Use this scenario to answer questions below.

The Collins Research Crew (CRC) is interested in examining thenumber of vape/smoking stores (i.e. stores that sell vaping andcigarette/cigar smoking products) in low-income neighborhoodscompared to other types of neighborhoods. CRC's research questionis, "Do low-income neighborhoods have more vape/smoke shops thanother types of neighborhoods?" Low-income neighborhoods weredefined as those where the median household income is less than theU.S. federal poverty line. Non-low-income neighborhoods are thosethat the median household income is greater than the U.S. federalpoverty line.

CRC employed a team of undergraduate researchers to go out andcount the number of vape/smoke shops in a random selection oflow-income and non-low-income neighborhoods. They define thepopulation as all neighborhoods in King County.

They found a significant difference in the number of vape/smokeshops across neighborhoods. Specifically, low-income neighborhoodshad a greater number of vape/smoke shops compared to non-low-incomeneighborhoods.

1. Using an independent samples t-test, CRC compared his samplevalues of ____________ against the average of non-low-incomeneighborhoods.

A. Average number of vape/smoke shops in low-incomeneighborhood

B, Average budget for vape/smoke products spent on average perhousehold

C. Likelihood of people vaping/smoking in low-incomeneighborhoods

D. Number of households within each neighborhood

2. Match the variables in the scenario above with theappropriate level of measurement.

Neighborhood type (i.e. Low-Income vs. Non-low-incomeneighborhoods)

      [ Choose ]           Ordinal           Interval/Ratio           Nominal      

Number of vape/smoke shops

      [ Choose ]           Ordinal           Interval/Ratio           Nominal      

3. A one-sample z-test examines the value of the sample averageon some dependent variable (in the scenario above, number ofvape/smoke shops) against the population average of the samevariable.

True OR False