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Chapter 5: Q 1.2. Intercepts; Symmetry; Graphing Key Equations (page 314)

Find P(E|L) and P(L|E) Which of these conditional probabilities tells you whether this college’s EPS students tend to earn lower grades than students in liberal arts and social sciences? Explain.

Short Answer

Expert verified

The probability are 0.219 and 0.50

Step by step solution

01

Step 1. Given Information

The table is:

02

Step 2. Concept Used

Formula used: Probability=NumberoffavorableoutcomesTotalpossibleoutcomes

03

Step 3. Calculation

P(E|L) and P(L|E)

are calculated as:

P(E|L)=8002268+800+588=0.219

P(F|L)=800368+432+800=0.50

The probabilities necessary are 0.219and 0.50, respectively. It is necessary to compare these two estimated probabilities in order to arrive at a conclusion.

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Most popular questions from this chapter

Nickels falling over You may feel it’s obvious that the probability of a head tossing a coin is about12because the coin has two faces. Such opinions are not always correct. Stand a nickel on the edge on a hard, flat surface. Pound the surface with your hand so that the nickel falls over. Do this 25time, and record the results.

(a) What’s your estimate for the probability that the

coin falls heads up? Why?

(b) Explain how you could get an even better estimate.

Keep on tossing The figure below shows the results of two different sets of 5000coin tosses. Explain what this graph says about chance behavior in the short run and the long run.

Explain why P(AorB)P(A)+P(B). Then use the general addition rule to findP(AorB).

Tall people and basketball players Select an adult at random. Define events T: a person is over 6 feet tall, and B: a person is a professional basketball player. Rank the following probabilities from smallest to largest. Justify your answer.

P(T)P(B)P(T|B)P(B|T)

Liar, liar! Sometimes police use a lie detector (also known as a polygraph) to help determine whether a suspect is telling the truth. A lie detector test isn’t foolproof—sometimes it suggests that a person is lying when they’re actually telling the truth (a “false positive”). Other times, the test says that the suspect is being truthful when the person is actually lying (a “false negative”). For one brand of polygraph machine, the probability of a false positive is 0.08.
(a) Interpret this probability as a long-run relative frequency.
(b) Which is a more serious error in this case: a false positive or a false negative? Justify your answer.

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