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A car manufacturer is trying to develop a new sports car. Engineers are hoping that the average amount of time that the car takes to go from 0 to 60 miles per hour is below 6 seconds. The manufacturer tested 12 of the cars and clocked their performance times. Three of the cars clocked in at 5.85.8 seconds, 5 cars at 5.95.9 seconds, 3 cars at 6.06.0 seconds, and 1 car at 6.16.1 seconds. At the 5%5 \% level of significance, test if the new sports car is meeting its goal to go from 0 to 60 miles per hour in less than 6 seconds. Assume a normal distribution for the analysis.

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Answered 1 year ago
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The goal of this task is to construct null and alternative hypotheses for testing whether a new sports car meets its goal of reaching 00 to 6060 miles per hour in less than 66 seconds.

  • n=12n = 12 of new cars being tested
  • 33 cars ran 5.85.8 seconds
  • 55 cars ran 5.95.9 seconds
  • 33 cars ran 66 seconds
  • The 11 car ran 6.16.1 seconds

We need to determine the value of the test statistic, pp- value, and test hypotheses at the level of 5%5 \% significance.

Suppose this is a normal distribution.

Which steps do we need to follow to construct hypotheses?

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