In: Statistics and Probability
To obtain information on the corrosion-resistance properties of
a certain type of steel conduit, 45 specimens are buried in soil
for a 2-year period. The maximum penetration (in mils) for each
specimen is then measured, yielding a sample average penetration of
x = 52.5 and a sample standard deviation of s =
4.7. The conduits were manufactured with the specification that
true average penetration be at most 50 mils. They will be used
unless it can be demonstrated conclusively that the specification
has not been met. What would you conclude? (Use α =
0.05.)
State the appropriate null and alternative hypotheses.
H0: μ ≠ 50
Ha: μ > 50
H0: μ = 50
Ha: μ ≠ 50
H0: μ > 50
Ha: μ = 50
H0: μ = 50
Ha: μ > 50
Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)
z | = | |
P-value | = |
State the conclusion in the problem context.
Reject the null hypothesis. There is not sufficient evidence to conclude that the true average penetration is more than 50 mils.
Do not reject the null hypothesis. There is not sufficient evidence to conclude that the true average penetration is more than 50 mils.
Do not reject the null hypothesis. There is sufficient evidence to conclude that the true average penetration is more than 50 mils.
Reject the null hypothesis. There is sufficient evidence to conclude that the true average penetration is more than 50 mils.
H0: = 50
Ha: > 50
The test statistic z = ()/(s/)
= (52.5 - 50)/(4.7/)
= 3.57
P-value = P(Z > 3.57)
= 1 - P(Z < 3.57)
= 1 - 0.9998 = 0.0002
Since the P-value is less than the significance level(0.0002 < 0.05), so we should reject the null hypothesis.
Reject the null hypothesis. There is sufficient evidence to conclude that the true average penetration is more than 50 mils.