A company produces industrial wiring. One batch of wiring is specified to be 2.17 centimeters (cm) thick. A company inspects the wiring in seven locations and determines that, on the average, the wiring is about 2.17 cm thick. However, the measurements vary. It is unacceptable for the variance of the wiring to be more than 0.05 cm2. The standard deviation of the seven measurements on this batch of wiring is 0.36 cm. Use α = 0.025 to determine whether the variance on the sample wiring is too great to meet specifications. Assume wiring thickness is normally distributed.
NULL HYPOTHESIS H0:
cm^2
ALTERNATIVE HYPOTHESIS Ha:
cm^2
alpha= 0.025
chi square test statistic= (n-1)*s^2/
= (7-1)*(0.36)^2/0.05
= 6*0.1296/0.05
= 15.552
Degrees of freedom= 7-1=6
The P-Value is .016372
Since Pvalue is smaller than the level of significance .
Decision: REJECT H0
Conclusion:We have sufficient evidence to conclude that the variance on the sample wiring is too great to meet specifications.
A company produces industrial wiring. One batch of wiring is specified to be 2.17 centimeters (cm)...