# ANOVA Test

Done in Excel

For Better PPC Marketing

If you have ever run a pay-per-click campaign, you’ve probably wondered which factors really made a difference in the click-through rates. Are the headlines really making a difference in CTR? Does the ad text have any affect on CTR? What about the interaction between ad text and headline?

The good news is that there is a statistical tool in Excel designed just for a test like that. The tool is called ANOVA: Two Factor With Replication. Here is a video which shows exactly how to perform this test.

**Step-By-Step Video On How To Increase Your Click-Through Rate With ANOVA in Excel**

*(Is Your Sound Turned On?)*

We Used ANOVA To Test for the Following

We Used ANOVA To Test for the Following

To sum up this test, we are determining whether one or both of two factors (headline and ad text) and/or the interaction between the two affected click-through rate. We are replicating the same test in two environments: on Google and also on Yahoo pay-per-click advertising programs. The replication creates the opportunity to evaluate of whether interaction between Headline and Ad Text affected CTR.

**What Is ANOVA?**

ANOVA, Analysis of Variance, is a test to determine if three or more different methods or treatments have the same effect on a population. The basic test of ANOVA is the Null Hypothesis, which states that varying a factor has no effect on the output. Each factor and the interaction between the two factors has its own separate Null Hypothesis.

The Null Hypothesis connected with the headlines states that choice of headlines has no effect on the measured output, the click-through rate. The null Hypothesis connected with the ad text states that choice of headlines has no effect on the output. The Null Hypothesis connected with the interaction between headline and ad text states that this interaction has no effect on the click-through rate.

**Here's How We Ran Our ANOVA Test**

The test was run as follows: 3 headlines and three sets of ad text were created. Altogether there were 9 possible combinations of headline / ad text. All 9 ads were run for approximately equal number of times on both the Google and Yahoo paid search networks. The Excel tool: ANOVA: Two Factor With Replication will then be run on the results to determine with at least 95% certainty whether headline, ad text, and/or their interaction had an effect on the click-through rate.

This is how the data needs to be organized on the Excel spread sheet. The yellow-highlighted cells are the input data for the Excel ANOVA.

**Click On Image To See Enlarged View**The above video shows the Click-Through Rates results and also how to insert the data into Excel so the ANOVA test can be run on the data.

**How To Interpret the ANOVA Output From Excel**

**Click On Image To See Enlarged View**The Excel output of the test is fairly simple to interpret. The linked video above shows exactly how that is done. In a nutshell, a factor (headline, ad text, or interaction between the two) is said to affect the output (click-through rate) if the P Value associated with that factor is less than the alpha. The alpha is derived from the level of certainty required. Alpha = 100% - Level of Certainty. For example, if a 95% level of certainty is required, then the alpha = 0.05 (100% - 95% = 5% or 0.05). The P Value associated with a factor equals the probability that the output occurred by chance.

**The P Value Rule**

As a general rule, if the P Value of a factor is less that the alpha, then we can reject that factor’s Null Hypothesis, which states that varying the factor has no effect on the output.

On the other hand, if the P Value of a factor is greater than the alpha, we cannot reject that factor’s Null Hypothesis. We cannot say that varying the factor had an affect on the output.

In this case, we are able to state with 95% certainty that the headlines and interaction affected the output but not the ad text.

**Excel Master Series Blog Directory**

Statistical Topics and Articles In Each Topic

- Histograms in Excel
- Bar Chart in Excel
- Combinations & Permutations in Excel
- Normal Distribution in Excel
- Overview of the

Normal Distribution - Normal

Distribution’s PDF (Probability Density Function) in Excel 2010 and Excel 2013 - Normal

Distribution’s CDF (Cumulative Distribution Function) in Excel 2010 and Excel 2013 - Solving

Normal Distribution Problems in Excel 2010 and Excel 2013 - Overview of

the Standard Normal Distribution in Excel 2010 and Excel 2013 - An Important

Difference Between the t and Normal Distribution Graphs - The Empirical

Rule and Chebyshev’s Theorem in Excel – Calculating How Much Data Is a Certain Distance From the Mean - Demonstrating the

Central Limit Theorem In Excel 2010 and Excel 2013 In An Easy-To-Understand Way

- Overview of the
- t-Distribution in Excel
- Binomial Distribution in Excel
- z-Tests in Excel
- t-Tests in Excel
- Overview of t-Tests:

