• Practice project files and Quizzes
• Project and practice files
• Solving problems using the normal distribution (Part1)
• Find probabilities under the standard normal distribution
• Finding the left tailed P-value for a Student t distribution
• Finding the right-tailed P-value for a Student t distribution
• Finding the two tailed P-value for a Student t distribution
• Practice using the inverse of the standard normal distribution
• Finding the inverse of the Student t distribution
• Closing remarks and follow up
• Closing remarks and suggestions

Course Fee:
USD 99

Self-Study

Course Status:

Active

1 - 4 hours / week

This course is listed under Development & Implementations and Quality Assurance & Testing Community

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