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a.) Develop hypotheses that can be used to test whether the number of kids reach

ID: 3227040 • Letter: A

Question

a.) Develop hypotheses that can be used to test whether the number of kids reached is higher when the median income of the county is above $45,000.

b.) Has a statistically significant incline occurred in the number of kids reached who have a higher median income of $45,000 or above? Use = .10

c.) Calculate the value of the test statistic (to 2 decimals).

d.) What is the p-value (to 4 decimals)?

e.) What is your conclusion?

County

Kids Reached

Median Income

Median Age

Boone

495

$48,627

30.4

Callaway

912

$47,964

37.8

Cole

88

$53,931

39.2

Howard

640

$42,747

38.8

Osage

63

$51,408

39.8

Gasconade

194

$41,392

45.6

Randolph

283

$37,203

38.4

Saline

40

$39,519

38.2

Adair

549

$34,733

27.9

Audrain

211

$43,013

39.2

Carroll

434

$46,002

42.4

Chariton

194

$39,385

45.5

Knox

80

$34,481

43.6

Lewis

984

$42,071

39.3

Linn

264

$38,250

42.8

Marion

321

$42,046

39.7

Pike

528

$39,850

39.5

Ralls

199

$47,969

45.1

Shelby

492

$35,938

42.4

Scotland

10

$39,028

39.1

Sullivan

494

$36,676

40.9

Adams

3,818

$45,073

40.8

Pike

29

$39,845

42.6

Bollinger

22

$37,716

43.1

Cape Girardeau

4,269

$46,516

37.3

Christian

480

$53,730

37.6

Iron

87

$36,239

43.1

Lawrence

181

$40,597

39.6

Sainte Genevieve

24

$48,433

42.5

Madison

2,478

$35,870

42.3

Newton

65

$43,290

39.7

Pemiscot

607

$29,238

37.6

Perry

252

$47,876

39.7

Phelps

442

$41,618

34.4

Pulaski

1,200

$47,931

26.8

Scott

750

$40,651

39.7

Texas

41

$35,088

41.6

Greene

1,612

$40,337

35.4

Clinton

226

$61,720

40.1

Fayette

18

$44,722

40.1

Madison

3,022

$53,633

39.8

Macoupon

166

$49,590

42.6

Marion

10

$41,010

41.7

Monroe

536

$68,482

42.1

Montgomery

27

$41,952

42.2

Sangamon

667

$57,576

39.4

St. Clair

8,542

$50,578

37.7

Washington

290

$52,832

42.6

Crawford

503

$35,897

41.2

Franklin

3,403

$48,857

41.0

Jefferson

9,331

$54,845

38.7

Lincoln

2,693

$52,835

36.5

St. Charles

5,037

$71,077

37.8

St. Francois

1,081

$37,238

39.4

St. Louis City

24,186

$38,397

35.0

St. Louis County

37,617

$58,910

40.2

Warren

164

$50,830

40.2

Washington

1,374

$34,702

40.1

County

Kids Reached

Median Income

Median Age

Boone

495

$48,627

30.4

Callaway

912

$47,964

37.8

Cole

88

$53,931

39.2

Howard

640

$42,747

38.8

Osage

63

$51,408

39.8

Gasconade

194

$41,392

45.6

Randolph

283

$37,203

38.4

Saline

40

$39,519

38.2

Adair

549

$34,733

27.9

Audrain

211

$43,013

39.2

Carroll

434

$46,002

42.4

Chariton

194

$39,385

45.5

Knox

80

$34,481

43.6

Lewis

984

$42,071

39.3

Linn

264

$38,250

42.8

Marion

321

$42,046

39.7

Pike

528

$39,850

39.5

Ralls

199

$47,969

45.1

Shelby

492

$35,938

42.4

Scotland

10

$39,028

39.1

Sullivan

494

$36,676

40.9

Adams

3,818

$45,073

40.8

Pike

29

$39,845

42.6

Bollinger

22

$37,716

43.1

Cape Girardeau

4,269

$46,516

37.3

Christian

480

$53,730

37.6

Iron

87

$36,239

43.1

Lawrence

181

$40,597

39.6

Sainte Genevieve

24

$48,433

42.5

Madison

2,478

$35,870

42.3

Newton

65

$43,290

39.7

Pemiscot

607

$29,238

37.6

Perry

252

$47,876

39.7

Phelps

442

$41,618

34.4

Pulaski

1,200

$47,931

26.8

Scott

750

$40,651

39.7

Texas

41

$35,088

41.6

Greene

1,612

$40,337

35.4

Clinton

226

$61,720

40.1

Fayette

18

$44,722

40.1

Madison

3,022

$53,633

39.8

Macoupon

166

$49,590

42.6

Marion

10

$41,010

41.7

Monroe

536

$68,482

42.1

Montgomery

27

$41,952

42.2

Sangamon

667

$57,576

39.4

St. Clair

8,542

$50,578

37.7

Washington

290

$52,832

42.6

Crawford

503

$35,897

41.2

Franklin

3,403

$48,857

41.0

Jefferson

9,331

$54,845

38.7

Lincoln

2,693

$52,835

36.5

St. Charles

5,037

$71,077

37.8

St. Francois

1,081

$37,238

39.4

St. Louis City

24,186

$38,397

35.0

St. Louis County

37,617

$58,910

40.2

Warren

164

$50,830

40.2

Washington

1,374

$34,702

40.1

Explanation / Answer

µ = 44,792.48; = 8513.05;

H0: µ1 45000; H1: µ1 > 45000

z = (45000 - 44792) / 8513.05 = 0.0244

p-value = 0.4902

p-value > 0.1

Hence, we cannot reject the null hypothesis.