8. The heights of male adults are normally distributed with mean 1.7 m and standard deviation 0.2 m. In a population of 400 male adults, how many would you expect to have a height between 1.4 m and 1.6 m? Jse the following Standard Normal Distribution curve: 19.1% 19.1% 15.0% 15.0% 9.2% 9.2% 0.1% 0.5% 0.5% 0.1% 4.4% 4.4% 1.7% 1.7% -3 -2.5 -2 -1.5 -1 -0.5 ó 0.5 1 1.5 2 2.5 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!
![**Question 8:**
The heights of male adults are normally distributed with a mean of 1.7 m and a standard deviation of 0.2 m. In a population of 400 male adults, how many would you expect to have a height between 1.4 m and 1.6 m?
Use the following Standard Normal Distribution curve:
**Graph Explanation:**
The graph is a standard normal distribution curve, which is symmetrically shaped like a bell. It has a mean of 0 and is divided into sections that represent the percentage of data within each standard deviation from the mean.
- The x-axis represents the number of standard deviations from the mean, ranging from -3 to 3.
- The y-axis represents the probability density.
From left to right, the sections of the curve indicate the following percentages of the population:
- From -3 to -2.5: 0.1%
- From -2.5 to -2: 0.5%
- From -2 to -1.5: 1.7%
- From -1.5 to -1: 4.4%
- From -1 to -0.5: 9.2%
- From -0.5 to 0: 15.0%
- From 0 to 0.5: 19.1%
- From 0.5 to 1: 19.1%
- From 1 to 1.5: 15.0%
- From 1.5 to 2: 9.2%
- From 2 to 2.5: 4.4%
- From 2.5 to 3: 1.7%
- Beyond 3: 0.1%
These percentages represent the proportion of the population expected to fall within each range of standard deviations.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcb3b9bba-00e1-4d71-97c7-f81f90965c27%2F802cf325-48d3-4c10-b36c-bd0f2a213f10%2Foo06n2d_processed.png&w=3840&q=75)
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