In: Statistics and Probability
Referring to this data:
2.58 2.51 4.04 6.43 1.58 4.32 2.2 4.19
4.79 6.2 1.52 1.38 3.87 4.54 5.12 5.15
5.5 5.92 4.56 2.46 6.9 1.47 2.11 2.32
6.75 5.84 8.8 7.4 4.72 3.62 2.46 8.75
Suppose we can only pass the quality test if there is evidence to suggest that the true mean ignition time is more than 0.04 seconds (or 4 hundredths of a second). please show work.
a. What is the null hypothesis for this test?
b. What is the alternative?
c. Conduct this hypothesis test at α=0.05 using the normal distribution. State all parts, including the critical value, test statistic, and conclusion in context of the problem.
d. Conduct this hypothesis test at α=0.05 using the t-distribution. State all parts, including the critical value, test statistic, and conclusion in context of the problem. Does your conclusion change?
Ho : µ = 0.04
Ha : µ > 0.04
(Right tail test)
Level of Significance , α =
0.05
population std dev , σ =
2.1040
Sample Size , n = 32
Sample Mean, x̅ = 4.3750
' ' '
Standard Error , SE = σ/√n = 2.1040 / √
32 = 0.3719
Z-test statistic= (x̅ - µ )/SE = ( 4.375
- 0.04 ) / 0.3719
= 11.66
critical z value, z* =
1.6449 [Excel formula =NORMSINV(α/no. of tails)
]
Decision: test stat > critical value, Reject null
hypothesis
.....................
d)
sample std dev , s =
2.1040
Sample Size , n = 32
Sample Mean, x̅ = 4.3750
degree of freedom= DF=n-1= 31
Standard Error , SE = s/√n = 2.1040 / √
32 = 0.3719
t-test statistic= (x̅ - µ )/SE = ( 4.375
- 0.04 ) / 0.3719
= 11.66
critical t value, t* =
1.6955 [Excel formula =t.inv(α/no. of tails,df)
]
Decision: test stat > critical value, Reject null hypothesis
.............
no change in conclusion
.................
THANKS
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