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How to run Student's t-test on SPSS

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How to run Student's t-test on SPSS

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How to run Student's t-test on SPSS

  1. 1. Running Student’s T-Test on SPSS http://www.palmx.org/drtamil/spss/ sga-ttest-youtube.sav
  2. 2. ©drtamil@gmail.com 2016 Factors Affecting SGA SGA (Birth weight) Mother’s Nutrition (BMI/Obesity) •Weight •Height Smoking Hypertension
  3. 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. 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. 5. ©drtamil@gmail.com 2016 Factors Affecting SGA SGA (Y/N) (Birth weight) Mother’s Nutrition (BMI) Smoking (Y/N) Hypertension (Y/N)
  6. 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. 7. ©drtamil@gmail.com 2016 Comparing BMI distribution
  8. 8. ©drtamil@gmail.com 2016 Comparing mean BMI SGA 22.4 + 3.9 Normal 25.4 + 4.4
  9. 9. ©drtamil@gmail.com 2016 Which t & p-value to use?
  10. 10. ©drtamil@gmail.com 2016 t > than 1.96, p < than 0.05
  11. 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. 12. ©drtamil@gmail.com 2016 Exercise  Repeat the same statistical test between; ◦ Weight and Outcome ◦ Height and Outcome

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