What is the conclusion? What is your conclusion? -There is no evidence to suggest a difference. -There is a difference in newborns' APGAR score based on whether the mother smoked or not. -Newborns whose mothers didn't smoke have higher APGAR score than newborns whose mother did smoke. -Newborns whose mothers didn't smoke have lower APGAR score than newborns whose mother did smoke.
What is the conclusion? What is your conclusion? -There is no evidence to suggest a difference. -There is a difference in newborns' APGAR score based on whether the mother smoked or not. -Newborns whose mothers didn't smoke have higher APGAR score than newborns whose mother did smoke. -Newborns whose mothers didn't smoke have lower APGAR score than newborns whose mother did smoke.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
What is the conclusion?
What is your conclusion?
-There is no evidence to suggest a difference.
-There is a difference in newborns' APGAR score based on whether the mother smoked or not.
-Newborns whose mothers didn't smoke have higher APGAR score than newborns whose mother did smoke.
-Newborns whose mothers didn't smoke have lower APGAR score than newborns whose mother did smoke.

Transcribed Image Text:A researcher wants to see if there is a difference in APGAR scores of newborns
depending on whether the mother smoked during pregnancy or not. She collects
data and analyzes the results using SPSS.
T-Test
Group Statistics
Std.
Std. Error
Mother smokes
N
Mean
Deviation
Mean
APGAR
no
44
7.1818
1.9443
.2931
yes
16
5.3125
1.9568
.4892
Independent Samples Test
Levene's Test
for Equality of
Variances
t-test for Equality of Means
95% Confidence
Interval of the
Sig.
(2-tail
ed)
Std.
Mean
Error
Difference
F
Sig.
t
df
Diff.
Dif.
Lower
Upper
APGAR
Equal variances
.051
.822
3.288
58
.002
1.8693
.5686
.7312
3.0074
assumed
Equal variances
not assumed
3.278
26.5
.003
1.8693
.5703
.6982
3.0405
What is
your
conclusion?
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