Hypothesis Tests that Use the t-Distribution - 1-Sample t-Tests in Excel
- Overview of the 1-Sample t-Test in Excel 2010 and Excel 2013
- Excel Normality Testing For the 1-Sample t-Test in Excel 2010 and Excel 2013
- 1-

Sample t-Test – Effect Size in Excel 2010 and Excel 2013 - 1-Sample

t-Test Power With G*Power Utility - Wilcoxon Signed-Rank Test As a 1-Sample t-Test Alternative in Excel 2010 and Excel 2013
- Sign Test As

a 1-Sample t-Test Alternative in Excel 2010 and Excel 2013

- 2-Independent-Sample Pooled t-Tests in Excel
- Overview of 2-Independent-Sample Pooled t-Test in Excel 2010 and Excel 2013
- Excel

Variance Tests: Levene’s, Brown-Forsythe, and F Test For 2-Sample Pooled t-Test in Excel 2010 and Excel 2013 - Excel

Normality Tests Kolmogorov-Smirnov, Anderson-Darling, and Shapiro Wilk Tests For Two-Sample Pooled t-Test - Two-Independent-Sample Pooled t-Test - All Excel Calculations
- 2-

Sample Pooled t-Test – Effect Size in Excel 2010 and Excel 2013 - 2-Sample

Pooled t-Test Power With G*Power Utility - Mann-Whitney U Test in Excel as 2-Sample Pooled t-Test Nonparametric Alternative in Excel 2010 and Excel 2013
- 2-

Sample Pooled t-Test = Single-Factor ANOVA With 2 Sample Groups

- 2-Independent-Sample Unpooled t-Tests in Excel
- 2-

Independent-Sample Unpooled t-Test in Excel 2010 and Excel 2013 - Variance

Tests: Levene’s Test, Brown-Forsythe Test, and F-Test in Excel For 2-Sample Unpooled t-Test - Excel

Normality Tests Kolmogorov-Smirnov, Anderson-Darling, and Shapiro-Wilk For 2-Sample Unpooled t-Test - 2-Sample

Unpooled t-Test Excel Calculations, Formulas, and Tools - Effect Size for a 2-Independent-Sample Unpooled t-Test in Excel 2010 and Excel 2013
- Test

Power of a 2-Independent Sample Unpooled t-Test With G-Power Utility

- 2-
- Paired (2-Sample Dependent) t-Tests in Excel
- Paired t-Test in Excel 2010 and Excel 2013
- Excel

Normality Testing of Paired t-Test Data - Paired

t-Test Excel Calculations, Formulas, and Tools - Paired t-Test – Effect Size in Excel 2010, and Excel 2013
- Paired t-Test – Test Power With G-Power Utility
- Wilcoxon Signed-Rank Test As a Paired t-Test Alternative
- Sign

Test in Excel As A Paired t-Test Alternative

- Overview of t-Tests:
- Hypothesis Tests of Proportion in Excel
- Hypothesis Tests

of Proportion Overview (Hypothesis Testing On Binomial Data) - 1-Sample Hypothesis

Test of Proportion in Excel 2010 and Excel 2013 - 2-Sample Pooled

Hypothesis Test of Proportion in Excel 2010 and Excel 2013 - How To Build a Much More

Useful Split-Tester in Excel Than Google's Website Optimizer

- Hypothesis Tests
- Chi-Square Independence Tests in Excel
- Chi-Square Goodness-Of-Fit Tests in Excel
- F Tests in Excel
- Correlation in Excel
- Pearson Correlation in Excel
- Spearman Correlation in Excel
- Confidence Intervals in Excel
- Overview of z-Based

Confidence Intervals of a Population Mean in Excel 2010 and Excel 2013 - t-Based Confidence

Intervals of a Population Mean in Excel 2010 and Excel 2013 - Minimum Sample

Size to Limit the Size of a Confidence interval of a Population Mean - Confidence Interval of

Population Proportion in Excel 2010 and Excel 2013 - Min Sample Size of

Confidence Interval of Proportion in Excel 2010 and Excel 2013

- Overview of z-Based
- Simple Linear Regression in Excel
- Overview of Simple

Linear Regression in Excel 2010 and Excel 2013 - Simple Linear

Regression Example in Excel 2010 and Excel 2013 - Residual Evaluation For

Simple Regression in Excel 2010 and Excel 2013 - Residual Normality Tests

in Excel – Kolmogorov-Smirnov Test, Anderson-Darling Test, and Shapiro-Wilk Test For Simple Linear Regression - Evaluation of

