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Jun 4, 2022
Multiple Linear Regression
Simple linear regression is used to predict the unknown Y scores based on the X scores. In multiple linear regression, we use two or more in
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Apr 22, 2022
Paired Sample t-test
A paired sample t-test is used to determine if there is a significant difference between the means of two groups but these two groups...
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Apr 19, 2022
The Chi-Square Test & Phi Coefficient
A chi-square test is a statistical procedure used to compare observed results with expected results. The main purpose of this procedure...
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Apr 16, 2022
Two-way Analysis of Variance (ANOVA)
The two-way ANOVA is used when we want to know how two independent variables (factors), in combination, affect a dependent variable...
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Apr 10, 2022
Linear Correlation & Regression
Linear regression and correlation are closely related subjects in which both are commonly used methods for examining the relationship...
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Apr 5, 2022
One-way Analysis of Variance (ANOVA)
Analysis of Variance (ANOVA) is used to determine if there is a significant difference between the means of more than two groups...

Mar 30, 2022
The t-test - Comparison of Two Sample Means
The student’s t-test is a type of inferential statistics used to determine if there is a significant difference between two groups...
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Mar 22, 2022
The Normal Distribution & z-score
The normal distribution curve is a bell-shaped curve centered at the mean. Its mean equals 0; and the standard deviation equals 1...
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Mar 22, 2022
The Five-number Summary; Boxplot & Outliers
The five-number summary are points that represents five numbers derived from the data...
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Mar 22, 2022
Descriptive Statistics - Essentials & Interpretation
The first key step toward understanding a set of data is to explore the data and describe it in summary form. The main three aspects of...
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Mar 22, 2022
Statistics - Basics and Terminology
Statistics is the science of creating, developing, and applying techniques by which uncertainty of inductive inferences may be evaluated...
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