An experiment was performed to compare the fracture toughness of high-purity 18 Ni maraging steel with commercial-purity steel of the same type. For m = 30 specimens, the sample average toughness was x = 65.5 for the high-purity steel, whereas for n = 39 specimens of commercial steel y = 59.9. Because the high-purity steel is more expensive, its use for a certain application can be justified only if its fracture toughness exceeds that of commercial-purity steel by more than 5. Suppose that both toughness distributions are normal.
(a) Assuming that σ1 = 1.3 and
σ2 = 1.1, test the relevant hypotheses using
α = 0.001. (Use μ1 −
μ2, where μ1 is the average
toughness for high-purity steel and μ2 is the
average toughness for commercial steel.)
State the relevant hypotheses.
H0: μ1 −
μ2 = 5
Ha: μ1 −
μ2 ≤ 5H0:
μ1 − μ2 = 5
Ha: μ1 −
μ2 >
5 H0:
μ1 − μ2 = 5
Ha: μ1 −
μ2 < 5H0:
μ1 − μ2 = 5
Ha: μ1 −
μ2 ≠ 5
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.
Fail to reject H0. The data suggests that the fracture toughness of high-purity steel exceeds that of commercial-purity steel by more than 5.Reject H0. The data suggests that the fracture toughness of high-purity steel exceeds that of commercial-purity steel by more than 5. Reject H0. The data does not suggest that the fracture toughness of high-purity steel exceeds that of commercial-purity steel by more than 5.Fail to reject H0. The data does not suggest that the fracture toughness of high-purity steel exceeds that of commercial-purity steel by more than 5.
(b) Compute β for the test conducted in part (a) when
μ1 − μ2 = 6. (Round your
answer to four decimal places.)
a)
H0: μ1 −
μ2 = 5
Ha: μ1 −
μ2 > 5
b)
pop 1 | pop 2 | |||
sample mean x = | 65.50 | 59.90 | ||
std deviation σ= | 1.300 | 1.100 | ||
sample size n= | 30 | 39 | ||
std error σx1-x2=√(σ21/n1+σ22/n2) = | 0.296 | |||
test stat z =(x1-x2-Δo)/σx1-x2 = | 2.03 | |||
p value : = | 0.0212 | (from excel:1*normsdist(-2.03) |
Fail to reject H0. The data does not suggest that the fracture toughness of high-purity steel exceeds that of commercial-purity steel by more than 5.
b_)
standard error=(√(σ12/n1+σ12/n1))= | 0.2956 | |||
for 0.001 level and right tail critival Zα= | 3.090 | |||
rejecf Ho if x>= Δo +Zα*σx or x>= | 5.9133 | |||
P(Type II error) =P(Xbar<5.913| Δ=6)=P(Z<(5.9133-6)/0.296)=P(Z<-0.29)=0.3859 |
An experiment was performed to compare the fracture toughness of high-purity 18 Ni maraging steel with...
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Will give instant thumbs up, please show some work and equations if done in excel. An experiment was performed to compare the fracture toughness of high-purity 18 Ni maraging steel with commercial-purity steel of the same type. For m = 33 specimens, the sample average toughness was x = 64.1 for the high-purity steel, whereas for n = 38 specimens of commercial steel y = 58.6. Because the high-purity steel is more expensive, its use for a certain application can...