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. Observed Number Age (years) Percent of Canadian Population in the Village Under 5 7.2% 42 5 to 14 13.6% 78 15 to 64 67.1% 288 65 and older 12.1% 47 LAUSE SALT 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. O Ho: The distributions are different. H₁: The distributions are different. O Ho: The distributions are the same. H₁: The distributions are the same. OH: The distributions are the same. H₁: The distributions are different. O Ho: 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? O Yes O No What sampling distribution will you use? O normal O chi-square O uniform O Student's t O binomial What are the degrees of freedom? (c) Estimate the P-value of the sample test statistic. OP-value> 0.100 O 0.050 < P-value < 0.100 O 0.025 < P-value < 0.050 O 0.010 < P-value < 0.025 O 0.005 < P-value < 0.010 O 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? O Since the P-value > a, we fail to reject the null hypothesis. O Since the P-value > a, we reject the null hypothesis. O Since the P-value ≤ a, we reject the null hypothesis. O Since the P-value ≤ a, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. O At the 5% level of significance, the evidence is insufficient to conclude that the village population does not fit the general Canadian population. O 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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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.
Observed Number
Percent of Canadian Population
in the Village
Age (years)
Under 5
7.2%
42
5 to 14
13.6%
78
15 to 64
67.1%
288
65 and older
12.1%
47
LAUSE SALT
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.
O Ho: The distributions are different.
H₁: The distributions are different.
O Ho: The distributions are the same.
H₁: The distributions are the same.
OH: The distributions are the same.
H₁: The distributions are different.
O Ho: 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?
O Yes
O No
What sampling distribution will you use?
O normal
O chi-square
O uniform
O Student's t
O binomial
What are the degrees of freedom?
(c) Estimate the P-value of the sample test statistic.
OP-value > 0.100
O 0.050 < P-value < 0.100
O 0.025 < P-value < 0.050
O 0.010 < P-value < 0.025
O 0.005 < P-value < 0.010
OP-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?
O Since the P-value > «, we fail to reject the null hypothesis.
O Since the P-value > a, we reject the null hypothesis.
O Since the P-value sa, we reject the null hypothesis.
O Since the P-value sa, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the application.
O At the 5% level of significance, the evidence is insufficient to conclude that the village population does not fit the general Canadian population.
O At the 5% level of significance, the evidence is sufficient to conclude that the village population does not fit the general Canadian population.
Transcribed Image Text: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. Observed Number Percent of Canadian Population in the Village Age (years) Under 5 7.2% 42 5 to 14 13.6% 78 15 to 64 67.1% 288 65 and older 12.1% 47 LAUSE SALT 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. O Ho: The distributions are different. H₁: The distributions are different. O Ho: The distributions are the same. H₁: The distributions are the same. OH: The distributions are the same. H₁: The distributions are different. O Ho: 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? O Yes O No What sampling distribution will you use? O normal O chi-square O uniform O Student's t O binomial What are the degrees of freedom? (c) Estimate the P-value of the sample test statistic. OP-value > 0.100 O 0.050 < P-value < 0.100 O 0.025 < P-value < 0.050 O 0.010 < P-value < 0.025 O 0.005 < P-value < 0.010 OP-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? O Since the P-value > «, we fail to reject the null hypothesis. O Since the P-value > a, we reject the null hypothesis. O Since the P-value sa, we reject the null hypothesis. O Since the P-value sa, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. O At the 5% level of significance, the evidence is insufficient to conclude that the village population does not fit the general Canadian population. O 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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