In: Statistics and Probability
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, 12% were in the 20- to 35-year-old bracket, 34% were between 36 and 50, 24% were between 51 and 65, and 10% 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 | 29 | 66 | 67 | 19 |
(i) Give the value of the level of significance.
State the null and alternate hypotheses.
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: Time ten years ago and
today are independent.
H1: Time ten years ago and today 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.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.
(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 > 0.1000.050 < P-value < 0.100 0.025 < P-value < 0.0500.010 < P-value < 0.0250.005 < P-value < 0.010P-value < 0.005
(iv) Conclude the test.
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 do not reject the null hypothesis.
Since the P-value ≥ α, we do not 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.
(i)
Level of significance = = 0.01
Correct option:
H0: The distributions for population 10 years ago and the population today are the same.
H1: The distribution forpopulation 10 years ago and the population today are different.
(ii)
Observed frequencies:
Under 20 | 20-35 | 36-50 | 51-65 | Over 65 | Total |
29 | 29 | 66 | 67 | 19 | 210 |
Expected Frequencies:
Under 20 | 20-35 | 36-50 | 51-65 | Over 65 | Total |
210X20/100=42 | 210X12/100=25.2 | 210X34/100=71.4 | 210X24/100=50.4 | 210X10/100=21 | 210 |
O E (O - E)2/E
29 42 4.02
29 25.2 0.57
66 71.4 0.41
67 50.4 5.47
19 21 0.19
-----------------------------------------------
= 10.66
(iii)
= 10.66
ndf = 5- 1 = 4
From Technology, p-value = 0.0307
So,
Correct option:
0.025 < P-value < 0.050
(iv)
Since P-value = 0.0307 is greater than = 0.01, Fail to reject null hypothesis.
Correct option:
Since the P-value , we do not rejct the null hypothesis.
(v)
Correct option:
At the 1% level of significance, thereis insufficient evidence to claim that the age distribution of the population of Blue Valley haschanged.