A sociologist is studying the age of the population in Blue Valley. Ten years ago, the population was such that 20% were under 20 years old, 10% were in the 20- to 35-year-old bracket, 32% were between 36 and 50, 24% were between 51 and 65, and 14% were over 65. A study done this year used a random sample of 210 residents. This sample is given below. At the 0.01 level of significance, has the age distribution of the population of Blue Valley changed?
Under 20 | 20 - 35 | 36 - 50 | 51 - 65 | Over 65 |
---|---|---|---|---|
29 | 26 | 65 | 66 | 24 |
(i) Give the value of the level of significance.
0.01
State the null and alternate hypotheses.
H0: Time ten years ago and today are independent. & H1: Time ten years ago and today are not independent.
H0: The population 10 years ago and the population today are independent. & H1: The population 10 years ago and the population today are not independent.
H0: Ages under 20 years old, 20- to 35-year-old, between 36 and 50, between 51 and 65, and over 65 are independent. & H1: Ages under 20 years old, 20- to 35-year-old, between 36 and 50, between 51 and 65, and over 65 are not independent.
H0: The distributions for the population 10 years ago and the population today are the same. & H1: The distributions for the population 10 years ago and the population today are different.
(ii) Find the sample test statistic. (Round your answer to two
decimal places.)
_____
(iii) Find or 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
(iv) Conclude the test.
Since the P-value < α, we do not reject the null hypothesis.
Since the P-value < α, we reject the null hypothesis.
Since the P-value ≥ α, we do not reject the null hypothesis.
Since the P-value ≥ α, we reject the null hypothesis.
(v) Interpret the conclusion in the context of the application.
At the 1% level of significance, there is insufficient evidence to claim that the age distribution of the population of Blue Valley has changed.
At the 1% level of significance, there is sufficient evidence to claim that the age distribution of the population of Blue Valley has changed.
The statistical software output for this problem is :
(i)
H0: The distributions for the population 10 years ago and the population today are the same. & H1: The distributions for the population 10 years ago and the population today are different.
(ii)
sample test statistic = 11.11
(iii)
0.010 < P-value < 0.025
(iv)
Since the P-value ≥ α, we do not reject the null hypothesis.
(v)
At the 1% level of significance, there is insufficient evidence to claim that the age distribution of the population of Blue Valley has changed.
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