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"N.Y. Lottery Numbers Come Up \(9-1-1\) on \(9 / 11\) " was the headline of an article that appeared in the San Francisco Chronicle (September 13,2002 ). More than 5,600 people had selected the sequence \(9-1-1\) on that date, many more than is typical for that sequence. A professor at the University of Buffalo was quoted as saying, "I'm a bit surprised, but I wouldn't characterize it as bizarre. It's randomness. Every number has the same chance of coming up. People tend to read into these things. I'm sure that whatever numbers come up tonight, they will have some special meaning to someone, somewhere." The New York state lottery uses balls numbered \(0-9\) circulating in three separate bins. One ball is chosen at random from each bin. What is the probability that the sequence \(9-1-1\) would be selected on any particular day?

Short Answer

Expert verified
The probability that the sequence \(9-1-1\) would be selected on any particular day is 0.001.

Step by step solution

01

Find the Probability of Drawing Each Number

Since each bin contains 10 balls (numbered 0-9), the probability of drawing a specific number from a single bin is \(\frac{1}{10}\) or 0.1.
02

Find the Probability of Drawing the Sequence \(9-1-1\)

As each draw is independent, the probability of drawing the sequence \(9-1-1\) would be the product of the probabilities of drawing a \(9\), then a \(1\), then another \(1\). Therefore, the probability is \(0.1 \times 0.1 \times 0.1 = 0.001\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Independent Events
Understanding the concept of independent events is crucial when dealing with probability. In probability theory, two events are said to be independent if the occurrence of one event does not affect the probability of the occurrence of the other. This means that the outcome of one event has no bearing on the outcome of the second event.

For instance, consider rolling a die and flipping a coin. The result of the die roll does not influence whether the coin will land on heads or tails—they are independent events. Similarly, in the lottery example, the selection of each number is an independent event. The chance of drawing a '9' from the first bin is not impacted by the draw in the second or third bin.

This property allows us to calculate the combined probability of multiple independent events occurring by multiplying their individual probabilities. So, the probability of our desired sequence '9-1-1' happening is simply the product of the probabilities of each number being drawn independently, resulting in \(0.1 \times 0.1 \times 0.1 = 0.001\).
Probability Theory
At the heart of understanding random events is probability theory, which is a branch of mathematics concerned with the analysis of random phenomena. The fundamental component of probability is the 'event', which is any particular outcome or group of outcomes. Probability theory assigns a numerical value, ranging from 0 to 1, to the likelihood of an event occurring.

A probability of 0 indicates an impossibility, whereas a probability of 1 signifies certainty. Any probability in between reflects the degree of certainty that the event will happen. In our lottery problem, the probability of any specific number being drawn from one of the bins is \(\frac{1}{10}\) or 0.1, implying that each number has an equal chance to occur, reflecting the concept of a uniform distribution in this straightforward scenario.

The calculation of complex probabilities relies on rules and theorems developed within probability theory, such as the multiplication rule for independent events, which was utilized in computing the probability of the '9-1-1' sequence.
Randomness in Probability
Randomness is a key concept in probability that refers to the unpredictability and lack of pattern in events. It ensures that each event is governed by chance, with no discernible influence from prior outcomes or external factors.

In the context of the New York state lottery, the random selection of balls mimics the idea of randomness. Because each ball is equally likely to be chosen, every number combination has the same probability of being drawn, demonstrating the concept of a random process.

However, humans often look for patterns and may mistakenly see significance in sequences that are merely the result of random chance, such as the '9-1-1' sequence occurring on September 11th. This tendency is known as apophenia or patternicity, but it does not reflect the underlying principles of randomness where every number has an equal chance to be chosen, regardless of the sequence or date.

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Most popular questions from this chapter

A large cable company reports that \(42 \%\) of its customers subscribe to its Internet service, \(32 \%\) subscribe to its phone service, and \(51 \%\) subscribe to its Internet service or its phone service (or both). a. Use the given probability information to set up a "hypothetical \(1000 "\) table. b. Use the table to find the following: i. the probability that a randomly selected customer subscribes to both the Internet service and the phone service. ii. the probability that a randomly selected customer subscribes to exactly one of the two services.

Roulette is a game of chance that involves spinning a wheel that is divided into 38 equal segments, as shown in the accompanying picture. A metal ball is tossed into the wheel as it is spinning, and the ball eventually lands in one of the 38 segments. Each segment has an associated color. Two segments are green. Half of the other 36 segments are red, and the others are black. When a balanced roulette wheel is spun, the ball is equally likely to land in any one of the 38 segments. a. When a balanced roulette wheel is spun, what is the probability that the ball lands in a red segment? b. In the roulette wheel shown, black and red segments alternate. Suppose instead that all red segments were grouped together and that all black segments were together. Does this increase the probability that the ball will land in a red segment? Explain. c. Suppose that you watch 1000 spins of a roulette wheel and note the color that results from each spin. What would be an indication that the wheel was not balanced?

Consider a chance experiment that consists of selecting a customer at random from all people who purchased a car at a large car dealership during 2010 . a. In the context of this chance experiment, give an example of two events that would be mutually exclusive. b. In the context of this chance experiment, give an example of two events that would not be mutually exclusive.

Suppose that \(20 \%\) of all teenage drivers in a certain county received a citation for a moving violation within the past year. Assume in addition that \(80 \%\) of those receiving such a citation attended traffic school so that the citation would not appear on their permanent driving record. Consider the chance experiment that consists of randomly selecting a teenage driver from this county. a. One of the percentages given in the problem specifies an unconditional probability, and the other percentage specifies a conditional probability. Which one is the conditional probability, and how can you tell? b. Suppose that two events \(E\) and \(F\) are defined as follows: \(E=\) selected driver attended traffic school \(F=\) selected driver received such a citation Use probability notation to translate the given information into two probability statements of the form \(P(\ldots)=\) probability value.

An electronics store sells two different brands of DVD players. The store reports that \(30 \%\) of customers purchasing a DVD choose Brand \(1 .\) Of those that choose Brand \(1,20 \%\) purchase an extended warranty. Consider the chance experiment of randomly selecting a customer who purchased a DVD player at this store. a. One of the percentages given in the problem specifies an unconditional probability, and the other percentage specifies a conditional probability. Which one is the conditional probability, and how can you tell? b. Suppose that two events \(B\) and \(E\) are defined as follows: \(B=\) selected customer purchased Brand 1 \(E=\) selected customer purchased an extended warranty Use probability notation to translate the given information into two probability statements of the form \(P(\underline{ })=\) probability value.

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