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
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. IfH0
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. IfH0
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. IfH0
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 |
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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