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a) If a fair co in is flipped 2 t imes, h ow many times would you e xpect it to land o n tails? b) A coin is flipped 2 time s and lands on ta ils both t imes. Is this en ough evide nce to say t he coin is b iase d? Write a sen tenc e to explain your answ er.

Question

a) If a fair co in is flipped 2 t imes, h ow
many times would you e xpect it to
land o n tails?
b) A coin is flipped 2 time s and lands
on ta ils both t imes.
Is this en ough evide nce to say t he
coin is b iase d? Write a sen tenc e to
explain your answ er.

a) If a fair co in is flipped 2 t imes, h ow many times would you e xpect it to land o n tails? b) A coin is flipped 2 time s and lands on ta ils both t imes. Is this en ough evide nce to say t he coin is b iase d? Write a sen tenc e to explain your answ er.

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UlricElite · Tutor for 8 years

Answer

a) Given the expected number of times. You would expect to get ```tails``` after a fair flip of the coin, about \( 1 \) time.<br />b) No, there's not enough evidence. Getting tails twice in a row is not statistically improbable nor dominate evidence to conclude bias with only a sample size of 2. We cannot make any definite conclusions about a bias in the coin flip. Need more data.

Explain

## Step1: <br />Identify the number of possible outcomes. When flipping a coin, there are two possibilities: heads or tails; thus the probability of getting a tails in a single flip is \(\frac{1}{2} \). Therefore, a fair coin being flipped twice would so have this same probability each time.<br /><br />## Step2: <br />Calculating expectation calculation. To calculate the expected number of times an event happens, the probability is multiplied by the number of trials. Here the number of trials is 2 and the probability of each trial is \( \frac{1}{2} \).<br /><br />### Formula used here: \(\text{expectation } = \text{number of trials} \times \text{probability}\)<br /><br />Calculate by substituting probability and number of trials into the formula.<br /><br />## Step3: <br />For part b, Consider the context of the problem. Two experiments cannot provide sufficient evidence to claim that the coin is biased. Probability of flipping tails or heads 2 times in a row on a fair coin appears as \( \frac{1}{4} \), which is not an unlikely event. Bias can be statistically supported only with a larger dataset demonstrating a clearer indication of bias.
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