Question

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%	50
5 to 14	13.6%	71
15 to 64	67.1%	286
65 and older	12.1%	48

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 different.    

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

H₀: The distributions are the same.
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

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.    

Answer 1

a)
level of significance = 0.05

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

b)

Age	percent of expected numbers	observed numbers	expected numbers	(Oi - Ei)^2/Ei
under 5	7.20%	50	32.76	9.073
5 too 14	13.60%	71	61.88	1.344
15 to 64	67.10%	286	305.305	1.221
65 and older	12.10%	48	55.055	0.904
		455		12.541

test statistic,
chi-square = sum((Oi - Ei)^2/Ei) = 12.541

yes, all frequencies are greater than 5

sampling distribution : chi-square

df = 4 - 1 = 3

c)
p-value = 0.0057
0.005 < P-value < 0.010

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.