Question

In: Statistics and Probability

Disadvantage groups, notably Blacks and Hispanics. Have had smaller high school graduation rates and so less...

Disadvantage groups, notably Blacks and Hispanics. Have had smaller high school graduation rates and so less access to college than Whites. Among those with college degrees is an educational success beyond college similarly affected? To address this question use the data below. sample of 30-year-old Americans with college degrees.

Highest Degree. Whites Black Hispanic Row Totals

College 5030 549 412 5991

Advanced 1324    117 99 1540

Columm totals 6354 668 511 7634 (grand)

a) state appropriate hypotheses

b) Find the degree of freedom

Compute the expected values for the entries for Hispanics. Compute the corresponding contributions to x2. To save time here are the contributions of x2 from the cells of white and blacks: 0.12, 0.7, 0.47, and 2.70.

d) conduct the appropriate test and give (an estimate of) p-value.

e) give an appropriate conclusion in statistical and everyday language.

Solutions

Expert Solution

Solution:

Here, we have to use chi square test for independence of two categorical variables.

a) state appropriate hypotheses

Null hypothesis: H0: Among those with college degrees is an educational success beyond college not similarly affected.

Alternative hypothesis: Ha: Among those with college degrees is an educational success beyond college similarly affected.

We assume level of significance = α = 0.05

Test statistic formula is given as below:

Chi square = ∑[(O – E)^2/E]

Where, O is observed frequencies and E is expected frequencies.

E = row total * column total / Grand total

b) Find the degree of freedom

We are given

Number of rows = r = 2

Number of columns = c = 3

Degrees of freedom = df = (r – 1)*(c – 1) = 1*2 = 2

α = 0.05

Critical value = 5.991465

(by using Chi square table or excel)

Compute the expected values for the entries for Hispanics.

Calculation tables for test statistic are given as below:

Observed Frequencies

Column variable

Row variable

White

Black

Hispanic

Total

College

5030

549

412

5991

Advanced

1324

117

99

1540

Total

6354

666

511

7531

Expected Frequencies

Column variable

Row variable

White

Black

Hispanic

Total

College

5054.683

529.8109

406.5066

5991

Advanced

1299.317

136.1891

104.4934

1540

Total

6354

666

511

7531

Calculations

(O - E)

-24.6825

19.18909

5.493427

24.68251

-19.1891

-5.49343

(O - E)^2/E

0.120527

0.695005

0.074237

0.468882

2.703748

0.2888

expected values for the entries for Hispanics = 0.07, 0.29

d) conduct the appropriate test and give (an estimate of) p-value.

Chi square = ∑[(O – E)^2/E] = 4.351199

P-value = 0.11354

(By using Chi square table or excel)

e) give an appropriate conclusion in statistical and everyday language.

P-value > α = 0.05

So, we do not reject the null hypothesis

There is insufficient evidence to conclude that among those with college degrees is an educational success beyond college similarly affected.


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