This option also assumes that the data has met the assumption of homogeneity of variances, as discussed earlier. Notice that a tilde ( ~) is entered between the name of the dependent and independent variable.Īlso notice that a comma ( ,) is entered at the end of this R code. In other words, replace the words dv and iv with the names of your dependent and independent variables respectively, exactly as you spelt them in Step One in Excel earlier in this guide. Run a t-test using the dv (i.e., dependent variable) and iv (i.e., independent variable) included between the brackets. Which t-test is run will depend on what variables and options are entered between the brackets ( ). Note: The t.test () function can be used to run several t-tests, including the one-sample t-test, independent-samples t-test (as demonstrated in this guide), Welch t-test, and paired-samples t-test. Enter this R code exactly as shown without making any changes. Run a t-test based on the variables and information/options included between the brackets ( ). More specifically, this R code has the following meaning: t.test ( ) T.test (dv ~ iv, var.equal=TRUE, data = dataframe) The code to run an independent-samples t-test using R is as follows:
T test with mean and standard deviation excel how to#
In the three steps that follow we explain how to run an independent-samples t-test using R:
![t-test with mean and standard deviation excel t-test with mean and standard deviation excel](https://study.com/cimages/multimages/16/f5a394bf-ec3c-4877-a8d3-d98d4f66fb85_pic.png)
The independent-samples t-test is run using R code in RStudio, which you enter into the RStudio Console (i.e., under the tab), as shown below: R and RStudio Running an independent-samples t-test using R in RStudio Therefore, start by learning how to use the t.test () function to carry out an independent-samples t-test in the next section.
![t-test with mean and standard deviation excel t-test with mean and standard deviation excel](http://2.bp.blogspot.com/_pmCiYsKSYtY/TFiEaoidoGI/AAAAAAAAARo/4oXwL11QkgA/s320/Excel_Input_Data+-+Copy.jpg)
On this page we show you how to: (a) carry out an independent-samples t-test using the t.test () function (b) generate useful descriptive statistics including the group means, standard deviations, sample sizes, and the mean difference. On the previous page you learnt how to set up your data using Excel, R and RStudio, based on the example we use throughout this introductory guide. Independent-samples t-test using R, Excel and RStudio (page 3)