1. An urn contains 2 red and 3 white balls. A ball is drawn, and then it and another ball of the same color are placed back in the urn. Finally, a second ball is drawn. Given that the second ball drawn is white, what is the conditional probability that the first ball drawn was red?

    $\left( {{1}\over{3}}\right)
\left( {{3}\over{5}}\right)
\left/\left[
\lef...
...over{3}}\right)
\left( {{3}\over{5}}\right)
\right]\right.=
{{1}\over{2}}$ $\left( {{1}\over{2}}\right)
\left( {{2}\over{5}}\right)
\left/\left[
\lef...
...over{3}}\right)
\left( {{3}\over{5}}\right)
\right]\right.=
{{1}\over{2}}$ $\left( {{2}\over{3}}\right)
\left( {{3}\over{5}}\right)
\left/\left[
\lef...
...over{3}}\right)
\left( {{3}\over{5}}\right)
\right]\right.=
{{2}\over{3}}$ $\left( {{1}\over{2}}\right)
\left( {{2}\over{5}}\right)
\left/\left[
\lef...
...over{3}}\right)
\left( {{3}\over{5}}\right)
\right]\right.=
{{1}\over{3}}$

  2. Suppose that $P(A) = {{2}\over{5}}$, $P(B) = {{1}\over{5}}$, and that $A$ and $B$ are independent. Then find $P(A\cup B)$.

    $\displaystyle {{2}\over{25}}$ $\displaystyle {{3}\over{5}}$ $\displaystyle {{13}\over{25}}$ $\displaystyle {{17}\over{25}}$

  3. Urn 1 has 5 red balls and 4 white balls, and urn 2 has 3 red balls and 2 white balls. A fair coin is tossed; if it lands heads up, a ball is drawn from urn 1, and otherwise, a ball is drawn from urn 2. Given that a red ball is drawn, what is the conditional probability that the coin landed heads up?

    $\displaystyle {{1}\over{2}}$ $\displaystyle {{27}\over{52}}$ $\displaystyle {{25}\over{52}}$ $\displaystyle {{5}\over{9}}$

  4. An accident-prone person will have an accident with probability $\displaystyle {{1}\over{2}}$, whereas this probability is only $\displaystyle {{1}\over{5}}$ for a non-accident-prone person. Suppose that a new policyholder is accident prone with probability $\displaystyle {{1}\over{5}}$. Given that the new policyholder had an accident, what is the conditinal probability that the policyholder is an accident-prone person?

    $\displaystyle {{1}\over{11}}$ $\displaystyle {{5}\over{13}}$ $\displaystyle {{10}\over{11}}$ $\displaystyle {{8}\over{13}}$

  5. Urn 1 has 2 red balls and 3 white balls, and urn 2 has 5 red balls and 3 white balls. A fair coin is tossed; if it lands heads up, a ball is drawn from urn 1, and otherwise, a ball is drawn from urn 2. What is the probability that a red ball is drawn?

    $\displaystyle {{5}\over{8}}$ $\displaystyle {{2}\over{5}}$ $\displaystyle {{39}\over{80}}$ $\displaystyle {{41}\over{80}}$

  6. An urn contains 2 red and 3 white balls. A ball is drawn, and then it and another ball of the same color are placed back in the urn. Finally, a second ball is drawn. What is the probability that the second ball drawn is white?

    $\left( {{1}\over{3}}\right)
\left( {{2}\over{5}}\right) +
\left( {{1}\over{2}}\right)
\left( {{3}\over{5}}\right) =
{{2}\over{5}}$ $\left( {{1}\over{2}}\right)
\left( {{2}\over{5}}\right) +
\left( {{1}\over{3}}\right)
\left( {{3}\over{5}}\right) =
{{2}\over{5}}$ $\left( {{2}\over{3}}\right)
\left( {{2}\over{5}}\right) +
\left( {{1}\over{2}}\right)
\left( {{3}\over{5}}\right) =
{{17}\over{30}}$ $\left( {{1}\over{2}}\right)
\left( {{2}\over{5}}\right) +
\left( {{2}\over{3}}\right)
\left( {{3}\over{5}}\right) =
{{3}\over{5}}$

  7. An accident-prone person will have an accident with probability $\displaystyle {{3}\over{5}}$, whereas this probability is only $\displaystyle {{3}\over{10}}$ for a non-accident-prone person. Suppose that a new policyholder is accident prone with probability $\displaystyle {{1}\over{5}}$. Then find the probability that a new policyholder will have an accident.

    $\displaystyle {{6}\over{25}}$ $\displaystyle {{9}\over{25}}$ $\displaystyle {{3}\over{25}}$ $\displaystyle {{27}\over{50}}$

  8. Suppose that $P(A) = {{7}\over{10}}$, $P(B) = {{3}\over{5}}$, and that $A$ and $B$ are independent. Then find $P(A^c\cup B^c)$.

    $\displaystyle {{29}\over{50}}$ $\displaystyle {{21}\over{50}}$ $\displaystyle -{{3}\over{10}}$ $\displaystyle {{22}\over{25}}$

  9. A couple has two children. What is the conditional probability that both are girls given that at least one of them is a girl?

    $\displaystyle {{1}\over{3}}$ $\displaystyle {{1}\over{2}}$ $\displaystyle {{1}\over{4}}$ 1

  10. A die is rolled 6 times. If the face numbered $j$ is the outcome on the $j$-th roll, we say “a match has occurred.” You win if at least one match occurs during the 6 trials. Find the probability that you wins.

    $1 - \left(\frac{1}{6}\right)^{ 6}$ $1 - \left(\frac{5}{6}\right)^{ 6}$ $\left(\frac{5}{6}\right)^{ 6}$ $\left(\frac{1}{6}\right)^{ 6}$



Department of Mathematics
Last modified: 2024-12-24