Question

question 1 1 pts to estimate average wingspan of a certain species of bird, wildlife researchers sample a number of birds. based on your understanding of the concepts and ideas from our coverage of chapters 3 and 4, which one of the following statements is correct? if the sample size is increased, this will reduce both bias and variability. if repeating the sampling method yields samples that give very different results, we say the sampling method has large bias. as long as the researchers are sampling from a large population, we can be confident the margin of error will be small. if some birds in the sample have their wingspans measured incorrectly, we have undercoverage. none of the above statements are correct.

Explanation:

1. Increasing sample size reduces variability but not bias. Bias is related to sampling method flaws, not sample size.
2. Different results from repeated sampling indicate high variability, not large bias. Bias is systematic error, variability is random differences.
3. Sampling from a large population doesn't guarantee small margin of error. Margin of error also depends on sample size and sampling method.
4. Incorrect measurements are measurement error, not under - coverage. Under - coverage is when parts of the population are left out of the sample.

Answer:

None of the above statements are correct