Inputting the Data into SPSS for a Independent Samples T-Tests

Let’s consider an example problem

Problem:

Problem: You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

Problem: You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

Here is the data set:

Problem: You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

Here is the data set:

Open SPSS Data File

At the bottom of the file select Variable View

At the bottom of the file select Variable View

Name the variable

Name the variable

To name the variable here, we must look at the two levels (male and female) and come up with a name for the independent variable:

Name the variable

To name the variable here, we must look at the two levels (male and female) and come up with a name for the independent variable:

Name the variable

To name the variable here, we must look at the two levels (male and female) and come up with a name for the independent variable: Gender

Now, back to the problem and the variable view

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

Now select the appropriate type of data which in this case is nominal (female/male)

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

Now select the appropriate type of data which in this case is nominal (female/male)

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis:

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Click on Values

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Do the same with Females

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Do the same with Females

Then, we need to use numeric values as descriptors of the nominal variable to distinguish them in the analysis: 1 = Male2 = Female

Now for the dependent variable:

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

You have been asked to determine if there is a difference between males and females in terms of their ACT test scores.

Since ACT scores are

scaled select “Scale”

Now we are ready to input the data:

Go to Data View

Go to Data View

Go to Data View

We will enter a 1 for each male and a 2 for each female:

We will enter a 1 for each male and a 2 for each female:

Now we enter the ACT scores:

Now we enter the ACT scores:

Now you are ready to analyze the data and interpret the results!