1 / 12

Using SPSS to Compare Means

Using SPSS to Compare Means . UDP 520 Lab 4 Lin Lin November 6 th , 2007. Outline. Dataset Independent samples Paired samples . Dataset—Weight Lost Training Program (WLTP) .

finley
Download Presentation

Using SPSS to Compare Means

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Using SPSS to Compare Means UDP 520 Lab 4 Lin Lin November 6th, 2007

  2. Outline • Dataset • Independent samples • Paired samples

  3. Dataset—Weight Lost Training Program (WLTP) • 1000 adults aged 18+ (including both males and females) were recruited to study the effectiveness of Weight Lost Training Program. • Variables • Sex • BMI_1(before WLTP) • BMI_2(after WLTP) • Download dataset from http://courses.washington.edu/urbdp520/UDP520/WLTP_new.sav

  4. Questions • Question one: • Is BMI significantly different between males and females before WLTP? • Question two: • Overall (for both males and females), is WLTP effective?

  5. Question One • Step one: Making assumptions and meeting test requirements • Random sampling • Level of measurement is interval-ratio • Sampling distribution is normal • Step two: stating the null hypothesis • Step three: selecting the sampling distribution and establishing the critical region • Sampling distribution = Z distribution • Alpha=0.05, two-tailed • Z(critical)= 1.96

  6. Question One (cont.)Step four: computing the test statistic in SPSS

  7. Question One (cont.) • Step five: making a decision and interpreting the results of the test result or Z (obtained)

  8. Question Two • Step one: Making assumptions and meeting test requirements • Random sampling • Level of measurement is interval-ratio • Sampling distribution is normal • Step two: stating the null hypothesis • Step three: selecting the sampling distribution and establishing the critical region • Sampling distribution = Z distribution • Alpha=0.05, two-tailed • Z(critical)= 1.96

  9. Question Two (cont.)Step four: computing the test statistic in SPSS

  10. Question Two (cont.) • Step five: making a decision and interpreting the results of the test result or Z (obtained)

  11. Exercises • Is BMI significantly different between males and females after WLTP? • Is WLTP effective for males? • Hint (do selection in “Data”— “Select cases”— “if condition is satisfied”— “if”— “sex=0”) • Is WLTP effective for females?

  12. Selecting cases in SPSS

More Related