Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Due Today at 11:59 PM MST distribution among all Americans, as described by the

ID: 3320894 • Letter: D

Question

Due Today at 11:59 PM MST distribution among all Americans, as described by the census data. Your data satisfies the requirements for a chi-square test. You conduct the test using = .05 and reject the null hypothesis. You conclude there is a significant difference between the distribution of household sizes among welfare recipients and the distribution of the U.S population as provided by the census data. The following table shows the hypothetical results of sample of welfare recipients with the expected frequencies as computed using the census data shown in parentheses. the study. This table displays the observed frequencies in the puted using the census data shown in parentheses Frequencies: Observed (Expected) Household Size five-or-more-person four person three-person two-person one-person 30 (21:6) 28 (28.3)25 (32.9) 50 (64.9) 66 (51 4) To describe the details of the significant result, compare the provided observed and expected frequendes. Which of the following statements best describes the results? O A higher proportion of welfare recipients live in either larger households (five-or-more people) or smaller households (one-person) than the general U.S. population. population population. O A higher proportion of welfare recipients live in larger households (five-or-more people) than the general U.s O A higher proportion of welfare recipients live in smaller households (one-person) than the general u.s Player ww 2700182 Type here to search

Explanation / Answer

Result:

A higher proportion of welfare recipients live on smaller households than the gereral U.S.population.

Goodness of Fit Test

observed

expected

O - E

(O - E)² / E

% of chisq

30

21.600

8.400

3.267

25.65

28

28.300

-0.300

0.003

0.02

25

32.900

-7.900

1.897

14.90

50

64.900

-14.900

3.421

26.86

66

51.400

14.600

4.147

32.57

199

199.100

-0.100

12.735

100.00

Warning: sums should be equal.

12.73

chi-square

4

df

.0126

p-value

Goodness of Fit Test

observed

expected

O - E

(O - E)² / E

% of chisq

30

21.600

8.400

3.267

25.65

28

28.300

-0.300

0.003

0.02

25

32.900

-7.900

1.897

14.90

50

64.900

-14.900

3.421

26.86

66

51.400

14.600

4.147

32.57

199

199.100

-0.100

12.735

100.00

Warning: sums should be equal.

12.73

chi-square

4

df

.0126

p-value

Hire Me For All Your Tutoring Needs
Integrity-first tutoring: clear explanations, guidance, and feedback.
Drop an Email at
drjack9650@gmail.com
Chat Now And Get Quote