Question

You wish to test the following claim (HaHa) at a significance level of α=0.002α=0.002.       Ho:μ1=μ2Ho:μ1=μ2       Ha:μ1≠μ2Ha:μ1≠μ2...

You wish to test the following claim (HaHa) at a significance level of α=0.002α=0.002.

      Ho:μ1=μ2Ho:μ1=μ2
      Ha:μ1≠μ2Ha:μ1≠μ2

You believe both populations are normally distributed, but you do not know the standard deviations for either. However, you also have no reason to believe the variances of the two populations are not equal. You obtain the following two samples of data.

Sample #1 Sample #2
60 68.9 65.3
84.7 56.9 65.8
77.6 72.4 69.2
58.9 70 68.9
71.3 78 87.1
60.7 61.3 77.2
64 68.2 68.7
76.1 78.5 60.4
65.1 73.8 75.8
77.2
62.5 53.4 48.3
64.9 47.8 66.3
60.1 67.7 60.6
54.5 60.1 61.8
61.8 71.2 59.9
54.5



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? For this calculation, use the degrees of freedom reported from the technology you are using. (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 first population mean is not equal to the second population mean.
  • There is not sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean.
  • The sample data support the claim that the first population mean is not equal to the second population mean.
  • There is not sufficient sample evidence to support the claim that the first population mean is not equal to the second population mean.

Homework Answers

Answer #1

The statistical software output for this problem is :


Test statistics = 4.680

P-value = 0.000

The p-value is less than (or equal to) α

reject the null

There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean.

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