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The accuracy of a census report on a city in southern California was questioned by some government officials

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 OriginCensus PercentSample ResultBlack10%        140        Asian3%        44        Anglo38%        460        Latino/Latina41%        493        Native American6%        65        All others2%        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 the same.
H0: The distributions are different.
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 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?
normal
chi-square
Student’s t
uniform
binomial

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.

 
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