It describes heart rate variability in patients before and after a certain treatment.  Your task is to decide whether this treatment was successful. Run t-test for dependent samples.  IMPORTANT:

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It describes heart rate variability in patients before and after a certain treatment. 

Your task is to decide whether this treatment was successful. Run t-test for dependent samples. 

IMPORTANT:

In your response,

  • write the null hypothesis and alternative hypothesis;
  • your chosen a-level;
  • p-level for calculated t-test;
  • your decision on whether you reject the null hypothesis.

Heart-rate variability before treatment

Heart-rate variability after treatment

 

 

 

1402.73189164561

2076.68628032823

 

 

 

2630.82323539157

343.393243579664

 

 

 

17.9925778973231

461.716923403535

 

 

 

15.3476564624503

815.003645304419

 

 

 

111.18027545386

453.188649152339

 

 

 

1434.48327919346

848.938707440178

 

 

 

196.60024361565

5099.81860382564

 

 

 

1950.47014166244

475.291619246818

 

 

 

114.072124382794

848.938707440178

 

 

 

497.014081405137

640.165841666279

 

 

 

1395.20722739437

1719.49780325398

 

 

 

3804.92519926187

1780.77378633543

 

 

 

1395.20722739437

848.938707440178

 

 

 

538.466206858172

556.805942961282

 

 

 

369.719247193389

801.692366877669

 

 

 

61.0189789653785

467.385367740218

 

 

 

1253.19982622539

174.217051245943

 

 

 

241.504116287217

65.3973170895067

 

 

 

73.589155096492

17.0495447379701

 

 

 

456.227041813414

11.2479068117749

 

 

 

93.0238538715493

17.0495447379701

 

 

 

5516.32204262122

275.656180594758

 

 

 

654.091618987773

179.416186614151

 

 

 

 

Expert Solution
Step 1

State the null and alternative hypotheses:

The investigator is specifically interested to test whether the treatment was successful or not.

Here, d = Before – After.

Denote µd as the population mean difference in the heart rate variability in patients before and after a certain treatment.

The null and alternate hypotheses are stated below:

Null hypothesis H0:

H0 : µd = 0

That is, there is no significant difference in the heart rate variability in patients before and after a certain treatment.

Alternative hypothesis H1:

H1 : µd ≠ 0

That is, there is a significant difference in the heart rate variability in patients before and after a certain treatment.

In order to test the hypothesis regarding the significant difference between a paired set of n observations (xi, yi), a paired t-test is appropriate.

Thus, the sampling distribution used in the given scenario is “Student’s t” by assuming that d has an approximately normal distribution.

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