Simple Regression Output For Excel 2010 and Excel 2013 - All Calculations

Performed By the Simple Regression Data Analysis Tool in Excel 2010 and Excel 2013 - Prediction Interval of

Simple Regression in Excel 2010 and Excel 2013

- Overview of Simple
- Multiple Linear Regression in Excel
- Basics of Multiple

Regression in Excel 2010 and Excel 2013 - Multiple Linear

Regression Example in Excel 2010 and Excel 2013 - Multiple Linear

Regression’s Required Residual Assumptions - Normality Testing

of Residuals in Excel 2010 and Excel 2013 - Evaluating the Excel

Output of Multiple Regression - Estimating the

Prediction Interval of Multiple Regression in Excel - Regression - How

To Do Conjoint Analysis Using Dummy Variable Regression in Excel

- Basics of Multiple
- Logistic Regression in Excel
- Logistic Regression

Overview - Logistic Regression

Performed in Excel 2010 and Excel 2013 - R Square For Logistic

Regression Overview - Excel R Square

Tests: Nagelkerke, Cox and Snell, and Log-Linear Ratio in Excel 2010 and Excel 2013 - Likelihood Ratio Is

Better Than Wald Statistic To Determine if the Variable Coefficients Are Significant For Excel 2010 and Excel 2013 - Excel

Classification Table: Logistic Regression’s Percentage Correct of Predicted Results in Excel 2010 and Excel 2013 - Hosmer-

Lemeshow Test in Excel – Logistic Regression Goodness-of-Fit Test in Excel 2010 and Excel 2013

- Logistic Regression
- Single-Factor ANOVA in Excel
- Overview of Single-Factor

ANOVA - Single-Factor ANOVA

Example in Excel 2010 and Excel 2013 - Shapiro-Wilk

Normality Test in Excel For Each Single-Factor ANOVA Sample Group - Kruskal-Wallis Test

Alternative For Single Factor ANOVA in Excel 2010 and Excel 2013 - Levene’s and

Brown-Forsythe Tests in Excel For Single-Factor ANOVA Sample Group Variance Comparison - Single-Factor ANOVA - All

Excel Calculations - Overview of

Post-Hoc Testing For Single-Factor ANOVA - Tukey-Kramer

Post-Hoc Test in Excel For Single-Factor ANOVA - Games-Howell

Post-Hoc Test in Excel For Single-Factor ANOVA - Overview of Effect

Size For Single-Factor ANOVA - ANOVA Effect Size

Calculation Eta Squared in Excel 2010 and Excel 2013 - ANOVA Effect Size

Calculation Psi – RMSSE – in Excel 2010 and Excel 2013 - ANOVA Effect Size

Calculation Omega Squared in Excel 2010 and Excel 2013 - Power of Single-Factor

ANOVA Test Using Free Utility G*Power - Welch’s ANOVA Test

in Excel Substitute For Single-Factor ANOVA When Sample Variances Are Not Similar - Brown-Forsythe F-Test in

Excel Substitute For Single-Factor ANOVA When Sample Variances Are Not Similar

- Overview of Single-Factor
- Two-Factor ANOVA With Replication in Excel
- Two-Factor ANOVA With

Replication in Excel 2010 and Excel 2013 - Variance Tests: Levene’s

and Brown-Forsythe For 2-Factor ANOVA in Excel 2010 and Excel 2013 - Shapiro-Wilk

Normality Test in Excel For 2-Factor ANOVA With Replication - 2-Factor ANOVA With

Replication Effect Size in Excel 2010 and Excel 2013 - Excel Post Hoc

Tukey’s HSD Test For 2-Factor ANOVA With Replication - 2-Factor ANOVA With

Replication – Test Power With G-Power Utility - Scheirer-Ray-Hare

Test Alternative For 2-Factor ANOVA With Replication

- Two-Factor ANOVA With
- Two-Factor ANOVA Without Replication in Excel
- Creating Interactive Graphs of Statistical Distributions in Excel
- Interactive

Statistical Distribution Graph in Excel 2010 and Excel 2013 - Interactive Graph of the

