In: Statistics and Probability
Consider the following hypotheses:
H0: μ = 4,500
HA: μ ≠ 4,500
The population is normally distributed with a population standard
deviation of 700. Compute the value of the test statistic and the
resulting p-value for each of the following sample
results. For each sample, determine if you can "reject/do not
reject" the null hypothesis at the 10% significance level.
(You may find it useful to reference the appropriate
table: z table or t
table) (Negative values should be
indicated by a minus sign. Round intermediate calculations to at
least 4 decimal places. Round "test statistic" values to 2 decimal
places and "p-value" to 4 decimal
places.)
Test statistic | p-value | |||
a. | x−x− = 4,630; n = 135 | (Click to select) Do not reject H0 Reject H0 | ||
b. | x−x− = 4,630; n = 265 | (Click to select) Reject H0 Do not reject H0 | ||
c. | x−x− = 4,210; n = 50 | (Click to select) Reject H0 Do not reject H0 | ||
d. | x−x− = 4,290; n = 50 | (Click to select) Do not reject H0 Reject H0 | ||
Solution :
=
4500
= 700
a)
= 4630
n = 135
This is the two tailed test .
The null and alternative hypothesis is
H0 :
= 4500
Ha :
4500
Test statistic = z
= (
-
) /
/
n
= (4630-4500) / 700 /
135
= 2.16
p(Z > 2.16) = 1-P (Z <2.16 ) =0.0309
P-value = 0.0309
= 0.10
p=0.0309<0.10,
Reject the null hypothesis .
b)
= 4630
n = 265
This is the two tailed test .
The null and alternative hypothesis is
H0 :
= 4500
Ha :
4500
Test statistic = z
= (
-
) /
/
n
= (4630-4500) / 700 /
265
= 3.02
p(Z > 3.02) = 1-P (Z <3.02 ) =0.0025
P-value = 0.0025
= 0.10
p=0.0025<0.10
Reject the null hypothesis .
c)
= 4210
n = 50
This is the two tailed test .
The null and alternative hypothesis is
H0 :
= 4500
Ha :
4500
Test statistic = z
= (
-
) /
/
n
= (4210-4500) / 700 /
50
= -2.93
P (Z <-2.93 ) =0.0034
P-value = 0.0034
= 0.10
p=0.0034<0.10
Reject the null hypothesis .
d)
= 4290
n = 50
This is the two tailed test .
The null and alternative hypothesis is
H0 :
= 4500
Ha :
4500
Test statistic = z
= (
-
) /
/
n
= (4290-4500) / 700 /
50
= -2.12
P (Z <-2.12) =0.0339
P-value = 0.00339
= 0.10
p = 0.0339<0.10
Reject the null hypothesis .