Tag: Kanda data
How to test homogeneity of variance in one-way ANOVA
The homogeneity test is one of the prerequisite assumptions in the one-way ANOVA test. Researchers can use one-way ANOVA to test comparative differences in the mean of more than two data groups.
How to Perform Multiple Linear Regression using Data Analysis in Excel
Researchers have widely used linear regression analysis to analyze a phenomenon. The regression analysis is intended to determine the effect of independent variables on the dependent variable. Researchers use linear regression analysis, and practitioners in the industry also often use linear regression analysis. The output of linear regression analysis can be used for consideration in making business decisions in a company.
How to Find P-Value and T-Distribution Table using Excel
Testing the research hypothesis is an important step that needs to be understood by researchers. Each research objective can be answered through statistical analysis according to the researcher’s chosen analytical method. Therefore, researchers must conduct statistical hypothesis testing properly and correctly.
How to Analyze Descriptive Statistics using Data Analysis Tool in Excel
Descriptive statistical analysis is very important in supporting the main data analysis. Researchers can elaborate more deeply on each observed variable through descriptive statistical analysis. In general, analysis statistics can be divided into descriptive statistical analysis and inferential statistical analysis.
How to Generate a Random Sample using Excel
The sampling technique of simple random sampling is a sampling method that provides equal opportunities for each member of the population to be selected as a sample. This sampling technique randomly selects the sample from the existing population. To be able to use the simple random sampling technique, researchers need to ensure that there are at least two assumptions that must be met.
Formula to Calculate Analysis of Variance (ANOVA) in Regression Analysis
In regression analysis, both simple linear regression and multiple linear regression, it is necessary to conduct an analysis of variance calculation to find the statistical F value. The table for the analysis of variance in the regression analysis is called the ANOVA table.
Paired Sample T-test: Definition, Analysis Stage, and Interpreting the Results
Researchers often use the t-test to analyze differences in two sample groups. The t-test that researchers often use consists of the paired sample t-test and the independent sample t-test.
How to Find Residual Value in Multiple Linear Regression using Excel
Residual values in linear regression analysis can be used to test for normality. In addition, the heteroscedasticity test also requires the variance value of the residual. Therefore, the residual value is important in the linear regression assumption test with the Ordinary Least Square (OLS) method.