The age distribution of the Canadian population and the age distribution

of a random sample of 455 residents in the Indian community of a village are shown below.
Age (years)
Percent of Canadian Population
Observed Number
in the Village
Under 5
7.2%
44
5 to 14
13.6%
70
15 to 64
67.1%
300
65 and older
12.1%
41
Use a 5% level of significance to test the claim that the age distribution of the general Canadian population fits the age distribution of the residents of Red Lake Village.
(a) What is the level of significance?

State the null and alternate hypotheses.
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 the same.
H1: The distributions are different.H0: The distributions are different.
H1: The distributions are different.

(b) Find the value of the chi-square statistic for the sample.

Are all the expected frequencies greater than 5?
YesNo

What sampling distribution will use?
Student’s tchi-square    binomialnormaluniform

What are the degrees of freedom?

(c) Estimate the P-value of the sample test statistic.
P-value > 0.1000.050 < P-value < 0.100    0.025 < P-value < 0.0500.010 < P-value < 0.0250.005 < P-value < 0.010P-value < 0.005

(d) Based on the 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 the conclusion in the context of the application.
At the 5% level of significance, the evidence is insufficient to conclude that the village population does not fit the general Canadian population.At the 5% level of significance, the evidence is sufficient to conclude that the village population does not fit the general Canadian population.

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