In: Statistics and Probability
The marital status distribution of the U.S. male population, age 15 and older, is as shown below.
Marital Status | Percent |
---|---|
never married | 31.3 |
married | 56.1 |
widowed | 2.5 |
divorced/separated | 10.1 |
Suppose that a random sample of 400 U.S. young adult males, 18 to 24 years old, yielded the following frequency distribution. We are interested in whether this age group of males fits the distribution of the U.S. adult population at the 5% level. Calculate the frequency one would expect when surveying 400 people. Fill in the table below, rounding to two decimal places.
Marital Status | Frequency | Expected Frequency |
---|---|---|
never married | 136 | |
married | 240 | |
widowed | 2 | |
divorced/separated | 22 |
Part (a)
State the null hypothesis. Choose 1 or 2
1. The data do not fit the distribution of marital status for the U.S. adult population.
2. The data fit the distribution of marital status for the U.S. adult population.
State the alternative hypothesis. Choose 1 or 2
1. The data do not fit the distribution of marital status for the U.S. adult population.
2. The data fit the distribution of marital status for the U.S. adult population.
Part (b)
What are the degrees of freedom? (Enter an exact number as an integer, fraction, or decimal.)
_______________
Part (c)
State the distribution to use for the test. Choose 1 2 3 4
1. ?24
2. t4
3. ?23
4. t3
Part (d)
What is the test statistic? (Round your answer to two decimal places.)
__________
What is the p-value? (Round your answer to four decimal
places.)
____________
Explain what the p-value means for this problem.
CHoose 1 2 3 or 4
1. If H0 is false, then there is a chance equal to the p-value that the value of the test statistic will be equal to or greater than the calculated value.
2. If H0 is true, then there is a chance equal to the p-value that the value of the test statistic will be equal to or less than the calculated value. If
3. H0 is true, then there is a chance equal to the p-value that the value of the test statistic will be equal to or greater than the calculated value.If
4. H0 is false, then there is a chance equal to the p-value that the value of the test statistic will be equal to or less than the calculated value.
part (e)
Indicate the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write the appropriate conclusion.
(ii) Decision: Choose 1or 2
1. reject the null hypothesis
2. do not reject the null hypothesis
(iii) Reason for decision: Choose 1 2 3 4
Since ? < p-value, we do not reject the null hypothesis.
Since ? > p-value, we do not reject the null hypothesis.
Since ? > p-value, we reject the null hypothesis.
Since ? < p-value, we reject the null hypothesis.
(iv) Conclusion: Choose 1 or 2
1. There is sufficient evidence to conclude that the data do not fit the distribution of marital status for the U.S. adult population.
2. There is not sufficient evidence to conclude that the data do not fit the distribution of marital status for the U.S. adult population.
applying chi square goodness of fit test:
observed | Expected | Chi square | |||
category | Probability(p) | Oi | Ei=total*p | R2i=(Oi-Ei)2/Ei | |
never married | 0.313 | 136.000 | 125.20 | 0.932 | |
married | 0.561 | 240.000 | 224.40 | 1.084 | |
widowed | 0.025 | 2.000 | 10.00 | 6.400 | |
divorced | 0.101 | 22.000 | 40.40 | 8.380 | |
total | 1 | 400 | 400 | 16.796 |
observed | Expected | Chi square | |||
category | Probability(p) | Oi | Ei=total*p | R2i=(Oi-Ei)2/Ei | |
never married | 0.313 | 136.000 | 125.20 | 0.932 | |
married | 0.561 | 240.000 | 224.40 | 1.084 | |
widowed | 0.025 | 2.000 | 10.00 | 6.400 | |
divorced | 0.101 | 22.000 | 40.40 | 8.380 | |
total | 1 | 400 | 400 | 16.796 |
expected frequency is given on above table:
a)
null hypothesis: 2. The data fit the distribution of marital status for the U.S. adult population.
alternative hypothesis:1. The data do not fit the distribution of marital status for the U.S. adult population.
b)
degrees of freedom =categoies-1=4-1=3
c) 3\
d) test statistic =16.80
p value =0.0008
Explain what the p-value means for this problem. :
3. H0 is true, then there is a chance equal to the p-value that the value of the test statistic will be equal to or greater than the calculated value.
ii)Decision: 1. reject the null hypothesis
iii)Since alpha > p-value, we reject the null hypothesis
iv)
1. There is sufficient evidence to conclude that the data do not fit the distribution of marital status for the U.S. adult population.