Information about How to run Student's t-test on SPSS

Published on June 14, 2016

Author: drtamil

Source: slideshare.net

2. ©drtamil@gmail.com 2016 Factors Affecting SGA SGA (Birth weight) Mother’s Nutrition (BMI/Obesity) •Weight •Height Smoking Hypertension

3. ©drtamil@gmail.com 2016 Dependent Outcome Birth weight of the babies Small for gestational age i.e. less than 2.7kg for term babies – Y/N By Yehudamalul - Own work, CC BY-SA 3.0,

4. ©drtamil@gmail.com 2016 What test to use? Conduct the appropriate statistical test to test whether there is any association between BMI and OUTCOME (SGA/Normal).

5. ©drtamil@gmail.com 2016 Factors Affecting SGA SGA (Y/N) (Birth weight) Mother’s Nutrition (BMI) Smoking (Y/N) Hypertension (Y/N)

6. ©drtamil@gmail.com 2016 Suitable statistical test? Body Mass Index – interval/continuous data. Outcome is categorized into Yes (SGA babies) and No (Normal babies) Therefore it is categorical data. Basically we are comparing the mean mothers’ BMI between SGA and normal babies. Assuming BMI is normally distributed, most suitable test is Student’s t-test.

7. ©drtamil@gmail.com 2016 Comparing BMI distribution

8. ©drtamil@gmail.com 2016 Comparing mean BMI SGA 22.4 + 3.9 Normal 25.4 + 4.4

9. ©drtamil@gmail.com 2016 Which t & p-value to use?

10. ©drtamil@gmail.com 2016 t > than 1.96, p < than 0.05

11. ©drtamil@gmail.com 2016 Conclusion Mothers of SGA babies has clearly smaller BMI (22.4 + 3.9) compared to mothers of normal babies (25.4 + 4.4). The difference is statistically significant since p value smaller than 0.05. Therefore mothers with lower BMI has a significantly higher risk of getting SGA babies compared to mothers with higher BMI. “Big Mothers Get Big Babies!”

12. ©drtamil@gmail.com 2016 Exercise Repeat the same statistical test between; ◦ Weight and Outcome ◦ Height and Outcome

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