In: Statistics and Probability
The accuracy of a census report on a city in southern California was questioned by some government officials. A random sample of 1215 people living in the city was used to check the report, and the results are shown below.
Ethnic Origin | Census Percent | Sample Result |
Black | 10% | 120 |
Asian | 3% | 47 |
Anglo | 38% | 469 |
Latino/Latina | 41% | 503 |
Native American | 6% | 63 |
All others | 2% | 13 |
Using a 1% level of significance, test the claim that the census distribution and the sample distribution agree.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: The distributions are the same.
H1: The distributions are different.
H0: The distributions are different.
H1: The distributions are the
same.
H0: The distributions are the same.
H1: The distributions are the same.
H0: The distributions are different.
H1: The distributions are different.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
Yes
No
What sampling distribution will you use?
Student's t
chi-square
binomial
uniform
normal
What are the degrees of freedom?
(c) Estimate the P-value of the sample test statistic.
P-value > 0.100
0.050 < P-value < 0.100
0.025 < P-value < 0.050
0.010 < P-value < 0.025
0.005 < P-value < 0.010
P-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis that the population fits the
specified distribution of categories?
Since the P-value > α, we fail to reject the null hypothesis.
Since the P-value > α, we reject the null hypothesis.
Since the P-value ≤ α, we reject the null hypothesis.
Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 1% level of significance, the evidence is sufficient to conclude that census distribution and the ethnic origin distribution of city residents are different.
At the 1% level of significance, the evidence is insufficient to conclude that census distribution and the ethnic origin distribution of city residents are different.
Solution:
Given:
. A random sample of 1215 people living in the city was used to check the report, and the results are shown below.
Ethnic Origin | Census Percent | Sample Result |
Black | 10% | 120 |
Asian | 3% | 47 |
Anglo | 38% | 469 |
Latino/Latina | 41% | 503 |
Native American | 6% | 63 |
All others | 2% | 13 |
Part a) What is the level of significance?
the level of significance =
State the null and alternate hypotheses.
H0: The distributions are the same.
H1: The distributions are different.
Part b) Find the value of the chi-square statistic for the sample.
To get Ei , multiply % values by N = 1215
Ethnic Origin | Census Percent | Sample Result | Ei | Oi^2/Ei |
Black | 10% | 120 | 121.5 | 118.519 |
Asian | 3% | 47 | 36.45 | 60.604 |
Anglo | 38% | 469 | 461.7 | 476.415 |
Latino/Latina | 41% | 503 | 498.15 | 507.897 |
Native American | 6% | 63 | 72.9 | 54.444 |
All others | 2% | 13 | 24.3 | 6.955 |
N = 1215 |
Thus
Are all the expected frequencies greater than 5?
Yes
What sampling distribution will you use?
chi-square
What are the degrees of freedom?
the degrees of freedom = k - 1
the degrees of freedom = 6 - 1
the degrees of freedom = 5
Part c) Estimate the P-value of the sample test statistic.
look in Chi-square table for df = 5 row and find the interval in which fall. then find corresponding one tail area interval.
fall between 9.236 and 11.070
Corresponding area is between 0.050 and 0.100
Thus range of p-values is:
0.050 < p-value < 0.100
Part d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that
Since 0.050 < p-value < 0.100, it means that p-value > 0.01 significance level, we fail to reject H0.
Since the P-value > α, we fail to reject the null hypothesis.
Part e) Interpret your conclusion in the context of the application.
At the 1% level of significance, the evidence is insufficient to conclude that census distribution and the ethnic origin distribution of city residents are different.