In: Statistics and Probability
(15 pts) The minimal Brinell hardness for a specific grade of ductile iron is 130. An engineer has a sample of 25 pieces of this type of iron that was subcritically annealed with the Brinell hardness values as given below. The engineer would like to know whether this annealing process results in the proper Brinell hardness on average.
135 149 132 142 124 130 122 128 120 128 127 123 136 141 130 139 134 135 130 141 149 137 137 140 148
State the appropriate hypotheses; conduct a hypothesis test using α = 0.05 utilizing the classical approach, confidence interval approach, or p-value approach; state the decision regarding the hypotheses; and make a conclusion.
The table given below ,
X | ||
135 | 0.5184 | |
149 | 216.6784 | |
132 | 5.1984 | |
142 | 59.5984 | |
124 | 105.6784 | |
130 | 18.3184 | |
122 | 150.7984 | |
128 | 39.4384 | |
120 | 203.9184 | |
128 | 39.4384 | |
127 | 52.9984 | |
123 | 127.2384 | |
136 | 2.9584 | |
141 | 45.1584 | |
130 | 18.3184 | |
139 | 22.2784 | |
134 | 0.0784 | |
135 | 0.5184 | |
130 | 18.3184 | |
141 | 45.1584 | |
149 | 216.6784 | |
137 | 7.3984 | |
137 | 7.3984 | |
140 | 32.7184 | |
148 | 188.2384 | |
Sum | 3357 | 1625.04 |
From table ,
The sample mean is ,
The sample standard deviation is ,
Hypothesis: VS
The critical value is ,
; From excel "=TINV(0.05,24)"
The test statistic is ,
The p-value is ,
p-value= ; From excel "=TDIST(2.6007,24,2)"
The 95% confidence interval is ,
Decision : 1) From critical value : Here , the value of the test statistic is lies in the rejection region.
Therefore , reject the null hypothesis.
2) From p-value : Here , p-value = 0.0157 <
Therefore , reject the null hypothesis.
3) From confidence interval : Here , the value of the does not lies in the 95% confidence interval.
Therefore , reject the null hypothesis.
Conclusion : Hence , There is not sufficient evidence to support the engineers claim that the annealing process results in the proper Brinell hardness on average.