In: Statistics and Probability
ANOVA BY HAND (DF BETWEEN AND WITHIN)
Does a woman’s chance of suffering from postpartum depression vary depending on the number of children she already has? To find out, a researcher collected random samples form four groups of women: the first group having just given birth to their first child, the second group having just given birth to their second child, and so on. He then rated their amount of postpartum depression on a scale from 1 to 5. Test the null hypothesis that the chances of developing postpartum depression do not differ with the number of children to which a woman has previously given birth. Test at .05 LOS. Please give an extensive interpretation. Please provide summary table.
First Second Third Fourth
Child Child Child Child
3 3 5 4
2 5 5 3
4 1 3 2
3 3 5 1
2 4 2 5
From the given data,the following statistics are calculated :
First Child | Secondchild | Third child | Fourth child | Total | |
N | 5 | 5 | 5 | 5 | 20 |
14 | 16 | 20 | 15 | 65 | |
Mean | 14/5=2.8 | 16/5=3.2 | 0/5=4 | 15/5=3 | 65/20=3.25 |
42 | 60 | 88 | 55 | 245 | |
Std. Dev. | 0.8367 | 1.4832 | 1.4142 | 1.5811 | 1.3328 |
ANOVA Table is formed from the above Table as follows:
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Sum of Squares | F |
Btween Treatments | 4.15 | 3 | 4.15/3=1.3833 | F=1.3833/1.85=0.74775 |
Within Treatments | 29.6 | 16 | 29.6/16=1.85 | |
Total | 33.75 | 19 |
The F - Ratio value = 1.3833/1.85 = 0.74775.
= 0.05
Degrees of Freedom for Numerator = 3
Degres ofFreedom for Denominator = 16
By Technology, the p-value = 0.5394.
Since p-value = 0.5394 is grater than = 0.05, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data support the claim that the chances of developing
postpartum depression do not differ with the number of children to
which a woman has previously given birth.