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alphaequals=0.01 Upper H 0 : mu 1 minus mu 2 greater than or equals 0H0: 120 Upp

ID: 3358940 • Letter: A

Question

alphaequals=0.01

Upper H 0 : mu 1 minus mu 2 greater than or equals 0H0: 120

Upper H 1 : mu 1 minus mu 2 less than 0H1: 12<0

a) Calculate the appropriate test statistic and interpret the result.

b) Calculate the p-value and interpret the result.

x overbarx1

equals=

126

x overbarx2

equals=

139

sigma1

equals=

39

sigma2

equals=

32

n1

equals=

35

n2

equals=

40

Click here to view page 1 of the standard normal table.

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Click here to view page 2 of the standard normal table.

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a) The test statistic is

nothing.

(Round to two decimal places as needed.)

Determine the appropriate critical value(s).

The critical value(s) is(are)

nothing.

(Round to

twotwo

decimal places as needed. Use a comma to separate answers as needed.)Since the test statistic

falls

does not fall

in the rejection region,

do not reject

reject

Upper H 0H0.

There is

sufficient

insufficient

evidence to conclude that the mean of population 1 is less than the mean of population 2.b) The p-value is

nothing.

(Round to three decimal places as needed.)

Since the p-value is

less than

greater than

equal to

alpha,

reject

do not reject

Upper H 0H0.

There is

sufficient

insufficient

evidence to conclude that the mean of population 1 is less than the mean of population 2.

Consider the hypothesis statement shown below using

alphaequals=0.01

and the data to the right from two independent samples.

Upper H 0 : mu 1 minus mu 2 greater than or equals 0H0: 120

Upper H 1 : mu 1 minus mu 2 less than 0H1: 12<0

a) Calculate the appropriate test statistic and interpret the result.

b) Calculate the p-value and interpret the result.

x overbarx1

equals=

126

x overbarx2

equals=

139

sigma1

equals=

39

sigma2

equals=

32

n1

equals=

35

n2

equals=

40

Explanation / Answer

The statistical software output for this problem is:

Two sample Z summary hypothesis test:
1 : Mean of population 1 (Std. dev. = 39)
2 : Mean of population 2 (Std. dev. = 32)
1 - 2 : Difference between two means
H0 : 1 - 2 = 0
HA : 1 - 2 < 0

Hypothesis test results:

Hence,

a) Test statistic = -1.56

Critical value = -2.33

Since the test statistic does not fall in rejection region, do not reject Ho.

There is insufficient evidence to conclude that the mean of population 1 is less than the mean of population 2.

b) p - value = 0.059

Since the p - value is greater than alpha, do not reject Ho.

There is insufficient evidence to conclude that the mean of population 1 is less than the mean of population 2.

Difference n1 n2 Sample mean Std. err. Z-stat P-value 1 - 2 35 40 -13 8.3100627 -1.5643685 0.0589
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