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

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The accuracy of a census report on a city in southern Californiawas questioned by some government officials. A random sample of1215 people living in the city was used to check the report, andthe results are shown below.

Ethnic Origin

Census Percent

Sample Result

Black

10%

121

Asian

3%

47

Anglo

38%

486

Latino/Latina

41%

486

Native American

6%

62

All others

2%

13

Using a 1% level of significance, test the claim that the censusdistribution and the sample distribution agree.

(a) What is the level of significance?

State the null and alternate hypotheses.

H0: The distributions are different.

H1: The distributions are different.

H0: The distributions are the same.

H1: The distributions aredifferent.    

H0: The distributions are the same.

H1: The distributions are the same.

H0: The distributions are different.

H1: The distributions are the same.

(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?

uniform

chi-square    

Student's t

normal

binomial

What are the degrees of freedom?

(c) Estimate the P-value of the sample teststatistic.

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 rejector fail to reject the null hypothesis that the population fits thespecified distribution of categories?

Since the P-value > ?, we fail to rejectthe null hypothesis.

Since the P-value > ?, we reject the nullhypothesis.    

Since the P-value ? ?, we reject the nullhypothesis.

Since the P-value ? ?, we fail to reject thenull hypothesis.

(e) Interpret your conclusion in the context of theapplication.

At the 1% level of significance, the evidence is sufficient toconclude that census distribution and the ethnic origindistribution of city residents are different.

At the 1% level of significance, the evidence is insufficient toconclude that census distribution and the ethnic origindistribution of city residents are different.  

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