Tag: Excel tutorial
How to Sort Values from Highest to Lowest in Excel
When conducting tabulation and data analysis, we sometimes need to sort values for a specific purpose. It turns out that sorting values from the highest to the lowest, or vice versa, can easily be done using Excel. We are, of course, already familiar with Excel as a tool that we use in our daily office work, one of which is its advantage in data processing.
How to Perform Descriptive Statistics in Excel in Under 1 Minute
Descriptive statistical analysis is essential to carry out for your research data. From the output of descriptive statistics, you can obtain information such as the minimum, maximum, mean, standard deviation, standard error, and more. These values are important to interpret for each variable observed in your research.
How to Tabulate Data Using Pivot Table for Your Research Results
For those of you currently conducting research, the stages of data entry and data tabulation are important parts of the process. Excel, which we already use daily for data processing, can also help us perform data tabulation quickly.
How to Calculate Population Data Standard Deviation Using Excel
Standard deviation can be used to understand how data is distributed relative to its mean. Calculating the standard deviation in research is crucial because it determines the variability of the data.
How to Perform Multiple Linear Regression Analysis in Excel: Data Analysis Tools
Multiple linear regression analysis is a method used when a researcher aims to estimate the effect of independent variables on a dependent variable. In multiple linear regression, the number of independent variables must be at least two.
How to Find the Standard Deviation of Sample Data in Excel
One of the metrics in statistics is the standard deviation. When conducting research, the standard deviation is crucial for describing the data you have obtained. It illustrates the dispersion of the data relative to the mean.
Simple Linear Regression Analysis Easily Using Excel
Simple linear regression analysis is a useful statistical technique for measuring and understanding the relationship between two variables. In this analysis, one variable (independent variable) is used to predict or explain the other variable (dependent variable).
Tutorial on How to Calculate Residual Values in Excel
Regression analysis is already widely used by researchers to explore the influence of independent variables on dependent variables. If we use regression analysis, we must have a good understanding of residual values. These residual values are needed in regression analysis. In addition, in the assumption tests required in linear regression analysis using the ordinary least square method, some also use residual values.