Data Science Course > Analysis of Variance

Two way ANOVA Example in Data Science

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There are two independent variables in a two-way ANOVA. A two-way ANOVA, for example, lets a business to analyse worker productivity across two independent factors, such as department and gender. It's used to track the interaction between the two variables. It examines the impact of two variables at the same time.

The mean of a quantitative variable is estimated using a two-way ANOVA based on the levels of two categorical variables. When you want to know how two independent factors interact to effect a dependent variable, do a two-way ANOVA.

ANOVA is a sort of hypothesis testing that analyses the variance of the different survey groups to determine the experimental outcomes. It is typically used to determine the dataset's outcome.

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  1. Introduction to Data Measurement in Data Science
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  2. Types of Variables in Data Science
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  3. Levels of Data Measurement in Data Science
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  1. Charts and Graphs in Data Science
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  2. Frequency Distribution in Data Science
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  3. Bar Graphs and Pie Charts in Data Science
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  6. Histogram and Scatter Plot in Data Science
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  7. Cross Tabulation in Data Science
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  1. Measures of Central Tendency and Variability in Data Science
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  2. Mean and Percentiles in Data Science
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  3. Quartiles in Data Science
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  4. Measures of Variability in Data Science
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  2. Kurtosis in Data Science
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  3. Errors in Statistical Hypothesis in Data Science
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  4. Statistical Inference for Single Population in Data Science
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  5. Testing Example in Data Science
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  6. Statistical Inference with Two Population in Data Science
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  2. Data Types in R in Data Science
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  1. Analysis of Variance and Annova in Data Science
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  2. Assumption and Variation in One-Way ANOVA in Data Science
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  3. Two way ANOVA in Data Science
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  4. Summary of ANOVA in Data Science
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  6. One way ANOVA Example in Data Science
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  7. Two way ANOVA Example in Data Science
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  5. Example of K Means Clustering in Data Science
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  3. Slicers in Dashboard
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  5. Presenting Dashboard
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