Problem 16
Question
Work each problem. If the odds that it will rain are 4 to \(5,\) what is the probability of rain?
Step-by-Step Solution
Verified Answer
The probability of rain is \( \frac{4}{9} \).
1Step 1: Understanding Odds
Odds are a way to express probabilities. If the odds in favor of an event are given as "a to b", this means the probability of the event happening over it not happening is expressed as a ratio a:b. Here, the odds for rain are 4 to 5.
2Step 2: Calculate Probability of Rain
To calculate the probability of rain from the odds, use the formula: \[ P(A) = \frac{a}{a + b} \]where \(a\) represents the odds in favor (4) and \(b\) represents the odds against (5). Substitute the values: \[ P(\text{Rain}) = \frac{4}{4 + 5} = \frac{4}{9} \].
Key Concepts
OddsProbability CalculationEvent Probability
Odds
Odds are a way of expressing the likelihood of an event happening compared to it not happening. They are usually presented as a ratio of two numbers. When you hear someone say the odds are '4 to 5,' it means for every 4 times the event is expected to happen, it is expected not to happen 5 times. This does not immediately tell us the probability but provides a relative measure of likelihood.
Odds can be expressed in different forms:
Odds can be expressed in different forms:
- Odds in favor: The odds of the event occurring, similar to our example with rain at 4 to 5.
- Odds against: This would invert the numbers, representing how likely the event is not to happen (in the example, it would be 5 to 4).
Probability Calculation
To convert odds into probability, you need a simple formula that takes into account both the likelihood of the event happening and not happening. If you have the odds in a ratio form, 'a to b,' the probability that the event will occur is calculated by dividing the odds in favor by the total of both parts:
\[ P(A) = \frac{a}{a + b} \]
Here's how it works: You take the number of successful outcomes (denoted as 'a') and divide it by the total number of possible outcomes, which is the sum of successes and failures ('a' + 'b'). In the rain example, with odds of 4 to 5, this is calculated as \( \frac{4}{4+5} = \frac{4}{9} \).
This calculation transforms the relative likelihood expressed as odds into a probability, a number between 0 and 1, with 0 indicating impossibility and 1 indicating certainty.
\[ P(A) = \frac{a}{a + b} \]
Here's how it works: You take the number of successful outcomes (denoted as 'a') and divide it by the total number of possible outcomes, which is the sum of successes and failures ('a' + 'b'). In the rain example, with odds of 4 to 5, this is calculated as \( \frac{4}{4+5} = \frac{4}{9} \).
This calculation transforms the relative likelihood expressed as odds into a probability, a number between 0 and 1, with 0 indicating impossibility and 1 indicating certainty.
Event Probability
Event probability refers to the chance of a specific outcome or event occurring out of all other possible outcomes. Probabilities are numbers between 0 and 1, often expressed as percentages. An event probability calculated from odds tells us how often we expect an event to happen in repeated trials.
When we calculate event probability from odds, we gain a precise, standard measure to communicate and compare the likelihood of different events. In the case of rain with a probability of \( \frac{4}{9} \) or about 0.444, it suggests rain might happen roughly 44.4% of the time under the given conditions. Event probabilities are vital in decision-making processes, helping to inform choices based on the likelihood of various outcomes.
- An event with a probability closer to 1 has a higher likelihood.
- An event near 0 is unlikely to happen.
- A probability of 0.5 indicates that the event is just as likely to happen as not.
When we calculate event probability from odds, we gain a precise, standard measure to communicate and compare the likelihood of different events. In the case of rain with a probability of \( \frac{4}{9} \) or about 0.444, it suggests rain might happen roughly 44.4% of the time under the given conditions. Event probabilities are vital in decision-making processes, helping to inform choices based on the likelihood of various outcomes.
Other exercises in this chapter
Problem 15
Decide whether each sequence is finite or infinite. The sequence of days of the week
View solution Problem 16
Use mathematical induction to prove each statement. Assume that \(n\) is a positive integer. $$\frac{1}{2}+\frac{1}{2^{2}}+\frac{1}{2^{3}}+\dots+\frac{1}{2^{n}}
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Find \(a_{8}\) and \(a_{n}\) for each arithmetic sequence. $$a_{4}=5, d=-2$$
View solution Problem 16
Evaluate each expression. Do not use a calculator. $$P(10,3)$$
View solution