Normal Distribution in Excel 2010 and Excel 2013 - Interactive Graph of the

Chi-Square Distribution in Excel 2010 and Excel 2013 - Interactive Graph

of the t-Distribution in Excel 2010 and Excel 2013 - Interactive Graph of

the t-Distribution’s PDF in Excel 2010 and Excel 2013 - Interactive Graph of

the t-Distribution’s CDF in Excel 2010 and Excel 2013 - Interactive Graph of the

Binomial Distribution in Excel 2010 and Excel 2013 - Interactive Graph of the

Exponential Distribution in Excel 2010 and Excel 2013 - Interactive Graph

of the Beta Distribution in Excel 2010 and Excel 2013 - Interactive Graph

of the Gamma Distribution in Excel 2010 and Excel 2013 - Interactive Graph of the

Poisson Distribution in Excel 2010 and Excel 2013

- Interactive
- Solving Problems With Other Distributions in Excel
- Solving Uniform

Distribution Problems in Excel 2010 and Excel 2013 - Solving Multinomial

Distribution Problems in Excel 2010 and Excel 2013 - Solving Exponential

Distribution Problems in Excel 2010 and Excel 2013 - Solving Beta

Distribution Problems in Excel 2010 and Excel 2013 - Solving Gamma

Distribution Problems in Excel 2010 and Excel 2013 - Solving Poisson

Distribution Problems in Excel 2010 and Excel 2013

- Solving Uniform
- Optimization With Excel Solver
- Maximizing Lead

Generation With Excel Solver - Minimizing Cutting

Stock Waste With Excel Solver - Optimal Investment

Selection With Excel Solver - Minimizing the Total

Cost of Shipping From Multiple Points To Multiple Points With Excel Solver - Knapsack Loading

Problem in Excel Solver – Optimizing the Loading of a Limited Compartment - Optimizing a Bond

Portfolio With Excel Solver - Travelling

Salesman Problem in Excel Solver – Finding the Shortest Path To Reach All Customers

- Maximizing Lead
- Chi-Square Population Variance Test in Excel
- Analyzing Data With Pivot Tables
- SEO Functions in Excel
- Time Series Analysis in Excel

**Click On Image To See Enlarged View**If you have any comments on this article, your input is highly valued!

**If You Like This, Then Share It...**

**Excel Master Series Blog Directory**

Statistical Topics and Articles In Each Topic

- Histograms in Excel
- Bar Chart in Excel
- Combinations & Permutations in Excel
- Normal Distribution in Excel
- Overview of the Normal Distribution
- Normal Distribution’s PDF (Probability Density Function) in Excel 2010 and Excel 2013
- Normal Distribution’s CDF (Cumulative Distribution Function) in Excel 2010 and Excel 2013
- Solving Normal Distribution Problems in Excel 2010 and Excel 2013
- Overview of the Standard Normal Distribution in Excel 2010 and Excel 2013
- An Important Difference Between the t and Normal Distribution Graphs
- The Empirical Rule and Chebyshev’s Theorem in Excel – Calculating How Much Data Is a Certain Distance From the Mean
- Demonstrating the Central Limit Theorem In Excel 2010 and Excel 2013 In An Easy-To-Understand Way

- t-Distribution in Excel
- Binomial Distribution in Excel
- z-Tests in Excel
- t-Tests in Excel
- Overview of t-Tests: Hypothesis Tests that Use the t-Distribution
- 1-Sample t-Tests in Excel
- Overview of the 1-Sample t-Test in Excel 2010 and Excel 2013
- Excel Normality Testing For the 1-Sample t-Test in Excel 2010 and Excel 2013
- 1-Sample t-Test – Effect Size in Excel 2010 and Excel 2013
- 1-Sample t-Test Power With G*Power Utility
- Wilcoxon Signed-Rank Test As a 1-Sample t-Test Alternative in Excel 2010 and Excel 2013
- Sign Test As a 1-Sample t-Test Alternative in Excel 2010 and Excel 2013

- 2-Independent-Sample Pooled t-Tests in Excel
- Overview of 2-Independent-Sample Pooled t-Test in Excel 2010 and Excel 2013
- Excel Variance Tests: Levene’s, Brown-Forsythe, and F Test For 2-Sample Pooled t-Test in Excel 2010 and Excel 2013
- Excel Normality Tests Kolmogorov-Smirnov, Anderson-Darling, and Shapiro Wilk Tests For Two-Sample Pooled t-Test
- Two-Independent-Sample Pooled t-Test - All Excel Calculations
- 2-Sample Pooled t-Test – Effect Size in Excel 2010 and Excel 2013
- 2-Sample Pooled t-Test Power With G*Power Utility
- Mann-Whitney U Test in Excel as 2-Sample Pooled t-Test Nonparametric Alternative in Excel 2010 and Excel 2013
- 2-Sample Pooled t-Test = Single-Factor ANOVA With 2 Sample Groups

