Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
![**Probability of Spinning a B then an Even Number**
**Each spinner is spun once.**
Two diagrams representing spinners are shown:
1. The first spinner is divided into four equal sections labeled: A, B, C, and B.
2. The second spinner is divided into four equal sections labeled with the numbers: 1, 2, 3, and 4.
**Question:** What is the probability of spinning a B then an even number?
Four multiple-choice options are provided:
- \(\bigcirc\) 1/12
- \(\bigcirc\) 1/6
- \(\bigcirc\) 1/24
- \(\bigcirc\) 1/3
**Analyzing the problem:**
To calculate the probability, we need to perform two separate events:
1. The probability of spinning a B on the first spinner.
2. The probability of spinning an even number on the second spinner.
**Step-by-Step Explanation:**
1. **Probability of spinning a B on the first spinner:**
The first spinner has four sections: A, B, C, and B. Out of these sections, B appears twice.
Probability(B) = Number of B sections / Total sections = 2/4 = 1/2
2. **Probability of spinning an even number on the second spinner:**
The second spinner has four sections labeled with numbers: 1, 2, 3, and 4. Out of these, 2 and 4 are even numbers.
Probability(Even Number) = Number of even sections / Total sections = 2/4 = 1/2
Since the events are independent, we multiply the probabilities:
Probability(B and then an Even Number) = Probability(B) * Probability(Even Number)
= (1/2) * (1/2)
= 1/4
**Therefore, the correct answer is not listed among the provided options, indicating either a mistake in the problem or an omission. However, based on calculations, the closest expected answer should be 1/4.**](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4b5161d0-8c1c-4aef-9d6c-2e647d1b4222%2F6dc7bec0-8b03-4b5f-bc54-eae58728ac6e%2F207y7ph_processed.jpeg&w=3840&q=75)
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