Question

You wish to test the following claim (HaHa) at a significance level of α=0.01α=0.01.

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

You obtain the following two samples of data.

Sample #1 Sample #2
54.9 57.4 66.1 63.7
48.9 57.4 65.2 59.3
48.9 57.9 57.6 51.8
56.3 59.6 59.4 55.1
65.8 58 49.4 64.4
65.2 52.6 62.7 58.8
56.8 62.3 59.3 54.9
61.9 52.8 53.9 62.9
60.9 54.1 62.7 54.1
62.5 54.5 64.4 58
65.2 47.6 56.9 65.8
62.7 54.1 53.3 62.3
53.3
79.6 71.4 66.3 67.5
69.2 86.3 60.6 72.8
62.1 66.6 60.3 56.9
62.9 45.6 71.4 70.1
65.2 86.3 65.5 63.8
69.5 70.4 70.4 54.9
68.3 60.9 64.4 63.8
66.9 46.8 54.5 66.3
66 86.3 70.4 66
69.5 44.1



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

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 = Incorrect

The p-value is...

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

Correct

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Answer #1

Using 2 sample t test in Minitab software, we get the following output

Minitab Untitled - [Session] File Edit Data Calc Stat Graph Editor Tools Window Help Assistant ||2 日 호 XEh Sd C)t↓ 0@f 幻园 10日口凸哂ー囲EL 19-01-2019 15:47:59 Welcome to Minitab, press Fl for help. MTB > Twosample Sample 1 Sample 2 SUBC Confidence 95.0 SUBC Test 0.0; SUBC Alternative 0 Two-Sample T-Test and Cl: Sample 1, Sample 2 Two-sample T for Sample 1 vs Sample 2 N Mean StDev SE Mean 0.72 Sample 1 49 58.24 5.06 Sample 2 38 66.05 9.55 Difference μ (sample 1) -μ (sample 2) Estimate for difference -7.81 95% CI for difference : (-11.24, -4.38) T-Test of difference = 0 (vs : T-Value =-4.57 P-Value = 0.000 DF = 52 MTB

To test H_0:mu_1 = mu_2 against H_1:mu_1 < mu_2

The test statistic can be written as

2x -) which under H0 follows a t distribution with gamma df

where 2 7l

We reject H0 at 5% level of significance if P-value < 0.05

Now,

rı = 58.237. sl = 5,061. nı = 49.T2 = 66.05, s-= 9.55, n-= 38

The value of the test statistic tobs -4.57

and P-value = Plt, < tols) = P(t52 <-4.57) = 0

Since P-value < 0.05, so we reject H0 at 5% level of significance and we can conclude that population mean for 1st sample is significantly less than that of for sample 2.

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You wish to test the following claim (HaHa) at a significance level of α=0.01α=0.01.       Ho:μ1=μ2Ho:μ1=μ2       Ha:μ1<μ2Ha:μ1<μ2...
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