Problem 16
Question
For the following exercises, two coins are tossed. Find the probability of tossing exactly one tail.
Step-by-Step Solution
Verified Answer
The probability is \( \frac{1}{2} \).
1Step 1: List Possible Outcomes
Two coins are tossed. Each coin can either land on Heads (H) or Tails (T). The possible outcomes for two coins are: HH, HT, TH, TT. This makes a total of 4 possible outcomes.
2Step 2: Identify Favorable Outcomes
We want exactly one tail in our outcomes. The outcomes that have exactly one tail are HT and TH. So, there are 2 favorable outcomes.
3Step 3: Calculate Probability
Probability is calculated as the number of favorable outcomes divided by the total number of possible outcomes. Thus, the probability of exactly one tail is \( \frac{2}{4} = \frac{1}{2} \).
Key Concepts
OutcomesFavorable outcomesCoin toss
Outcomes
In the context of probability, an **outcome** refers to a possible result of a random event. When tossing coins, each flip results in one of two outcomes: **Heads (H)** or **Tails (T)**. When two coins are tossed together, we can think of this as a combined event consisting of two individual outcomes.
For two coins, these combined outcomes can be expressed as pairs:
For two coins, these combined outcomes can be expressed as pairs:
- HH (both coins show Heads)
- HT (first coin shows Heads, second coin shows Tails)
- TH (first coin shows Tails, second coin shows Heads)
- TT (both coins show Tails)
Favorable outcomes
In probability, a **favorable outcome** is one that satisfies the condition we are interested in. For this exercise, we are specifically looking for the outcome where there is exactly one Tail when two coins are tossed.
From our list of possible outcomes **(HH, HT, TH, TT)**, we identify the outcomes that meet this condition:
From our list of possible outcomes **(HH, HT, TH, TT)**, we identify the outcomes that meet this condition:
- HT (first coin shows Heads, second coin shows Tails)
- TH (first coin shows Tails, second coin shows Heads)
Coin toss
A coin toss is a classic example of a simple random experiment in probability. Each flip of a coin results in one of two possible outcomes, known as **Heads (H)** or **Tails (T)**. This makes a coin toss a perfectly balanced or **fair** event, assuming the coin isn't biased.
When two coins are tossed simultaneously, each coin acts independently of the other. This independence implies that the outcome of one coin does not affect the other, allowing us to consider multiplicative rules for determining probabilities.
For example, since there are two possible outcomes per coin, and two coins, the total number of possible outcomes is calculated as:
When two coins are tossed simultaneously, each coin acts independently of the other. This independence implies that the outcome of one coin does not affect the other, allowing us to consider multiplicative rules for determining probabilities.
For example, since there are two possible outcomes per coin, and two coins, the total number of possible outcomes is calculated as:
- 2 outcomes for the first coin
- 2 outcomes for the second coin
Other exercises in this chapter
Problem 15
For the following exercises, find the specified term for the arithmetic sequence given the first term and common difference. First term is 4, common difference
View solution Problem 15
For the following exercises, write the first four terms of the sequence. $$ a_{n}=-\left(\frac{4 \cdot(-5)^{n-1}}{5}\right) $$
View solution Problem 16
For the following exercises, use the Binomial Theorem to expand each binomial. $$ (2 x+3 y)^{4} $$
View solution Problem 16
For the following exercises, compute the value of the expression. $$ P(8,4) $$
View solution