Suppose the age distribution of the Canadian population and the age distribution of a random sample of 433 residents in the Indian community of Red Lake are shown below. Observed Number Age (years)...

Suppose the age distribution of the Canadian population and the age distribution of a random sample of 433 residents in the Indian community of Red Lake are shown below.

Use 0.05 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. Will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories?

Extracted text: Suppose the age distribution of the Canadian population and the age distribution of a random sample of 433 residents in the Indian community of Red Lake are shown below. Observed Number Age (years) Percent of Canadian Population in Red Lake Village Under 5 8.8% 44 5 to 14 13.5% 48 15 to 64 64.4% 301 65 and older 13.3% 40 Use a = 0.05 to test the claim that the age distribution of the general Canadian population fits the age distribution of the residents of Red Lake Village. Will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories? Since the P-Value is greater than a, we reject the null hypothesis that the variables are independent in favor of the alternate hypothesis that the variables are not independent. Since the P-Value is greater than a, we fail to reject the null hypothesis that the variables are independent in favor of the alternate hypothesis that the variables are not independent. Since the P-Value is less than a, we reject the null hypothesis that the variables are not independent in favor of the alternate hypothesis that the variables are independent. Since the P-Value is less than a, we reject the null hypothesis that the variables are independent in favor of the alternate hypothesis that the variables are not independent. Since the P-Value is greater than a, we reject the null hypothesis that the variables are not independent in favor of the alternate hypothesis that the variables are independent.