Without looking, Amelia took 27 coins out of a jar of equal-valued coins. Is this sample of the coins in the jar likely to be biased? Choices: (A)yes (B)no

Understand the problem: Step 1: Understand the problem. Amelia took 27 coins from a jar without looking. We need to determine if this method of selecting coins introduces any bias in the sample.Analyze the method: Step 2: Analyze the method of selection. Since Amelia did not look while taking the coins, each coin in the jar had an equal chance of being selected. This method is random.Conclude if biased: Step 3: Conclude if the sample is biased. Random selection reduces the chance of bias in the sample. Therefore, the sample of coins is likely not biased.

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Without looking, Amelia took $27$ coins out of a jar of equal-valued coins. $\newline$ Is this sample of the coins in the jar likely to be biased? $\newline$ Choices: $\newline$ (A)yes $\newline$ (B)no

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Math Problems

Algebra 1

Identify biased samples

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Q. Without looking, Amelia took

27

coins out of a jar of equal-valued coins.

\newline

Is this sample of the coins in the jar likely to be biased?

\newline

Choices:

\newline

(A)yes

\newline

(B)no

Understand the problem: Step $1$ : Understand the problem. $\newline$ Amelia took $27$ coins from a jar without looking. We need to determine if this method of selecting coins introduces any bias in the sample.
Analyze the method: Step $2$ : Analyze the method of selection. $\newline$ Since Amelia did not look while taking the coins, each coin in the jar had an equal chance of being selected. This method is random.
Conclude if biased: Step $3$ : Conclude if the sample is biased. Random selection reduces the chance of bias in the sample. Therefore, the sample of coins is likely not biased.