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Data Analysis with STATA

You're reading from   Data Analysis with STATA Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782173175
Length 176 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Stata and Data Analytics FREE CHAPTER 2. Stata Programming and Data Management 3. Data Visualization 4. Important Statistical Tests in Stata 5. Linear Regression in Stata 6. Logistic Regression in Stata 7. Survey Analysis in Stata 8. Time Series Analysis in Stata 9. Survival Analysis in Stata Index

T tests

Let's start with t tests. A sample t test gives you a leverage point to check whether the sample mean that can have a normally distributed variable has a significant difference from the hypothesis value. For example, you need to test whether the fridge sales average is significantly different from 10000. Here is the command to run the t test:

ttest fridge_sales = 10000

This command checks whether the mean or average of fridge_sales differs significantly from 10000. Here is the exact formula for a sample t test:

T tests

Here are the results of One-sample t test as per the command that's run in Stata:

T tests

This result shows that there is a statistically significant difference between the mean values of fridge_sales and 10000. Let's see whether you have more than one group to compare the means. In this case, you can use two independent sample t-tests.

Two independent sample t tests

Independent samples' t tests are utilized when we need to compare and check the averages of a variable...

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