Write the normal probability for the shaded region of the graph and find its value. Select the correct choice below and fill in the answer box within your choice.(Round to four decimal places as needed.) A.P(3≤x≤7)=P(2.5≤x≤7.5)=nothing B.P(3
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
![The image displays a probability distribution graph representing a binomial distribution. The key parameters for the binomial distribution are indicated in the upper right corner of the graph: \( n = 16 \) and \( p = 0.55 \).
### Description of the Graph:
- **X-axis (Horizontal):** Represents the number of successes \( x \) in the binomial distribution, ranging from 0 to 16.
- **Y-axis (Vertical):** Represents the probability \( P(x) \) of obtaining exactly \( x \) successes, with values ranging from 0 to 0.24.
### Graph Details:
- **Bars:** The graph consists of vertical bars showing the probability of each specific outcome (number of successes). Each bar corresponds to a discrete value on the x-axis.
- **Highlighted Bars:** A section of the bars, particularly between 4 to 6, is shaded in teal, indicating the area of interest or possibly a specific probability calculation focus.
- **Curve:** A normal distribution curve overlays the bars, representing an approximation of the binomial distribution with the given parameters \( n = 16 \) and \( p = 0.55 \).
### Additional Notes:
- **Purpose:** This graph is typically used to illustrate the behavior of a binomial distribution, showing how probabilities are distributed across multiple possible outcomes.
- **Educational Use:** This type of graph is useful for teaching concepts in probability and statistics, such as the binomial theorem, probability mass functions, and normal approximation to the binomial distribution.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F978aad89-cd58-41d9-a303-0b17b5ff3c37%2F7ef96de3-3dba-4034-a3f7-f55624774cc7%2Fdtpx97r_processed.jpeg&w=3840&q=75)
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