Author: Kanda Data
The Effectiveness of the New Learning Method using Paired Sample t-Test
The effectiveness of a new method can be tested using paired sample t-test. The paired sample t-test was chosen due to using the same sample before and after using the new method.
How to Sort the Highest to the Lowest Value in Excel
Research data need to be analyzed to obtain the required information. We can choose various data analysis techniques according to the purpose of data analysis.
Difference between Descriptive Statistics and Inferential Statistics for Research Activities
In research activities, researchers need to understand the use of descriptive statistics and inferential statistics. Researchers can use one of them or combine both descriptive and inferential statistics.
Understanding the Difference between Parametric and Non-Parametric Statistics
The selection of data analysis methods is an important step that researchers must prepare. The correct analytical method will obtain the proper conclusion.
How to Create and Analyze Variables using a Likert Scale
In statistics, research variables can be measured in parametric and non-parametric variables. Variables measured by interval scale and ratio scale are grouped in parametric variables.
How to Find Variance and Standard Deviation in Excel
Variance and standard deviation are components of statistical values that are most often found in descriptive analysis. When we perform statistical software analysis, we will find the value of variance and standard deviation if we enable descriptive statistics.
How does high variance affect hypothesis testing in linear regression?
Will a high variance value affect the statistical test on linear regression? Many questions related to this topic were Kanda Data obtained. On this occasion, Kanda Data will discuss the impact of the variance value on hypothesis testing on linear regression.
How to Test Linearity Assumption in Linear Regression using Scatter Plot
The linearity test is one of the assumption tests in linear regression using the ordinary least square (OLS) method. The objective of the linearity test is to determine whether the distribution of the data of the dependent variable and the independent variable forms a linear line pattern or not?