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b) Based on your answer to part (a)which of the following is the most reasonable conclusion to draw about this sampling approach? Because of which groups are disproportionately represented, this approach will tend to underestimate the number of people living in a household Because of which groups are disproportionately represented, this approach will tend to overestimate the number of people living in a household Because this sample is random this approach will provide a good measure of the number of people living in a household

Question

b) Based on your answer to part (a)which of the following is the most reasonable conclusion to draw about this sampling approach? Because of which groups are disproportionately represented, this approach will tend to underestimate the number of people living in a household Because of which groups are disproportionately represented, this approach will tend to overestimate the number of people living in a household Because this sample is random this approach will provide a good measure of the number of people living in a household

b) Based on your answer to part (a)which of the following is the most reasonable conclusion to draw
about this sampling approach?
Because of which groups are disproportionately represented, this approach will tend to
underestimate the number of people living in a household
Because of which groups are disproportionately represented, this approach will tend to overestimate
the number of people living in a household
Because this sample is random this approach will provide a good measure of the number of people
living in a household

Solution

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DahliaMaster · Tutor for 5 years

Answer

### Because of which groups are disproportionately represented, this approach will tend to overestimate the number of people living in a household

Explain

## Step 1: Identifying the Sampling Bias<br />### The sampling method targets households with listed phone numbers. This excludes households without phones or those who only use cell phones and haven't listed them. These excluded groups might have different average household sizes compared to those with listed landlines. Specifically, lower-income households might be less likely to have landlines, and they might also have different family structures or household sizes.<br /><br />## Step 2: Analyzing the Impact of the Bias<br />### Since the sample excludes certain groups (potentially those with lower incomes and different household sizes), it's likely that the survey will overestimate the average household size. The sample is skewed towards households with landlines, which might correlate with higher income and potentially larger household sizes.
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