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Which of the following numbers could be the probability of an event? $$ 1.5, \frac{1}{2}, \frac{3}{4}, \frac{2}{3}, 0,-\frac{1}{4} $$

Short Answer

Expert verified
Valid probabilities: \(\frac{1}{2}\), \(\frac{3}{4}\), \(\frac{2}{3}\), 0.

Step by step solution

01

Understand the Concept of Probability

Probability values represent the likelihood of an event occurring and must lie between 0 and 1, inclusive. This means any valid probability must be greater than or equal to 0 and less than or equal to 1.
02

Evaluate Each Number

Check each given number to see if it falls within the range [0, 1].
03

Examine 1.5

1.5 is greater than 1, so it cannot be a probability.
04

Examine \(\frac{1}{2}\)

\(\frac{1}{2}\) is between 0 and 1, so it can be a probability.
05

Examine \(\frac{3}{4}\)

\(\frac{3}{4}\) is between 0 and 1, so it can be a probability.
06

Examine \(\frac{2}{3}\)

\(\frac{2}{3}\) is between 0 and 1, so it can be a probability.
07

Examine 0

0 is at the low end of the range, so it can be a probability.
08

Examine \(\-\frac{1}{4}\)

\(-\frac{1}{4}\) is less than 0, so it cannot be a probability.
09

List Valid Probability Values

The numbers that fall within the range [0, 1] and can be probabilities are \(\frac{1}{2}\), \(\frac{3}{4}\), \(\frac{2}{3}\), and 0.

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Key Concepts

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

Valid Probability Range
Probabilities measure how likely an event is to happen. They are always numbers within a specific range. This is because an event cannot happen less than never (0) and cannot happen more than always (1).
Thus, the valid range for probabilities is from 0 to 1, inclusive. This means:
  • 0 is the smallest probability, meaning the event will never happen
  • 1 is the largest probability, meaning the event will surely happen
  • Any number between these values (like 0.25 or 0.75) is also considered a probability
It's important to remember that numbers outside this range, like 1.5 or -0.4, can never be probabilities.
They simply do not make sense in the context of likelihood.
Evaluating Probabilities
When given a set of numbers, you can evaluate them to see if they can be valid probabilities.
Here's how you can do it step by step:
  • First, check if the number is greater than or equal to 0. If it's not, like -0.4, it's immediately invalid.
  • Next, check if the number is less than or equal to 1. Numbers greater than 1, like 1.5, do not fit within the valid range.
  • Finally, if the number fits both criteria, then it is a valid probability. For example, 0.5 and 0.75 fit the criteria and are valid.
This process of evaluation helps in identifying the valid probabilities from a given set of numbers.
Inclusive Ranges in Probability
The word 'inclusive' is crucial when talking about ranges in probability.
Inclusive means that the end values of the range (0 and 1) are part of the valid set of numbers. So, both 0 and 1 are valid probabilities:
  • 0 is the probability that something will not happen at all.
  • 1 is the probability that something will definitely happen.
For instance, when we say the range [0, 1] is inclusive, it means we include both 0 and 1 as well as all the decimal points and fractions in between, such as 0.1, 0.5 or 0.99.
This inclusive range helps to cover all possible probabilities for any event.
Probability Basics
Understanding the basics of probability starts with knowing why we use it.
Probability helps us measure and predict the likelihood of events, from rolling a dice to weather forecasts. Here are few key points to remember:
  • Probability values always lie between 0 and 1, inclusive.
  • A probability of 0 means the event will never happen, while a probability of 1 means the event will always happen.
  • Probabilities can be expressed as fractions, decimals, or percentages. For example, 0.5 is the same as 50% or \(\frac{1}{2}\).
Whenever you are dealing with probability, always check if the values fall within the valid range. This will ensure that your understanding and calculations are correct.

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Most popular questions from this chapter

Suppose that you just received a shipment of six televisions and two are defective. If two televisions are randomly selected, compute the probability that both televisions work. What is the probability that at least one does not work?

Suppose that there are 55 Democrats and 45 Republicans in the U.S. Senate. A committee of seven senators is to be formed by selecting members of the Senate randomly. (a) What is the probability that the committee is composed of all Democrats? (b) What is the probability that the committee is composed of all Republicans? (c) What is the probability that the committee is composed of three Democrats and four Republicans?

The following data represent the number of drivers involved in fatal crashes in the United States in 2013 by day of the week and gender. $$ \begin{array}{lrrr} & \text { Male } & \text { Female } & \text { Total } \\ \hline \text { Sunday } & 4143 & 2287 & 6430 \\ \hline \text { Monday } & 3178 & 1705 & 4883 \\ \hline \text { Tuesday } & 3280 & 1739 & 5019 \\ \hline \text { Wednesday } & 3197 & 1729 & 4926 \\ \hline \text { Thursday } & 3389 & 1839 & \mathbf{5 2 2 8} \\ \hline \text { Friday } & 3975 & 2179 & \mathbf{6 1 5 4} \\ \hline \text { Saturday } & 4749 & 2511 & \mathbf{7 2 6 0} \\ \hline \text { Total } & \mathbf{2 5 , 9 1 1} & \mathbf{1 3 , 9 8 9} & \mathbf{3 9 , 9 0 0} \\ \hline \end{array} $$ (a) Among Sunday fatal crashes, what is the probability that a randomly selected fatality is female? (b) Among female fatalities, what is the probability that a randomly selected fatality occurs on Sunday? (c) Are there any days in which a fatality is more likely to be male? That is, is \(P(\) male \(\mid\) Sunday \()\) much different from \(P(\) male \(\mid\) Monday \()\) and so on?

Players in sports are said to have "hot streaks" and "cold streaks." For example, a batter in baseball might be considered to be in a slump, or cold streak, if he has made 10 outs in 10 consecutive at-bats. Suppose that a hitter successfully reaches base \(30 \%\) of the time he comes to the plate. (a) Find and interpret the probability that the hitter makes 10 outs in 10 consecutive at-bats, assuming that at-bats are independent events. Hint: The hitter makes an out \(70 \%\) of the time. (b) Are cold streaks unusual? (c) Find the probability the hitter makes five consecutive outs and then reaches base safely. (d) Discuss the assumption of independence in consecutive at-bats.

(See Example 10.) How many distinguishable DNA sequences can be formed using three As, two Cs, two Gs, and three Ts?

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