Your city counsel is interested in the income distribution of its constituents i

Question

Your city counsel is interested in the income distribution of its constituents in an attempt to propose a tax bill to build a new elementary school. A sample of households in your community is selected at random from the telephone directory. In your community, however, around 4% of the households do not own a telephone and another 35% of the households have numbers that are unlisted. What type of bias is most likely to occur in this study? Your city counsel is interested in the income distribution of its constituents in an attempt to propose a tax bill to build a new elementary school. A sample of households in your community is selected at random from the telephone directory. In your community, however, around 4% of the households do not own a telephone and another 35% of the households have numbers that are unlisted. What type of bias is most likely to occur in this study? Your city counsel is interested in the income distribution of its constituents in an attempt to propose a tax bill to build a new elementary school. A sample of households in your community is selected at random from the telephone directory. In your community, however, around 4% of the households do not own a telephone and another 35% of the households have numbers that are unlisted. What type of bias is most likely to occur in this study? Your city counsel is interested in the income distribution of its constituents in an attempt to propose a tax bill to build a new elementary school. A sample of households in your community is selected at random from the telephone directory. In your community, however, around 4% of the households do not own a telephone and another 35% of the households have numbers that are unlisted. What type of bias is most likely to occur in this study?

a. undercoverage

b. nonresponse

c false responses

d. a & B ( this is wrong)

e. B and C

Explanation / Answer

Answer is under coverage.

Since 4% of the households do not own a telephone and another 35% of households have that are unlisted, therefore, it may lead to selection bias as 39% of the population in the community may loose the probability to be selected in the study. Since, all the members may not have an equal chance of being selected, which results into the under coverage.   

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