Question

Increasing the sample size of an opinion poll will (a) reduce the bias of the poll result. (b) reduce the variability of the poll result. (c) reduce the effect of nonresponse on the poll. (d) reduce the variability of opinions. (e) all of the above.

Name: Problem 24, Chapter 7: The Practice of Statistics for AP
Uploaded: 2020-11-22T01:18:25-08:00
Duration: 1 min 15 s
Channel: Bryan Meares
Description: Increasing the sample size of an opinion poll will (a) reduce the bias of the poll result. (b) reduce the variability of the poll result. (c) reduce the effect of nonresponse on the poll. (d) reduce the variability of opinions. (e) all of the above.

   Increasing the sample size of an opinion poll will
(a) reduce the bias of the poll result.
(b) reduce the variability of the poll result.
(c) reduce the effect of nonresponse on the poll.
(d) reduce the variability of opinions.
(e) all of the above.

The Practice of Statistics for AP

Daren S. Starnes,… 4th Edition

Chapter 7, Problem 24

Instant Answer

Solved by Expert Bryan Meares

11/22/2020

Step 1

(a) Reducing the bias of the poll result means making the poll more fair or impartial. However, because this is an opinion poll and there's no randomization, there's going to be bias. Increasing the sample size is not going to reduce the bias. (b) Reducing the Show more…

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Increasing the sample size of an opinion poll will (a) reduce the bias of the poll result. (b) reduce the variability of the poll result. (c) reduce the effect of nonresponse on the poll. (d) reduce the variability of opinions. (e) all of the above.

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Key Concepts

Sample Size

Sample size refers to the number of individual observations or responses collected in a study or poll. Increasing the sample size generally improves the precision of estimates by decreasing the random error associated with sampling, but it does not inherently address issues such as systematic bias or nonresponse problems.

Sampling Variability

Sampling variability is the degree to which survey results would vary if different random samples were taken from the same population. Larger samples typically reduce this variability, leading to more consistent and reliable estimates of population parameters.

Bias

Bias refers to systematic errors that skew the results of a survey away from the true value. Factors like poor sampling methods or nonresponse can introduce bias, and merely increasing the sample size does not eliminate such biases since they are not random errors.

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