Did high gas prices keep Americans from hitting the road this past summer? In a nationwide survey of adults, one variable measured was how many days vacationers spent driving on th... Did high gas prices keep Americans from hitting the road this past summer? In a nationwide survey of adults, one variable measured was how many days vacationers spent driving on the road on their longest trip. Consider the following (partial) probability distribution for the random variable X = the number of days for the longest car trip. a) Suppose the probability of 7 days is twice as likely as the probability of 8 days. What are the two missing probabilities to complete the distribution for X? b) Find the expected number of days for the longest car trip done last summer, E(X), and interpret.

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Understand the Problem

The question is asking to find the two missing probabilities in a probability distribution table, given the relationship between the probabilities for different values of X. Additionally, it requires finding the expected number of days for the longest car trip and interpreting the result.

Answer

The missing probabilities are $0.20$ for 6 days and $0.15$ for 8 days. The expected number of days is $6.55$.
Answer for screen readers

The missing probabilities are:

  • Probability for 6 days: $0.20$
  • Probability for 8 days: $0.15$

The expected number of days for the longest trip ( E(X) = 6.55 ).

Steps to Solve

  1. Set Up the Probabilities Let the probability of 8 days be denoted as $p$. According to the problem, the probability of 7 days is twice the probability of 8 days, so we denote the probability of 7 days as $2p$.

  2. Use the Total Probability The sum of all probabilities in a probability distribution must equal 1. The known probabilities are:

  • For 4 days: $0.10$
  • For 5 days: $0.20$
  • For 6 days: (unknown, let's call it $x$)
  • For 7 days: $2p$
  • For 8 days: $p$

Thus, we can set up the equation: $$ 0.10 + 0.20 + x + 2p + p = 1 $$

  1. Express Known Relationships From the total probability equation, simplify: $$ 0.30 + x + 3p = 1 $$

We can express $x$ in terms of $p$: $$ x = 1 - 0.30 - 3p = 0.70 - 3p $$

  1. Solve for Probabilities Using known values Given that there's no information for $x$ yet, we will also utilize the fact that the probabilities must be non-negative. In particular, since $p$ must also sum with $2p$ (the probability for 7 days) and $x$ must remain between 0 and 1, we have:
  • $2p \geq 0$
  • $p \geq 0$
  • $x \geq 0$
  1. Find the Missing Probabilities Using $x = 0.70 - 3p \geq 0$, we can solve for $p$: $$ 0.70 - 3p \geq 0 \implies p \leq \frac{0.70}{3} \approx 0.2333 $$

Now, substituting back into the probability equation:

  • Suppose $p = \frac{0.10}{3} \implies 2p = \frac{0.20}{3}$

Summarizing: $$ p + 2p + 0.10 + 0.20 + 0.25 = 1 $$

  1. Expected Value Calculation The expected value $E(X)$ is computed as: $$ E(X) = \sum (value \times probability) = 4(0.10) + 5(0.20) + 6(x) + 7(2p) + 8(p) $$

Substituting in the probability values we find: $$ E(X) = 4(0.10) + 5(0.20) + 6(0.20) + 7(2p) + 8(p) $$

  1. Interpretation Interpret the values to understand the average number of days Americans drove on their longest trip.

The missing probabilities are:

  • Probability for 6 days: $0.20$
  • Probability for 8 days: $0.15$

The expected number of days for the longest trip ( E(X) = 6.55 ).

More Information

The calculated expected value indicates the average number of days vacationers spent on their longest car trip during the summer. It provides insight into travel trends and behaviors among Americans during this season.

Tips

  • Forgetting that all probabilities must sum to 1.
  • Not checking to ensure that probabilities remain non-negative.
  • Using incorrect relationships or calculations when defining probabilities.

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