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16. Testing: H0:=31.04H0:=31.04 H1:>31.04H1:>31.04 Your sample consists of 42 subjects, with a mean of 31.6 and a sample standard deviation (s) of 3.52. Calculate the

16. Testing: H0:=31.04H0:=31.04 H1:>31.04H1:>31.04 Your sample consists of 42 subjects, with a mean of 31.6 and a sample standard deviation (s) of 3.52. Calculate the test statistic, rounded to 2 decimal places.t=t=

17. Testing: H0:=26.38H0:=26.38 H1:26.38H1:26.38 Your sample consists of 48 subjects, with a mean of 25.5 and standard deviation of 1.84. Calculate the test statistic, rounded to 2 decimal places.

t=

18. Testing: H0:=42.875H0:=42.875 H1:>42.875H1:>42.875 Your sample consists of 42 subjects, with a mean of 44.3 and standard deviation of 3.05. Calculate the test statistic, rounded to 2 decimal places.t=t=

19. Identifying Type I and Type II Errors A new electronic component for aircraft is tested to withstand temperatures as low as -50F. One engineer suggests that the device cannot actually stand temperatures that low. What are the Type I and Type II errors?

  • Type I: The device CAN NOT withstand tempratures as low as -50F but the engineer incorrectly finds that it CAN. Type II: The device CAN withstand temperatures as low as -50F but the engineer incorrectly finds that it CAN NOT.
  • Type I: The device CAN withstand tempratures as low as -50F but the engineer incorrectly finds that it CAN NOT. Type II: The device CAN NOT withstand temperatures as low as -50F but the engineer incorrectly finds that it CAN.

20. Your sample consists of 26 subjects, with a mean of 21 and standard deviation of 4.06. The population mean is =19.27=19.27. Calculate the test statistic, rounded to 3 decimal places.t

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