I am interested in differences in Days due to Training Status. Specifically, Iwant to know if employees that have been trained have higher mean Days than employees that have not been trained.

How can create a set of hypotheses and how can I interpret the results?

These tables are my references:

Name Type Width Decimals Label Values Missing Columns Align Measure Role Survey0 Numeric 8 2 None None Right 8 Nominal Input first_survey Numeric CO 2 First survey None None 8 Right Nominal Input second sur... Numeric 8 2 Second survey None None 8 Right Nominal Input Training_days Numeric CO 12 Training_in days None None 8 Right Scale Input Training_sta... Numeric 8 2 Training status {.00, untrainted).. None 8 Right Nominal Input Value Labels X Value Labels Value: Spelling... Label: 00 = "untrainted" Add 1.00 = "trained" Change Remove OK Cancel HelpTable 3. test results Variable name Sig. n Mean SD t-value df (2-tailed) Training status - Training in days 200 -22.04500 5.84756 -53.315 199 000