In: Statistics and Probability
The following data were collected in an experiment designed to investigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are assigned to one position and have the fetal heart rate measured in that position. Each woman is between 28-32 weeks gestation. The data are shown below.
Back |
Side |
Sitting |
Standing |
140 |
141 |
144 |
147 |
144 |
143 |
145 |
145 |
146 |
145 |
147 |
148 |
141 |
144 |
148 |
149 |
139 |
136 |
144 |
145 |
Mean = 142.0 |
Mean = 141.8 |
Mean = 145.6 |
Mean =146.8 |
Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance.
Hypothesis:
In Word:
H0 : There is no significant difference in mean of fatal heart rates of Postion.
H1 : There is a significant difference in mean of fatal heart rates of Postion.
Using SPSS:
First Make Variable in Variable View:
Click On Values Column in Position row then Enter the lables by value:
Now Enter the data in Data View:
Use One Way Anova: Because there more than two category in Position Variable.
Steps in SPSS:
Analyze-->Compare Means--One Way Anova:
Then select the Fata Heart Rates variable in Dependent List and Position in Factor:
Then Click OK.
Output:
Here We can see the P-value is 0.016 that is less than 0.05, it means there is a significant difference in mean of fatal heart rates of Position.