13.5. Repeated water samples. A nonprofit wants to understand the fraction of households that have elevated levels of lead in their drinking water. They expect at least 5% of homes will have elevated levels of lead, but not more than about 30%. They randomly sample 800 homes and work with the owners to retrieve water samples, and they compute the fraction of these homes with elevated lead levels. They repeat this 1,000 times and build a distribution of sample proportions. a. What is this distribution called? b. Would you expect the shape of this distribution to be symmetric, right skewed, or left skewed? Explain your reasoning. c. What is the name of the variability of this distribution. d. Suppose the rescarchers' budget is reduced, and they are only able to colleet 250 observa- tions per sample, but they can still collect 1,000 samples. They build a new distribution of sample proportions. How will the variability of this new distribution compare to the variability of the distribution when each sample contained 800 observations?

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13.5. Repeated water samples. A nonprofit wants to understand the fraction of households that
have elevated levels of lead in their drinking water. They expect at least 5% of homes will
have elevated levels of lead, but not more than about 30%. They randomly sample 800 homes
and work with the owners to retrieve water samples, and they compute the fraction of these
homes with elevated lead levels. They repeat this 1,000 times and build a distribution of sample
proportions.
a. What is this distribution called?
b. Would you expect the shape of this distribution to be symmetric, right skewed, or left
skewed? Explain your reasoning.
c. What is the name of the variability of this distribution.
d. Suppose the rescarchers' budget is reduced, and they are only able to colleet 250 observa-
tions per sample, but they can still collect 1,000 samples. They build a new distribution
of sample proportions. How will the variability of this new distribution compare to the
variability of the distribution when each sample contained 800 observations?
Transcribed Image Text:13.5. Repeated water samples. A nonprofit wants to understand the fraction of households that have elevated levels of lead in their drinking water. They expect at least 5% of homes will have elevated levels of lead, but not more than about 30%. They randomly sample 800 homes and work with the owners to retrieve water samples, and they compute the fraction of these homes with elevated lead levels. They repeat this 1,000 times and build a distribution of sample proportions. a. What is this distribution called? b. Would you expect the shape of this distribution to be symmetric, right skewed, or left skewed? Explain your reasoning. c. What is the name of the variability of this distribution. d. Suppose the rescarchers' budget is reduced, and they are only able to colleet 250 observa- tions per sample, but they can still collect 1,000 samples. They build a new distribution of sample proportions. How will the variability of this new distribution compare to the variability of the distribution when each sample contained 800 observations?
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