In the dark, Stanley picked out 5 shirts from his closet. Is this sample of the shirts in the closet likely to be biased? Choices: (A)yes (B)no

Understand Bias in Sampling: Understand the concept of bias in sampling. Bias in sampling occurs when the method of selecting a sample causes it to be unrepresentative of the total population. Since Stanley picked shirts in the dark, he couldn't see their colors, styles, or any other distinguishing features. Analyze Selection Method: Analyze the method of selection. Picking shirts without seeing them eliminates personal preference or selection based on visible characteristics. This method does not favor any particular attribute of the shirts. Conclude Sample Bias: Conclude if the sample is likely to be biased. Since the selection was random due to the lack of visual input, the sample is less likely to be biased. It should fairly represent all types of shirts in the closet, assuming all types are equally reachable.

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In the dark, Stanley picked out $5$ shirts from his closet. $\newline$ Is this sample of the shirts in the closet likely to be biased? $\newline$ Choices: $\newline$ (A) yes $\newline$ (B) no

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Precalculus

Identify biased samples

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Q. In the dark, Stanley picked out

5

shirts from his closet.

\newline

Is this sample of the shirts in the closet likely to be biased?

\newline

Choices:

\newline

(A) yes

\newline

(B) no

Understand Bias in Sampling: Understand the concept of bias in sampling. $\newline$ Bias in sampling occurs when the method of selecting a sample causes it to be unrepresentative of the total population. Since Stanley picked shirts in the dark, he couldn't see their colors, styles, or any other distinguishing features.
Analyze Selection Method: Analyze the method of selection. $\newline$ Picking shirts without seeing them eliminates personal preference or selection based on visible characteristics. This method does not favor any particular attribute of the shirts.
Conclude Sample Bias: Conclude if the sample is likely to be biased. $\newline$ Since the selection was random due to the lack of visual input, the sample is less likely to be biased. It should fairly represent all types of shirts in the closet, assuming all types are equally reachable.