working on a real estate data

Table of Upper-Tail and Two-Tail t Critical Values

one-tail p

0.001

0.0025

0.005

0.01

0.025

0.05

0.1

0.25

two-tail p

0.002

0.005

0.01

0.02

0.05

0.1

0.2

0.5

df = 1

318.3

127.3

63.66

31.82

12.71

6.314

3.078

1.000

2

22.33

14.09

9.925

6.965

4.303

2.920

1.886

0.816

3

10.21

7.453

5.841

4.541

3.182

2.353

1.638

0.765

4

7.173

5.598

4.604

3.747

2.776

2.132

1.533

0.741

5

5.893

4.773

4.032

3.365

2.571

2.015

1.476

0.727

6

5.208

4.317

3.707

3.143

2.447

1.943

1.440

0.718

7

4.785

4.029

3.499

2.998

2.365

1.895

1.415

0.711

8

4.501

3.833

3.355

2.896

2.306

1.860

1.397

0.706

9

4.297

3.690

3.250

2.821

2.262

1.833

1.383

0.703

10

4.144

3.581

3.169

2.764

2.228

1.812

1.372

0.700

11

4.025

3.497

3.106

2.718

2.201

1.796

1.363

0.697

12

3.930

3.428

3.055

2.681

2.179

1.782

1.356

0.695

13

3.852

3.372

3.012

2.650

2.160

1.771

1.350

0.694

14

3.787

3.326

2.977

2.624

2.145

1.761

1.345

0.692

15

3.733

3.286

2.947

2.602

2.131

1.753

1.341

0.691

16

3.686

3.252

2.921

2.583

2.120

1.746

1.337

0.690

17

3.646

3.222

2.898

2.567

2.110

1.740

1.333

0.689

18

3.610

3.197

2.878

2.552

2.101

1.734

1.330

0.688

19

3.579

3.174

2.861

2.539

2.093

1.729

1.328

0.688

20

3.552

3.153

2.845

2.528

2.086

1.725

1.325

0.687

21

3.527

3.135

2.831

2.518

2.080

1.721

1.323

0.686

22

3.505

3.119

2.819

2.508

2.074

1.717

1.321

0.686

23

3.485

3.104

2.807

2.500

2.069

1.714

1.319

0.685

24

3.467

3.091

2.797

2.492

2.064

1.711

1.318

0.685

25

3.450

3.078

2.787

2.485

2.060

1.708

1.316

0.684

26

3.435

3.067

2.779

2.479

2.056

1.706

1.315

0.684

27

3.421

3.057

2.771

2.473

2.052

1.703

1.314

0.684

28

3.408

3.047

2.763

2.467

2.048

1.701

1.313

0.683

29

3.396

3.038

2.756

2.462

2.045

1.699

1.311

0.683

30

3.385

3.030

2.750

2.457

2.042

1.697

1.310

0.683

31

3.375

3.022

2.744

2.453

2.040

1.696

1.309

0.682

32

3.365

3.015

2.738

2.449

2.037

1.694

1.309

0.682

33

3.356

3.008

2.733

2.445

2.035

1.692

1.308

0.682

34

3.348

3.002

2.728

2.441

2.032

1.691

1.307

0.682

35

3.340

2.996

2.724

2.438

2.030

1.690

1.306

0.682

36

3.333

2.990

2.719

2.434

2.028

1.688

1.306

0.681

37

3.326

2.985

2.715

2.431

2.026

1.687

1.305

0.681

38

3.319

2.980

2.712

2.429

2.024

1.686

1.304

0.681

39

3.313

2.976

2.708

2.426

2.023

1.685

1.304

0.681

40

3.307

2.971

2.704

2.423

2.021

1.684

1.303

0.681

41

3.301

2.967

2.701

2.421

2.020

1.683

1.303

0.681

42

3.296

2.963

2.698

2.418

2.018

1.682

1.302

0.680

43

3.291

2.959

2.695

2.416

2.017

1.681

1.302

0.680

44

3.286

2.956

2.692

2.414

2.015

1.680

1.301

0.680

45

3.281

2.952

2.690

2.412

2.014

1.679

1.301

0.680

46

3.277

2.949

2.687

2.410

2.013

1.679

1.300

0.680

47

3.273

2.946

2.685

2.408

2.012

1.678

1.300

0.680

48

3.269

2.943

2.682

2.407

2.011

1.677

1.299

0.680

49

3.265

2.940

2.680

2.405

2.010

1.677

1.299

0.680

50

3.261

2.937

2.678

2.403

2.009

1.676

1.299

0.679

55

3.245

2.925

2.668

2.396

2.004

1.673

1.297

0.679

60

3.232

2.915

2.660

2.390

2.000

1.671

1.296

0.679

65

3.220

2.906

2.654

2.385

1.997

1.669

1.295

0.678

70

3.211

2.899

2.648

2.381

1.994

1.667

1.294

0.678

75

3.202

2.892

2.643

2.377

1.992

1.665

1.293

0.678

80

3.195

2.887

2.639

2.374

1.990

1.664

1.292

0.678

85

3.189

2.882

2.635

2.371

1.988

1.663

1.292

0.677

90

3.183

2.878

2.632

2.368

1.987

1.662

1.291

0.677

95

3.178

2.874

2.629

2.366

1.985

1.661

1.291

0.677

100

3.174

2.871

2.626

2.364

1.984

1.660

1.290

0.677

120

3.160

2.860

2.617

2.358

1.980

1.658

1.289

0.677

140

3.149

2.852

2.611

2.353

1.977

1.656

1.288

0.676

160

3.142

2.846

2.607

2.350

1.975

1.654

1.287

0.676

180

3.136

2.842

2.603

2.347

1.973

1.653

1.286

0.676

200

3.131

2.839

2.601

2.345

1.972

1.653

1.286

0.676

250

3.123

2.832

2.596

2.341

1.969

1.651

1.285

0.675

300

3.118

2.828

2.592

2.339

1.968

1.650

1.284

0.675

350

3.114

2.825

2.590

2.337

1.967

1.649

1.284

0.675

400

3.111

2.823

2.588

2.336

1.966

1.649

1.284

0.675

450

3.108

2.821

2.587

2.335

1.965

1.648

1.283

0.675

500

3.107

2.820

2.586

2.334

1.965

1.648

1.283

0.675

600

3.104

2.817

2.584

2.333

1.964

1.647

1.283

0.675

700

3.102

2.816

2.583

2.332

1.963

1.647

1.283

0.675

800

3.100

2.815

2.582

2.331

1.963

1.647

1.283

0.675

900

3.099

2.814

2.581

2.330

1.963

1.647

1.282

0.675

1000

3.098

2.813

2.581

2.330

1.962

1.646

1.282

0.675

2000

3.094

2.810

2.578

2.328

1.961

1.646

1.282

0.675

3000

3.093

2.809

2.577

2.328

1.961

1.645

1.282

0.675

4000

3.092

2.809

2.577

2.327

1.961

1.645

1.282

0.675

5000

3.092

2.808

2.577

2.327

1.960

1.645

1.282

0.675

df = ∞ ( z)

3.090

2.807

2.576

2.326

1.960

1.645

1.282

0.674

one-tail p

0.001

0.0025

0.005

0.01

0.025

0.05

0.1

0.25

two-tail p

0.002

0.005

0.01

0.02

0.05

0.1

0.2

0.5