- 2-Independent-Sample Unpooled t-Tests in Excel
- 2-Independent-Sample Unpooled t-Test in Excel 2010 and Excel 2013
- Variance Tests: Levene’s Test, Brown-Forsythe Test, and F-Test in Excel For 2-Sample Unpooled t-Test
- Excel Normality Tests Kolmogorov-Smirnov, Anderson-Darling, and Shapiro-Wilk For 2-Sample Unpooled t-Test
- 2-Sample Unpooled t-Test Excel Calculations, Formulas, and Tools
- Effect Size for a 2-Independent-Sample Unpooled t-Test in Excel 2010 and Excel 2013
- Test Power of a 2-Independent Sample Unpooled t-Test With G-Power Utility

- Paired (2-Sample Dependent) t-Tests in Excel
- Paired t-Test in Excel 2010 and Excel 2013
- Excel Normality Testing of Paired t-Test Data
- Paired t-Test Excel Calculations, Formulas, and Tools
- Paired t-Test – Effect Size in Excel 2010, and Excel 2013
- Paired t-Test – Test Power With G-Power Utility
- Wilcoxon Signed-Rank Test As a Paired t-Test Alternative
- Sign Test in Excel As A Paired t-Test Alternative

- Hypothesis Tests of Proportion in Excel
- Hypothesis Tests of Proportion Overview (Hypothesis Testing On Binomial Data)
- 1-Sample Hypothesis Test of Proportion in Excel 2010 and Excel 2013
- 2-Sample Pooled Hypothesis Test of Proportion in Excel 2010 and Excel 2013
- How To Build a Much More Useful Split-Tester in Excel Than Google's Website Optimizer

- Chi-Square Independence Tests in Excel
- Chi-Square Goodness-Of-Fit Tests in Excel
- F Tests in Excel
- Correlation in Excel
- Pearson Correlation in Excel
- Spearman Correlation in Excel
- Confidence Intervals in Excel
- Overview of z-Based Confidence Intervals of a Population Mean in Excel 2010 and Excel 2013
- t-Based Confidence Intervals of a Population Mean in Excel 2010 and Excel 2013
- Minimum Sample Size to Limit the Size of a Confidence interval of a Population Mean
- Confidence Interval of Population Proportion in Excel 2010 and Excel 2013
- Min Sample Size of Confidence Interval of Proportion in Excel 2010 and Excel 2013

- Simple Linear Regression in Excel
- Overview of Simple Linear Regression in Excel 2010 and Excel 2013
- Simple Linear Regression Example in Excel 2010 and Excel 2013
- Residual Evaluation For Simple Regression in Excel 2010 and Excel 2013
- Residual Normality Tests in Excel – Kolmogorov-Smirnov Test, Anderson-Darling Test, and Shapiro-Wilk Test For Simple Linear Regression
- Evaluation of Simple Regression Output For Excel 2010 and Excel 2013
- All Calculations Performed By the Simple Regression Data Analysis Tool in Excel 2010 and Excel 2013
- Prediction Interval of Simple Regression in Excel 2010 and Excel 2013

- Multiple Linear Regression in Excel
- Basics of Multiple Regression in Excel 2010 and Excel 2013
- Multiple Linear Regression Example in Excel 2010 and Excel 2013
- Multiple Linear Regression’s Required Residual Assumptions
- Normality Testing of Residuals in Excel 2010 and Excel 2013
- Evaluating the Excel Output of Multiple Regression
- Estimating the Prediction Interval of Multiple Regression in Excel
- Regression - How To Do Conjoint Analysis Using Dummy Variable Regression in Excel

- Logistic Regression in Excel
- Logistic Regression Overview
- Logistic Regression Performed in Excel 2010 and Excel 2013
- R Square For Logistic Regression Overview
- Excel R Square Tests: Nagelkerke, Cox and Snell, and Log-Linear Ratio in Excel 2010 and Excel 2013
- Likelihood Ratio Is Better Than Wald Statistic To Determine if the Variable Coefficients Are Significant For Excel 2010 and Excel 2013
- Excel Classification Table: Logistic Regression’s Percentage Correct of Predicted Results in Excel 2010 and Excel 2013
- Hosmer-Lemeshow Test in Excel – Logistic Regression Goodness-of-Fit Test in Excel 2010 and Excel 2013

