Sufficient evidence to warrant rejection

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Reference no: EM131890125

There is conflicting information about whether a new medication affects a person's ability to concentrate as measured by time spent on a task.

You wish to test the following claim (HaHa) at a significance level of α=0.001α=0.001. For the context of this problem, μd=μ2-μ1μd=μ2-μ1 where the first data set represents a pre-test measure of time on task and the second data set represents a post-test measure of time on task.

Ho:μd=0Ho:μd=0 

Ha:μd<0Ha:μd<0

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

Pre Test Post test

54.3 49.2

46.4 28.2

57.6 17.5

48.6 21.8

39 -9.5

39.4 38.8

46.8 42.1

43.7 44.3

What is the test statistic for this sample? (Report answer accurate to three decimal places.) 

test statistic = 

What is the p-value for this sample? (Report answer accurate to four decimal places.) 

p-value = 

The p-value is...

  • less than (or equal to) αα
  • greater than αα

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 mean difference of post-test from pre-test is less than 0.
  • There is not sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is less than 0.
  • The sample data support the claim that the mean difference of post-test from pre-test is less than 0.
  • There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is less than 0.

Reference no: EM131890125

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