Q (3): The breaking strength was measured for each of I = 4 different types of industrial ropes under identical conditions, with J = 6 samples of each rope type tested. The sums of squares were computed as follows: SSE = 1025.4 and SSTr = 684.6 (a) State the null and alternative hypotheses (use words to define the parameters involved). (b) Use the F-test of ANOVA at the $\alpha = 0.01$ level to determine whether there are significant differences in true average breaking strengths among the four rope types.
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Let $\mu_i$ be the true average breaking strength for rope type $i$. The null hypothesis ($H_0$) states that there is no difference in the true average breaking strengths among the four rope types. The alternative hypothesis ($H_a$) states that at least one of the Show more…
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Macarthurs, a manufacturer of ropes used in abseiling, wished to determine whether changing the fibre used in the production of the ropes had affected their average breaking strength. It was known that ropes manufactured using the old fibre had an average breaking strength of 232.4 kilograms and a standard deviation of 18.9 kilograms. They planned to test the breaking strength of the new ropes using a random sample of forty ropes and also indicated they were prepared to accept a Type I error probability of 0.05. 1. State the direction of the alternative hypothesis for the test. Type gt (greater than), ge (greater than or equal to), lt (less than), le (less than or equal to) or ne (not equal to) as appropriate in the box. 2. State, in absolute terms, the critical value 3. Determine the lower boundary of the region of non-rejection in terms of the sample mean used in testing the claim (to two decimal places). If there is no (theoretical) lower boundary, type lt in the box. 4. Determine the upper boundary of the region of non-rejection in terms of the sample mean used in testing the claim (to two decimal places). If there is no (theoretical) upper boundary, type gt in the box. 5. If the average breaking strength found from the sample is 242.7 kilograms, is the null hypothesis rejected for this test? Type yes or no. 6. Disregarding your answer for 5, if the null hypothesis was rejected when the rope being tested included a new synthetic fibre, could it be concluded that adding the new synthetic fibre had affected the breaking strength of the rope at the 5% level of significance? Type yes or no.
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A special type of rope is being considered for use in the production of parachutes. The rope will be considered safe and can be used as long as the mean breaking strength (μ) is at least 3000 kg. Otherwise, it should be rejected. A random sample of 49 segments of this type of rope has been selected, and each was subjected to a breaking test. The force that caused each rope segment to break was recorded. The data followed a normal distribution, and the summary statistics are: x̄ = 3055 kg and s = 208 kg. (a) State the relevant hypotheses and carry out a hypothesis test to reach a decision at α = 0.01. Write down your conclusion clearly. (b) Calculate the P-value.
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