- Single-Factor ANOVA in Excel
- Overview of Single-Factor ANOVA
- Single-Factor ANOVA Example in Excel 2010 and Excel 2013
- Shapiro-Wilk Normality Test in Excel For Each Single-Factor ANOVA Sample Group
- Kruskal-Wallis Test Alternative For Single Factor ANOVA in Excel 2010 and Excel 2013
- Levene’s and Brown-Forsythe Tests in Excel For Single-Factor ANOVA Sample Group Variance Comparison
- Single-Factor ANOVA - All Excel Calculations
- Overview of Post-Hoc Testing For Single-Factor ANOVA
- Tukey-Kramer Post-Hoc Test in Excel For Single-Factor ANOVA
- Games-Howell Post-Hoc Test in Excel For Single-Factor ANOVA
- Overview of Effect Size For Single-Factor ANOVA
- ANOVA Effect Size Calculation Eta Squared (?2) in Excel 2010 and Excel 2013
- ANOVA Effect Size Calculation Psi (?) – RMSSE – in Excel 2010 and Excel 2013
- ANOVA Effect Size Calculation Omega Squared (?2) in Excel 2010 and Excel 2013
- Power of Single-Factor ANOVA Test Using Free Utility G*Power
- Welch’s ANOVA Test in Excel Substitute For Single-Factor ANOVA When Sample Variances Are Not Similar
- Brown-Forsythe F-Test in Excel Substitute For Single-Factor ANOVA When Sample Variances Are Not Similar

- Two-Factor ANOVA With Replication in Excel
- Two-Factor ANOVA With Replication in Excel 2010 and Excel 2013
- Variance Tests: Levene’s and Brown-Forsythe For 2-Factor ANOVA in Excel 2010 and Excel 2013
- Shapiro-Wilk Normality Test in Excel For 2-Factor ANOVA With Replication
- 2-Factor ANOVA With Replication Effect Size in Excel 2010 and Excel 2013
- Excel Post Hoc Tukey’s HSD Test For 2-Factor ANOVA With Replication
- 2-Factor ANOVA With Replication – Test Power With G-Power Utility
- Scheirer-Ray-Hare Test Alternative For 2-Factor ANOVA With Replication

- Two-Factor ANOVA Without Replication in Excel
- Creating Interactive Graphs of Statistical Distributions in Excel
- Interactive Statistical Distribution Graph in Excel 2010 and Excel 2013
- Interactive Graph of the Normal Distribution in Excel 2010 and Excel 2013
- Interactive Graph of the Chi-Square Distribution in Excel 2010 and Excel 2013
- Interactive Graph of the t-Distribution in Excel 2010 and Excel 2013
- Interactive Graph of the Binomial Distribution in Excel 2010 and Excel 2013
- Interactive Graph of the Exponential Distribution in Excel 2010 and Excel 2013
- Interactive Graph of the Beta Distribution in Excel 2010 and Excel 2013
- Interactive Graph of the Gamma Distribution in Excel 2010 and Excel 2013
- Interactive Graph of the Poisson Distribution in Excel 2010 and Excel 2013

- Solving Problems With Other Distributions in Excel
- Solving Uniform Distribution Problems in Excel 2010 and Excel 2013
- Solving Multinomial Distribution Problems in Excel 2010 and Excel 2013
- Solving Exponential Distribution Problems in Excel 2010 and Excel 2013
- Solving Beta Distribution Problems in Excel 2010 and Excel 2013
- Solving Gamma Distribution Problems in Excel 2010 and Excel 2013
- Solving Poisson Distribution Problems in Excel 2010 and Excel 2013

- Optimization With Excel Solver
- Maximizing Lead Generation With Excel Solver
- Minimizing Cutting Stock Waste With Excel Solver
- Optimal Investment Selection With Excel Solver
- Minimizing the Total Cost of Shipping From Multiple Points To Multiple Points With Excel Solver
- Knapsack Loading Problem in Excel Solver – Optimizing the Loading of a Limited Compartment
- Optimizing a Bond Portfolio With Excel Solver
- Travelling Salesman Problem in Excel Solver – Finding the Shortest Path To Reach All Customers

- Chi-Square Population Variance Test in Excel
- Analyzing Data With Pivot Tables
- SEO Functions in Excel
- Time Series Analysis in Excel

## No comments:

## Post a Comment