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You wish to test the following claim (H a Ha ) at a significance level of = 0.01 =0.01 . H o : = 89.4

You wish to test the following claim (H

a

Ha

) at a significance level of

=

0.01

=0.01

.

H

o

:

=

89.4

Ho:=89.4

H

a

:

<

89.4

Ha:<89.4

You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:

Column AColumn BColumn CColumn DColumn E81.3101.673.58881.173.58477.288.3101.686.27690.787.878.893.589.270.496.980.887.897.485.672.287.386.985.690.799.182.674.686.493.291.794.986.285.197.494.180.599.181.197.983.58672.967.773.586.286.2

Note: To save vertical scrolling space, the data set is shown here with five columns. In Statcrunch, you will need to make sure all the data are in ONE column.

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What is the test statistic for this sample?

test statistic =(Report answer accurate to 4 decimal places.)

What is the p-value for this sample?

p-value =(Report answer accurate to 4 decimal places.)

The p-value is...

  • less than (or equal to)
  • greater than

This test statistic leads to a decision to...

  • reject the null
  • accept the null
  • fail to reject the null

As such, the final conclusion is that...

  • There is sufficient evidence to warrant rejection of the claim that the population mean is less than 89.4.
  • There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 89.4.
  • The sample data support the claim that the population mean is less than 89.4.
  • There is not sufficient sample evidence to support the claim that the population mean is less than 89.4.

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