A sociologist is studying the age of the population in Blue Valley. Ten years ago, the population was such that 19% were under 20 years old, 14% were in the 20- to 35-year-old bracket, 34% were between 36 and 50, 24% were between 51 and 65, and 9% 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 28 25 68 66 23 (i) Find the sample test statistic. (Round your answer to two decimal places.)(ii) Find or estimate the P-value of the sample test statistic. P-value > 0.1000.050 < P-value < 0.100    0.025 < P-value < 0.0500.010 < P-value < 0.0250.005 < P-value < 0.010P-value < 0.005 (iii) Conclude the test. Since the P-value ≥ α, we do not 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.Since the P-value < α, we reject the null hypothesis. (iv) 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.

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A sociologist is studying the age of the population in Blue Valley. Ten years ago, the population was such that 19% were under 20 years old, 14% were in the 20- to 35-year-old bracket, 34% were between 36 and 50, 24% were between 51 and 65, and 9% 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
28 25 68 66 23

(i) Find the sample test statistic. (Round your answer to two decimal places.)


(ii) Find or estimate the P-value of the sample test statistic.
P-value > 0.1000.050 < P-value < 0.100    0.025 < P-value < 0.0500.010 < P-value < 0.0250.005 < P-value < 0.010P-value < 0.005

(iii) Conclude the test.
Since the P-value ≥ α, we do not 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.Since the P-value < α, we reject the null hypothesis.

(iv) 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.
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