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Changes in Education Attainment: According to the U.S. Census Bureau, the distribution of Highest Education Attainment...

Changes in Education Attainment: According to the U.S. Census Bureau, the distribution of Highest Education Attainment in U.S. adults aged 25 - 34 in the year 2005 is given in the table below.

Census: Highest Education Attainment - 2005

No High School Associate's Bachelor's Graduate or
Diploma Diploma Degree Degree Professional Degree
Percent 14% 48% 8% 22% 8%


In a survey of 4000 adults aged 25 - 34 in the year 2013, the counts for these levels of educational attainment are given in the table below.

Survey (n = 4000): Highest Education Attainment - 2013

No High School Associate's Bachelor's Graduate or
Diploma Diploma Degree Degree Professional Degree
Count 485 1922 336 876 381


The Test: Test whether or not the distribution of education attainment has changed from 2005 to 2013. Conduct this test at the 0.01 significance level.(a) What is the null hypothesis for this test?

H0: p1 = p2 = p3 = p4 = p5 = 1/5 H0: The probabilities are not all equal to 1/5.     H0: p1 = 0.14, p2 = 0.48, p3 = 0.08, p4 = 0.22, and p5 = 0.08. H0: The distribution in 2013 is different from that in 2005.

(b) The table below is used to calculate the test statistic. Complete the missing cells.
Round your answers to the same number of decimal places as other entries for that column.

Highest Observed Assumed Expected
i Education Frequency (Oi) Probability (pi) Frequency Ei
(OiEi)2
Ei
1 No Diploma 485 0.14 560 2
2 Diploma 1922 0.48 3 0.002
3 Associate's 336 4 320 0.800
4 Bachelor's 5 0.22 880 0.018
5 Grad or Prof 381 0.08 320 11.628
Σ n = 4000 χ2 = 6

(c) What is the value for the degrees of freedom? 7
(d) What is the critical value of

χ2

? Use the answer found in the

χ2

-table or round to 3 decimal places.
tα = 8

(e) What is the conclusion regarding the null hypothesis?

reject H0 fail to reject H0    


(f) Choose the appropriate concluding statement.

We have proven that the distribution of 2013 education attainment levels is the same as the distribution in 2005. The data suggests that the distribution of 2013 education attainment levels is different from the distribution in 2005.      There is not enough data to suggest that the distribution of 2013 education attainment levels is different from the distribution in 2005.

Solutions

Expert Solution

a) Null and Alternative hypothesis:

H0: p1 = 0.14, p2 = 0.48, p3 = 0.08, p4 = 0.22, and p5 = 0.08.

Category Observed Frequency (O) Proportion, p Expected Frequency (E) (O-E)²/E
No diploma 485 0.14 4000 * 0.14 = 560 (485 - 560)²/560 = 10.0446
High school diploma 1922 0.48 4000 * 0.48 = 1920 (1922 - 1920)²/1920 = 0.0021
Associate's Degree 336 0.08 4000 * 0.08 = 320 (336 - 320)²/320 = 0.8
Bachelor's Degree 876 0.22 4000 * 0.22 = 880 (876 - 880)²/880 = 0.0182
Graduate Degree 381 0.08 4000 * 0.08 = 320 (381 - 320)²/320 = 11.6281
Total 4000 1 4000 χ² = 22.4930

c) Degree of freedom, df = n-1 = 4

d) Critical value:

χ²α = CHISQ.INV.RT(0.01, 4) = 13.277

e) As χ² = 22.493 > 13.277, so we reject the null hypothesis.

f) Conclusion:

The data suggests that the distribution of 2013 education attainment levels is different from the distribution in 2005.


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