Today i will show you about how to analisys compere means analisys using R Studio.
but before we start this analisys, i wanna explain about what is the compare means analisys.
Compare Means analysis is used for compares the mean between two or more groups of data samples. Fundamental assumptions in the comparison analysis is that the data variable to be compared should be following a normal distribution.
The first step to this comparison method is to collect data (sample) of each object per group of variables. Measurements are quantitative or minimum interval scale. Next recognize what is called a t test statistic and variance analysis (ANOVA). T test statistics and ANOVA are used as statistics test for comparison of two or more groups of data samples. The t test is used for compare the two samples to be compared, whereas ANOVA is used for the comparison test of more than two groups of data samples then used the analysis variance.
There are four point in Compare Means that is :
- One Sample T-Test : analytical technique to compare one independent variable. This technique is used to test whether a particular value differs significantly or not with the average of a sample.
- Independent Sample T-Test : This test is used to determine whether or not there is an average difference between the two unrelated sample groups
- Paired Sample T-Test : Different test of two paired samples. Paired samples are the same subjects but undergo different treatments
- Anova : Anova stands for Analysis of variance. It is a statistical test procedure similar to t test. But the advantage of Anova is that it can test the differences of more than two groups.
The above discussion on compare means briefly. if you want to learn more then click every point above.
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Have a nice day :)
Have a nice day :)
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