I am not sure what this question is asking I would appreciat

I am not sure what this question is asking. I would appreciate some guidance.......There are three main assumptions needing to be satisfied before using the independent-samples t-test for testing differences between the genders. Use SPSS to generate the output needed to test the assumptions. Please discuss each one and explain whether each has been met using SPSS output as needed to include histograms, plots, and Levene’s test. Keep in mind if the population value is unknown, it is permissible to infer from sample values. Regardless of sample size, test whether these assumptions are met.

Solution

We have to assume samples and try to do the t test. the assumpotions are

!) parent population is normal.

2) variances are eqaul for the samples

3) samples are independent.

I will take two samples and use SPSS for the analysis.

T-TEST GROUPS=VAR00002(1 2)
/MISSING=ANALYSIS
/VARIABLES=VAR00001
/CRITERIA=CI(.95).
T-Test
Notes      
Output Created       08-FEB-2016 20:13:19
Comments      
Input   Active Dataset   DataSet0
   Filter   <none>
   Weight   <none>
   Split File   <none>
   N of Rows in Working Data File   10
Missing Value Handling   Definition of Missing   User defined missing values are treated as missing.
   Cases Used   Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.
Syntax       T-TEST GROUPS=VAR00002(1 2)
/MISSING=ANALYSIS
/VARIABLES=VAR00001
/CRITERIA=CI(.95).
Resources   Processor Time   00:00:00.03
   Elapsed Time   00:00:00.03

[DataSet0]
Group Statistics                  
   VAR00002   N   Mean   Std. Deviation   Std. Error Mean
VAR00001   1.00   5   6.2000   2.38747   1.06771
   2.00   5   5.6000   2.30217   1.02956

Independent Samples Test                                      
       Levene\'s Test for Equality of Variances       t-test for Equality of Means                      
       F   Sig.   t   df   Sig. (2-tailed)   Mean Difference   Std. Error Difference   95% Confidence Interval of the Difference  
                                   Lower   Upper
VAR00001   Equal variances assumed   .040   .847   .405   8   .696   .60000   1.48324   -2.82036   4.02036
   Equal variances not assumed           .405   7.989   .696   .60000   1.48324   -2.82114   4.02114

Since I do not have the population, there is no histogram. If you can provide me with the data, I can do that.

The Levene\'s test is done for equality of varainces. Here since p value is 0.847, the variences are equal. The sample size is small.