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Understanding Statistical functions in EXCEL 2010 (Part 1)

Course Summary

Learn how to compute and apply basic excel statistical functions using EXCEL 2010.

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    Course Syllabus

    • Welcome to Statistical functions in EXCEL 2010
      • About Statistical functions in EXCEL 2010, (Part 1)
      • About the statistical functions that we will cover
      • Using EXCEL 2010 main window to insert functions
      • Enabling the Analysis ToolPak in EXCEL 2010
    • Computing descriptive Statistical functions in EXCEL 2010
      • Computing a standard deviation
      • Computing Descriptive Statistics using EXCEL Analysis ToolPak library
      • Using the Analysis ToolPak Descriptive Statistics Library
      • Measures of central tendency of the data: Mean, median and mode
      • Obtaining the Trimmed mean of the data
      • Obtaining the Harmonic mean of the data
      • Finding average rate of speed with the harmonic mean
      • Obtaining the Geometric mean of the data
      • Finding the average rate of growth with GEOMEAN
      • Computing the Mean Average Deviation (MAD)
      • Computing the sum of squares deviations from the mean
      • Computing the sample variance of the data
      • Computing the population variance of the data
      • Sample standard deviation of the data
      • Population standard deviation of the data
      • Grouping the data with the Frequency function
      • Computing the coefficient of skewness of the data
      • Computing Pearson's coefficient of skewness
      • Calculating the Kurtosis of a sample data
      • Obtaining the kth smallest measurement of the data where k=1,2,...n
      • Obtaining the kth largest measurement of the data where K=1,2,..
      • Obtaining the sum of the measurements in a dataset
      • Obtaining percentiles with Percentiles.INC
      • Obtaining percentiles with Percentiles.EXC
      • Calculating the Percentile Rank of an observation
      • Finding percentiles rank
      • Application of Quartiles in data screening
      • Obtaining quartiles with Quartiles.EXC
      • Ranking data using Rank.EQ function
      • Ranking data using Rank.AVG function
      • Obtaining the Sum of Squares of Data
      • Obtaining the Minimum with the Min function
      • Obtaining the Maximum with the Max function
    • Analysis using Correlation, regression and forecasting functions
      • Using Pearson's correlation coefficient function
      • Calculating the sample covariance between two quantitative variables
      • Computing the sample correlation coefficient with CORREL
      • Forecasting data using the trend function
      • Forecasting future data with the Forecast function
      • Fitting a linear regression to data using XY Plot with options
      • Obtaining RSQUARE for the linear regression
      • Fitting the linear regession with LINEST function.
    • Using Discrete Probability Distribution functions
      • Computing the number of combinations of r elements among n elements
      • Using combinations in practice
      • Using the Permutation function
      • Finding the number of permutations
      • Using permutations to solve problems
      • Computing Binomial Probability Distribution Probabilities
      • Using the Probability function for discrete probability distributions tables
      • Calculating Hypergeometric Distribution Probabilities
      • Calculating Poisson Distribution Probabilities
      • Using the Factorial function to obtain the number of permutations of elements
      • Obtaining a random number in a fixed interval
      • Generating Random numbers
    • Graphical display of data
      • Creating a frequency bar graph
      • Creating a basic pie chart
      • Using Friedman and Diaconis technique to determine an optimal number of BINS
      • Creating a Histogram using some pre-determined BINS
      • Creating a relative frequency bar graph
    • Final project and EXAM
      • Applying the concepts to real world examples
      • Obtaining Descriptive Statistics with the Analysis ToolPak
      • Important files for practice and final exam material
    • Thank you for taking the class and follow up
      • Thank you and next steps about the class: Statistical Functions (Part 2)

Course Fee:
USD 99

Course Type:


Course Status:



1 - 4 hours / week

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