Infer a normal population mean and conduct a one-tailed 5% hypothesis test.

Infer a normal population mean and conduct a one-tailed 5% hypothesis test.

10 marks
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An urban highway has a speed limit of \(50\text{ km h}^{-1}\). Vehicle speeds are normally distributed with a standard deviation of \(10\text{ km h}^{-1}\), and 30% of vehicles exceed the speed limit.

  1. Show that the mean speed of the vehicles is approximately \(44.8\text{ km h}^{-1}\). The police conduct a “Safer Driving” campaign intended to encourage slower driving and want to know whether it has been effective. A sample of 25 vehicles has a mean speed of \(41.3\text{ km h}^{-1}\).[3]
  2. Given that the null hypothesis is \(H_0\): the mean speed has been unaffected by the campaign, state \(H_1\), the alternative hypothesis.[1]
  3. State whether a one-tailed or two-tailed test is appropriate for these hypotheses, and explain why.[2]
  4. Has the campaign had significant effect at the 5% level?[4]

Solution:

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Answer:The standard error is \(10/\sqrt{25}=2\), so \(z=(41.3-44.8)/2\approx-1.73\). The one-tailed p-value is approximately 0.042, below 0.05; the campaign has had a significant effect.

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