# Step by Step Independent Samples T-Test in SPSS 21

**Step by Step Independent Samples T-Test in SPSS 21**| The main use of Independent sample t test is to compare the average of two case groups. In order for the results of the study to be good, the subjects studied should be randomly selected for both groups being compared. This is done if there is a difference in the answer because of the treatment or lack of treatment, not because of other factors. To compare the average of two small samples, the requirements to be met are the samples having the same variant.

**Independent Samples T-Test Analysis Procedure**

For example, we will compare the average selling for both Samsung and Lenovo mobile phone brands. The main purpose of this research is we want to know whether there is a difference in average selling of both brands of mobile phones. This experiment was carried out in 10 stores to customers who had bought cell phones frequently in their stores. From both stores we want to know what brand mobile phones are more in demand by buying so as to affect the average selling of both brands of mobile phones. In this experiment customers are only faced with two brand choices, namely Samsung and Lenovo. Selling data for both brands of mobile phones are listed below.

[Download Full Data]

**Step by Step Independent Samples T-Test in SPSS 21**

To answer the above problems, the following steps are required.

1. Create a variable design in the position of Variable View

To distinguish the two brands of mobile phones that we will examine, we must provide a value in the Values section with the following conditions:

- Samsung mobile phones are coded 1
- Lenovo mobile phone are coded 2

- Click the Values set button until the Value Labels dialog box appears.
- Enter 1 in the Value column, and write Samsung in the Label column, Click Add.
- Enter 2 in the Value column, and write Lenovo in the Label column. Click Add.
- Click Ok.

2. Enter data from numbers 1 to 20 as below in Data View:

3. Perform analysis, the steps click Analyze - Compare Means - Independent-Samples T Test

4. Move Selling variable to the column Test of Variable(s) and Brand variable to Grouping Variable column

5. Click Define Groups to define the group, then the "Defines Groups" dialog box will appear. Fill 1 in the Group 1 and 2 columns in the Group 2 column. Click Continue

6. Make the settings for the box "Independent-Samples T Test: Options". Click Options will display the dialog box "Independent-Samples T Test: Options". In the Confidence Interval column, enter 95%. In the Missing Values section, select Example xase analysis by analysis. Click Continue

7. Click Ok. The results of the analysis as below:

The second output is modified through the Pivot Table process by clicking the second place in the second output, then select Pivot - Transpose Rows and Coumns. The table will be changed to as below.

**Interpretation of Independent Samples T-Test**

**A. Viewing Variant Equations between Groups Compared**

To test the similarity of variants, we use Levene's Test for Equality of Variances. If the variant is the same then the t test uses Equal variance assumed, whereas if the variant is different then used equal variances non assumed. Here are the following steps:

__Independent Samples T-Test Guidelines__

- If the probability or Sig. > 0,05, hence there is no difference of variance between respondent group of buyers of Samsung and Lenovo mobile phones.
- If the probability or Sig. <0.05, then it means there is a variant difference between the group of respondents buyers Samsung and Lenovo mobile phones.

__Decision Making in Independent Samples T-Test__

The F number that assumes both variants is 2.376 with Sig probability. of 0.141. Since the probability number Sig> 0,05 (0,141> 0,05), hence meaning there is no difference of variance between group of respondent buyer both brand of cell phone. Using this test use Equal variance assumed.

While the difference difference mean (Mean Difference) of 3,100 is not significant.

**B. See Average Descriptions of Descriptive Handphone Brand Selling**

From the above output is known the average selling of Samsung mobile phones of 94.40, while Lenovo at 91.30. Descriptively, the average selling of Samsung mobile phones is bigger than the average selling of Lenovo mobile phones.

Interesting Info: How to Mann Whitney U Test in SPSS

**, Interpreting Independent Samples T Test in SPSS, How Do You Run an Independent Samples T Test in SPSS, How to Interpret Independent T-Test Results SPSS]**

*Step by Step Independent Samples T-Test in SPSS 21*[Reference: Jonathan Sarwono. 2015. Rumus-rumus Populer dalam SPSS untuk RIset Skripsi. Yogyakarta: Andi]

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