Question

The marital status distribution of the U.S. male population, age 15 and older, is as shown...

The marital status distribution of the U.S. male population, age 15 and older, is as shown below.

  • What is the test statistic? (Round your answer to two decimal places.)

  • Part (f)

    What is the p-value?

    p-value < 0.001 0.001 < p-value < 0.010     0.010 < p-value < 0.025 0.025 < p-value < 0.050 0.050 < p-value < 0.100 p-value > 0.100



    Explain what the p-value means for this problem.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. 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 less than the calculated value.     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

    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.
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 137
married 240 224.4
widowed 2 10
divorced/separated 21

Homework Answers

Answer #1

applying chi square tesT:

           relative observed Expected Chi square
category frequency(p) Oi Ei=total*p R2i=(Oi-Ei)2/Ei
1 0.313 137 125.20 1.112
2 0.561 240 224.40 1.084
3 0.025 2 10.00 6.400
4 0.101 21 40.40 9.316
total 1.000 400 400 17.9125
test statistic X2 = 17.912

p-value < 0.001

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 greater than the calculated value.

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