/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 7 A batter who had failed to get a... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

A batter who had failed to get a hit in seven consecutive times at bat then hits a game-winning home run. When talking to reporters afterward, he says he was very confident that last time at bat because he knew he was "due for a hit." Comment on his reasoning.

Short Answer

Expert verified
The batter's belief in being "due for a hit" is an example of the gambler's fallacy, as each at-bat is independent of past results.

Step by step solution

01

Understanding Probability

The batter believes that after failing in seven consecutive at-bats, he is more likely to succeed in his next attempt. This belief implies that past failures increase the likelihood of future success, which is a classic example of the 'gambler’s fallacy.'
02

Clarifying the Gambler’s Fallacy

The gambler’s fallacy is the mistaken belief that if something happens more frequently than normal during a given period, it will happen less frequently in the future. In the batter's case, he assumes the lack of hits previously somehow influences or increases his chance of a hit in the present.
03

Independence of Events

Hitting in baseball is a series of independent events, meaning each at-bat is not influenced by the outcomes of previous at-bats. Thus, prior at-bats have no impact on the probability of getting a hit in the next at-bat.
04

Evaluating the Batter's Confidence

While confidence can positively affect a player's performance, the batter's reasoning of being 'due for a hit' is flawed. His probability of hitting the home run was not increased by his previous failures but rather due to other factors such as skill, training, and perhaps a favorable pitch.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

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

Gambler’s Fallacy
The gambler's fallacy is a common misconception in probability and everyday reasoning. It occurs when someone mistakenly believes that the outcome of a random event is affected by previous outcomes. It's like thinking a coin is more likely to land on heads after several tails in a row, even though each flip is independent. In the context of baseball, the batter believed he was "due for a hit" after a streak of missed opportunities. This suggests he thought past failures increased his likelihood of succeeding next time.

However, this is not how probability works. Each at-bat is an independent event, meaning that the outcome is not influenced by what happened before. Relying on the gambler's fallacy can lead to incorrect conclusions about likely outcomes. It's essential to understand that in random events, especially in sports, past occurrences shouldn't dictate future expectations.
Independence of Events
Understanding the independence of events helps clarify why the batter's expectations were incorrect. In probability, two events are independent if the occurrence of one does not affect the other. For example, each flip of a coin is independent. Getting heads doesn't make tails more or less likely on the next flip.

In baseball, each time a batter steps up to the plate, it's a separate event. The result of one at-bat doesn't impact the chances in the next one. This is why players can't predict hits based on previous misses. Skills, conditions, and luck play a role, but not the outcomes of previous at-bats.

Understanding the independence of events allows us to avoid misconceptions like the belief that someone is "due" for success after failures. It encourages a more realistic view of how probability works in real-life scenarios.
Baseball Statistics
Baseball is a sport filled with statistics, utilized to predict performance and outcomes. But these statistics must be understood correctly, especially when interpreting individual events. A player's batting average, for example, represents their overall hitting success over many attempts, not a prediction for the next at-bat.

While statistics can indicate a player's general skill level, each at-bat remains an independent event. Even if a player misses several times in a row, it doesn’t mean they’re due for a hit. Instead, outcomes are influenced by current game conditions and other changing factors, like the pitcher's skill and the circumstances of play.

Interpreting baseball statistics requires an understanding that data represents tendencies over time, not guarantees in individual situations. Thus, while stats can guide expectations, they should be one piece of information in how events are considered.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

On February \(11,2009,\) the AP news wire released the following story: (LAS VEGAS, Nev.) - A man in town to watch the NCAA basketball tournament hit a \(\$ 38.7\) million jackpot on Friday, the biggest slot machine payout ever. The 25 -year-old software engineer from Los Angeles, whose name was not released at his request, won after putting three \(\$ 1\) coins in a machine at the Excalibur hotel-casino, said Rick Sorensen, a spokesman for slot machine maker International Game Technology. a) How can the Excalibur afford to give away millions of dollars on a \(\$ 3\) bet? b) Why was the maker willing to make a statement? Wouldn't most businesses want to keep such a huge loss quiet?

The Masterfoods company says that before the introduction of purple, yellow candies made up \(20 \%\) of their plain M\&M's, red another \(20 \%,\) and orange, blue, and green each made up \(10 \% .\) The rest were brown. a) If you pick an \(\mathrm{M} \& \mathrm{M}\) at random, what was the probability that 1) it is brown? 2) it is yellow or orange? 3) it is not green? 4) it is striped? b) If you pick three M\&M's in a row, what is the probability that 1) they are all brown? 2) the third one is the first one that's red? 3) none are yellow? 4) at least one is green?

For a sales promotion, the manufacturer places winning symbols under the caps of \(10 \%\) of all Pepsi bottles. You buy a six-pack. What is the probability that you win something?

For each of the following, list the sample space and tell whether you think the events are equally likely: a) Roll two dice; record the sum of the numbers. b) A family has 3 children; record each child's sex in order of birth. c) Toss four coins; record the number of tails. d) Toss a coin 10 times; record the length of the longest run of heads.

For each of the following, list the sample space and tell whether you think the events are equally likely: a) Toss 2 coins; record the order of heads and tails. b) A family has 3 children; record the number of boys. c) Flip a coin until you get a head or 3 consecutive tails; record each flip. d) Roll two dice; record the larger number.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.