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What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Smarten

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.

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What is Multiple Linear Regression and How Can it be Helpful for Business Analysis?

Smarten

To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). How Can Multiple Linear Regression Be Helpful for Business Analysis? Use Case – 1.

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What is Spearman’s Rank Correlation and How is it Useful for Business Analysis?

Smarten

How is Spearman’s Rank Correlation Useful for Business Analysis? Business Problem: An educational organization wants to assess students’ rating, based on two different sources of observation. The closer this value is to 0, the weaker the relationship/association is between both variables. Use Case – 1.

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What is the Chi Square Test of Association and How Can it be Used for Analysis?

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This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. Use Case – 1.

Testing 40
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The Advantages of Augmented Analytics!

Smarten

Assisted predictive modeling suggests techniques to analyze data that will result in the right outcome for the goals of the analysis. Self-serve data preparation walks the user through the data preparation process so that they can easily prepare data for analysis without the assistance of IT or a data scientist.

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What is Outlier Analysis and How Can It Improve Analysis?

Smarten

How Can Outlier Detection Improve Business Analysis? When a business uses Outlier analysis, it is important to test the results and analyze the overall dataset and environment to be sure that the presence of outliers does not indicate that the dataset may be more complex than anticipated and may require a different form of analysis.

IT 40
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What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Smarten

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.