Question

# The age distribution of the Canadian population and the age distribution of a random sample of...

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% 49 5 to 14 13.6% 67 15 to 64 67.1% 292 65 and older 12.1% 47

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 the same. H1: The distributions are different.

H0: The distributions are different. H1: The distributions are different.

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 your answer to three decimal places.)

Are all the expected frequencies greater than 5?

Yes or No

What sampling distribution will you use?

binomial

uniform

normal

chi-square

Student's t

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 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.

a) level of significance =0.05

H0: The distributions are the same. H1: The distributions are different.

b)

applying chi square test:

 relative observed Expected residual Chi square category frequency Oi Ei=total*p R2i=(Oi-Ei)/√Ei R2i=(Oi-Ei)2/Ei under 5 0.072 49 32.76 2.84 8.051 5 to 14 0.136 67 61.88 0.65 0.424 15-64 0.671 292 305.31 -0.76 0.580 65 and older 0.121 47 55.06 -1.09 1.179 total 1.000 455 455 10.233

alue of the chi-square statistic =10.233

Yes

chi square

degrees of freedom=3

c)

0.010 < P-value < 0.025

d)

Since the P-value ≤ α, we reject the null hypothesis

e) 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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