In: Statistics and Probability
Suppose Jamal is studying poverty in his economics class, and he wants to compare the proportion of individuals living below the poverty line in the western United States in different years. He collects data on a simple random sample of people from 2013 and a simple random sample of people from 2014. His data are summarized in the table.
Population | Population description |
Sample size |
Number of successes |
Proportion of sucesses |
---|---|---|---|---|
1 | population in 2013 | n1=486 | X1=74 | ^p1=0.15226 |
2 | population in 2014 | n2=490 | X2=69 | ^p2=0.14082 |
Jamal wants to run a two-sample z‑test for the difference of two proportions to test the alternative hypothesis, H1:p1>p2, against the null hypothesis, H0:p1=p2, where p1 is the proportion of population in 2013 that are living below the poverty line, and p2 is the proportion of population in 2014 that are living below the poverty line. Jamal selects a significance level of α=0.10.
Compute the z‑statistic and P-value for Jamal’s z‑test for the difference of two proportions, p1−p2. Give your answers precise to three decimal places.
Based on your answers and a significance level of α=0.10, complete the following sentences to state the decision and conclusion of Jamal’s test.
Source: adapted from DeNavas-Walt, Carmen and Bernadette D. Proctor. Income and Poverty in the United States: 2014. Table 3. People in Poverty by Selected Characteristics: 2013 and 2014 [Online]; U.S. Census Bureau, Current Population Reports: U.S. Government Printing Office, Washington, DC, 2015; P60-252. https://www.census.gov/content/dam/Census/library/publications/2015/demo/p60-252.pdf (accessed September 11, 2016).
Jamal decides
the
hypothesis. The conclusion is that
the proportion of the 2013 population
living in poverty
the proportion of the 2014 population living in
poverty, because
.
Answer Bank
compared to
is the same as
that no decision can be made about
no conclusion can be drawn about
alternative
null
the test requirements have not been met
there is sufficient evidence that
to reject
to fail to reject
there is insufficient evidence that
is higher than
the difference is statistically significant (P<0.10)
is different than
the difference is not statistically significant (P>0.10)
is less than
accept