MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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A random sample of 869 births included 430 boys. Use a 0.10 significance level to test the claim that 50.6​% of newborn babies are boys. Do the results support the belief that 50.6​% of newborn babies are​ boys?
Identify the null and alternative hypotheses for this test. Choose the correct answer below.
A.
H0​:
p≠0.506
H1​:
p=0.506
 
B.
H0​:
p=0.506
H1​:
p≠0.506
 
C.
H0​:
p=0.506
H1​:
p<0.506
 
D.
H0​:
p=0.506
H1​:
p>0.506
Identify the test statistic for this hypothesis test.
 
The test statistic for this hypothesis test is
nothing.
​(Round to two decimal places as​ needed.)
Identify the​ P-value for this hypothesis test.
 
The​ P-value for this hypothesis test is
 
Identify the conclusion for this hypothesis test.
 
 
A.
Fail to reject
H0.
There
is
sufficient evidence to warrant rejection of the claim that
50.6​%
of newborn babies are boys.
 
B.
Fail to reject
H0.
There
is not
sufficient evidence to warrant rejection of the claim that
50.6​%
of newborn babies are boys.
 
C.
Reject
H0.
There
is not
sufficient evidence to warrant rejection of the claim that
50.6​%
of newborn babies are boys.
 
D.
Reject
H0.
There
is
sufficient evidence to warrant rejection of the claim that
50.6​%
of newborn babies are boys.
Do the results support the belief that
50.6​%
of newborn babies are​ boys?
 
 
A.
The results support the belief that
50.6​%
of newborn babies are boys because there was sufficient evidence to show that the belief is true.
 
B.
The results do not support the belief that
50.6​%
of newborn babies are​ boys; the results merely show that there is not strong evidence against the rate of
50.6​%.
 
C.
The results do not support the belief that
50.6​%
of newborn babies are boys because there was sufficient evidence to show that the belief is untrue.
 
D.
The results support the belief that
50.6​%
of newborn babies are boys because there was no evidence to show that the belief is untrue.
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