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Table 4: Estimated power of the two-stage procedure for different sample sizes and  α  pre

From: To test or not to test: Preliminary assessment of normality when comparing two independent samples

  

Strategy I

Strategy II

  

n = 10

n = 20

n = 30

n = 40

n = 50

n = 10

n = 20

n = 30

n = 40

n = 50

Exponential distributions with rate parameters 1.0 and 2.0

     
 

U test only

.224

.443

.612

.743

.835

     
 

α pre = .100

.248

.446

.609

.743

.835

.259

.449

.609

.743

.835

 

α pre = .050

.254

.451

.610

.744

.835

.261

.454

.610

.744

.835

 

α pre = .010

.270

.467

.615

.744

.835

.271

.466

.615

.744

.835

 

α pre = .005

.264

.482

.615

.743

.837

.265

.475

.614

.743

.837

 

t test only

.240

.518

.721

.847

.919

     

Uniform distributions in [0.0, 1.0] and [0.2, 1.2]

     
 

U test only

.256

.512

.686

.813

.892

     
 

α pre = .100

.287

.537

.703

.817

.894

.290

.529

.697

.816

.895

 

α pre = .050

.292

.550

.714

.821

.894

.294

.542

.702

.817

.894

 

α pre = .010

.295

.558

.740

.848

.908

.295

.559

.729

.835

.900

 

α pre = .005

.294

.561

.749

.855

.915

.295

.563

.742

.842

.906

 

t test only

.292

.561

.748

.867

.930

     

Normal distributions with means 0.0 and 0.6 and unit variance

     
 

U test only

.215

.434

.600

.731

.824

     
 

α pre = .100

.244

.455

.626

.750

.840

.249

.459

.631

.754

.843

 

α pre = .050

.245

.456

.625

.753

.842

.248

.459

.628

.755

.844

 

α pre = .010

.244

.455

.629

.756

.842

.245

.455

.630

.756

.842

 

α pre = .005

.245

.458

.627

.751

.845

.246

.458

.628

.752

.845

 

t test only

.247

.456

.627

.754

.844