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Ownership of small businesses. According to the Journal of Business Venturing (Vol. 17, 2002), 27% of all small businesses owned by non-Hispanic whites nationwide are women-owned firms. If we select, at random, a small business owned by a non-Hispanic white, what is the probability that it is a male-owned firm?

Short Answer

Expert verified

The probability is 0.73.

Step by step solution

01

Important formula

The formula for the compliment P(AC)=1-P(A).

02

The possible probability

P(AC)=1-P(A)=1-0.27=0.73

Therefore the probability is 0.73.

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Most popular questions from this chapter

3 Paying monthly bills online. Do most people pay their monthly bills online? ABA Bank Marketing and Sales (July-August 2015) reported that 37% of U.S. customers pay their bills online using a personal computer. The table lists the different methods by which customers pay their monthly bills and associated probabilities. Consider the following two events:

A = {Customer does not pay monthly bills online.}

B = {Customer does not pay monthly bills with a credit or debit card.}

Payment Method

Probability

Online via personal

computer

.37

Write check

.22

Checking account

withdrawal

.10

Debit card

.09

Credit card

.07

Cash

.08

Mobile bill account

.04

Online via tablet or e-reader

.03

a. Find P(A).

b. FindP(B).

c. FindPโ€‹(AโˆฉB) .

d. Use the additive law of probability to find Pโ€‹(AโˆชB) .

Study of analysts' forecasts. The Journal of Accounting Research (March 2008) published a study on the relationship between incentives and the degree of optimism among analysts' forecasts. Participants were analysts at either a large or small brokerage firm who made their forecasts early or late in the quarter. Also, some analysts were only concerned with making an accurate forecast, while others were also interested in their relationship with management. Suppose one of these analysts is randomly selected.

Consider the following events:

A = {The analyst is concerned only with making an accurate forecast.}

B = {The analyst makes the forecast early in the quarter.}

C = {The analyst is from a small brokerage firm.}

Describe the following events in terms of unions, intersections, and complements (e.g.,AโˆชB,AโˆฉB,Ac, etc.).

a. The analyst makes an early forecast and is concerned only with accuracy.

b. The analyst is not concerned only with accuracy.

c. The analyst is from a small brokerage firm or makes an early forecast.

d. The analyst makes a late forecast and is not concerned only with accuracy.

Colors of M&M's candies. When first produced in 1940, M&M's Plain Chocolate Candies came in only brown color. Today, M&Ms in standard bags come in six colors: brown, yellow, red, blue, orange, and green. According to Mars Corporation, 24% of all M&Ms produced are blue, 20% are orange, 16% are green, 14% are yellow, 13% are brown, and 13% are red. Suppose you purchase a randomly selected bag of M&M's Plain Chocolate Candies and randomly select one of the M&M's from the bag. The color of the selected M&M is of interest.

a. Identify the outcomes (sample points) of this experiment.

b. Assign reasonable probabilities to the outcomes, part a.

c. What is the probability that the selected M&M is brown (the original color)?

d. In 1960, the colors red, green, and yellow were added to brown M&Ms. What is the probability that the selected M&M is either red, green, or yellow?

e. In 1995, based on voting by American consumers, the color blue was added to the M&M mix. What is the probability that the selected M&M is not blue?

Three fair coins are tossed and either heads(H) or tails(T) are observed for each coin.

  1. List the sample points for the experiment.
  2. Assign probabilities to the sample points.
  3. Determine the probability of observing each of the following events:

A= {Three heads are observed}

B= {Exactly two heads are observed}

C= {At least two heads are observed}

Scrap rate of machine parts. A press produces parts used in the manufacture of large-screen plasma televisions. If the press is correctly adjusted, it produces parts with a scrap rate of 5%. If it is not adjusted correctly, it produces scrap at a 50% rate. From past company records, the machine is known to be correctly adjusted 90% of the time. A quality-control inspector randomly selects one part from those recently produced by the press and discovers it is defective. What is the probability that the machine is incorrectly adjusted?

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