5) The operations manager of White Industries is considering a new method of assembling its golf cart. The present method requires 42.3 minutes, on the average, to assemble a cart. a) State the Hypothesis to show the average assembly time using the new method is faster than the current method. b) Choose a level of a. Use a = 0.10 for this problem. c) To test the hypothesis, the operations manager has 24 golf carts assembled using the new method and records the assembly time in minutes. The data appear in the Assembly Time worksheet of the HW1 data workbook on Moodle. Calculate necessary statistics to test the hypothesis. d) Sketch the sampling distribution. Include the critical value and test statistic e) Draw a conclusion and report that in the problem context. f) Calculate the p-value for the hypothesis test
| Golf | Assembly |
| Cart | Time |
| 1 | 36.4 |
| 2 | 39.8 |
| 3 | 42.2 |
| 4 | 42.6 |
| 5 | 41.2 |
| 6 | 39.6 |
| 7 | 44.1 |
| 8 | 39.6 |
| 9 | 39.1 |
| 10 | 44.4 |
| 11 | 37.7 |
| 12 | 38.6 |
| 13 | 38.6 |
| 14 | 41.3 |
| 15 | 39.8 |
| 16 | 41.1 |
| 17 | 43.5 |
| 18 | 40.4 |
| 19 | 44 |
| 20 | 39.1 |
| 21 | 47 |
| 22 | 45 |
| 23 | 43.1 |
| 24 | 40.6 |

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(d) The t-test and the p-value in the t-distribution plot:

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5) The operations manager of White Industries is considering a new method of assembling its golf...
The management of White Industries is considering a new method of assembling its golf cart. The present method requires a mean time of 42.3 minutes to assemble a cart. The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes. Using the 0.10 level of significance, can we conclude that the assembly time using the new method is faster? What is the decision...
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