Consider the following printout.

HYPOTHESIS: VARIANCE $X = x$
$X = g p a$

SAMPLE MEAN OF X $= 2.2602$
SAMPLE VARIANCE OF $X = .19000$
SAMPLE SIZE OF X $= 198$
HYPOTHESIZED VALUE $( x ) = 2.4$

VARIANCE $X - x = - .1398$
$z = - 4.51298$

State the proper conclusion when testing $H _ { 0 } : \mu = 2.4$ vs. $H _ { \mathrm { a } } : \mu

Question

Consider the following printout.

HYPOTHESIS: VARIANCE $X = x$
$X = g p a$

SAMPLE MEAN OF X $= 2.2602$
SAMPLE VARIANCE OF $X = .19000$
SAMPLE SIZE OF X $= 198$
HYPOTHESIZED VALUE $( x ) = 2.4$

VARIANCE $X - x = - .1398$
$z = - 4.51298$

State the proper conclusion when testing $H _ { 0 } : \mu = 2.4$ vs. $H _ { \mathrm { a } } : \mu < 2.4$ at $\alpha = .05$.
A) Reject $H _ { 0 }$.
B) Accept $\mathrm { H } _ { 0 }$.
C) Fail to reject $H _ { 0 }$.
D) We cannot determine from the information given.

Quizplus · Accepted Answer

The z-score is -4.51298, which is less than -1.96, the critical value for a one-tailed test at $\alpha = .05$. Therefore, we reject $H _ { 0 }$.

Consider the Following Printout X=xX = xX=x X=gpaX = g p aX=gpa

Consider the Following Printout $X = x$ $X = g p a$