The probability that a train is behind schedule is 0.3. A new engine with better acceleration is to be tried on the route to see if the arrival time can be improved. To test the effectiveness of the engine improvements, 10 trials along the route are conducted. The train was behind schedule once. a. State the hypothesis to be considered. b. Identify the test statistic and state the null distribution. c. The test is to be conducted at a significance level of 5%. Find the critical region for this test.

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The probability that a train is behind schedule is 0.3. A new engine with better acceleration is to be
tried on the route to see if the arrival time can be improved. To test the effectiveness of the engine
improvements, 10 trials along the route are conducted. The train was behind schedule once.
a. State the hypothesis to be considered.
b. Identify the test statistic and state the null distribution.
c. The test is to be conducted at a significance level of 5%. Find the critical region for this test.
Transcribed Image Text:The probability that a train is behind schedule is 0.3. A new engine with better acceleration is to be tried on the route to see if the arrival time can be improved. To test the effectiveness of the engine improvements, 10 trials along the route are conducted. The train was behind schedule once. a. State the hypothesis to be considered. b. Identify the test statistic and state the null distribution. c. The test is to be conducted at a significance level of 5%. Find the critical region for this test.
Expert Solution
Step 1

a) 

It is given that we are trying a new engine to see if the arrival time can be improved, hence we want to decrease the probability that a train is behind schedule. 

Null hypothesis: P = 0.30
Alternative hypothesis: P < 0.30 (Claim)

This hypotheses constitute a one-tailed test and the significance level is 0.05.

 

Step 2

b)

We will use normal approximation for the sample proportion, hence the normal distribution would be used and the test statistics is z-statistics.

Use the sample data to perform one sample z-test and calculate the standard deviation (S.D) and compute the z-score test statistic (z).

S.D=P(1-P)n=0.30(1-0.30)10=0.1449137670.1449

z=p^-pS.D=0.10-0.300.1449=-1.38026225-1.38

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