Question

Part 3: Hypothesis Testing In 2011, the national percent of low-income working families had an ap...

Part 3: Hypothesis Testing

In 2011, the national percent of low-income working families had an approximately normal distribution with a mean of 31.3% and a standard deviation of 6.2% (The Working Poor Families Project, 2011). Although it remained slow, some politicians claimed that the recovery from the Great Recession was steady and noticeable. As a result, it was believed that the national percent of low-income working families was significantly lower in 2014 than it was in 2011. To support this belief, a spring 2014 sample of n=16 jurisdictions produced a sample mean of 29.8% for the percent of low-income working families, with a sample standard deviation of 4.1%. Using an α=0.10 significance level, test the claim that the national average percent of low-income working families had improved by 2014.

  • Clearly identify the claim and state the null and alternate hypotheses for this test.
  • Write a few brief sentences to state the type of test that should be performed based on the hypotheses and the information provided (or not provided) in the narrative above. Additionally, state the assumptions and conditions that justify its appropriateness.
  • Use technology to identify the test statistic and the resulting P-value associated with the sample results. Provide these values.
  • State, separately, both the decision/result of the hypothesis test, and the appropriate conclusion/statement about the claim.

Reference(s): The Working Poor Families Project. (2011). Indicators and Data. Retrieved from http://www.workingpoorfamilies.org/indicators/

2011 Data

Jurisdiction

Percent of low income working families (<200% poverty level)

Percent of 18-64 year olds with no HS diploma

Alabama

37.3

15.3

Alaska

25.9

8.6

Arizona

38.9

14.8

Arkansas

41.8

14

California

34.3

17.6

Colorado

27.6

10.1

Connecticut

21.1

9.5

Delaware

27.8

11.9

District of Columbia

23.2

10.8

Florida

37.3

13.1

Georgia

36.6

14.9

Hawaii

25.8

7.2

Idaho

38.6

10.7

Illinois

30.4

11.5

Indiana

31.9

12.2

Iowa

28.8

8.1

Kansas

32

9.7

Kentucky

34.1

13.6

Louisiana

36.3

16.1

Maine

30.4

7.1

Maryland

19.5

9.7

Massachusetts

20.1

9.1

Michigan

31.6

10

Minnesota

24.2

7.3

Mississippi

43.6

17

Missouri

32.7

11.1

Montana

36

7

Nebraska

31.1

8.7

Nevada

37.4

16.6

New Hampshire

19.7

7.3

New Jersey

21.2

10.1

New Mexico

43

16.2

New York

30.2

13

North Carolina

36.2

13.6

North Dakota

27.2

5.9

Ohio

31.8

10.3

Oklahoma

37.4

13.2

Oregon

33.9

10.8

Pennsylvania

26

9.4

Rhode Island

26.9

12

South Carolina

38.3

14.2

South Dakota

31

8.7

Tennessee

36.6

12.7

Texas

38.3

17.8

Utah

32.3

9.9

Vermont

26.2

6.6

Virginia

23.3

10.2

Washington

26.4

10.2

West Virginia

36.1

12.9

Wisconsin

28.7

8.5

Wyoming

28.1

8

0 0
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Answer #1

Let 1 represent the 2014 data and 2 represent the 2011 data

We conduct a lower-tailed t test for independent samples to test if μ1 < μ2

Data:       

n1 = 16      

n2 = 51      

x1-bar = 29.8      

x2-bar = 31.3      

s1 = 4.1      

s2 = 6.2      

Hypotheses:       

Ho: μ1 ≥ μ2       

Ha: μ1 < μ2       

Decision Rule:       

α = 0.1      

Degrees of freedom =   16 + 51 - 2 = 65    

Critical t- score =   -1.294712013     

Reject Ho if t <   -1.294712013     

Test Statistic:       

Pooled SD, s = √[{(n1 - 1) s1^2 + (n2 - 1) s2^2} / (n1 + n2 - 2)] =      √(((16 - 1) * 4.1^2 + (51 - 1) * 6.2^2) / (16 + 51 - 2)) = 5.783464493

SE = s * √{(1 /n1) + (1 /n2)} = 5.78346449271209 * √((1/16) + (1/51)) = 1.657220876     

t = (x1-bar -x2-bar)/SE = (29.8 - 31.3)/1.65722087640197 = -0.9051298     

p- value = 0.184369716      

Decision (in terms of the hypotheses):       

Since -0.9051298 > -1.294712013 we fail to reject Ho   

Conclusion (in terms of the problem):       

There is no sufficient evidence to support the claim that the national average percent of low-income working families had improved by 2014.

[Please give me a Thumbs Up if you are satisfied with my answer. If you are not, please comment on it, so I can edit the answer. Thanks.]

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