Chapter 7: Problem 29
Draw a normal curve and label the mean and inflection points. $$ \mu=30 \text { and } \sigma=10 $$
Short Answer
Expert verified
The mean is at 30, and the inflection points are at 20 and 40.
Step by step solution
01
- Draw the Horizontal Axis
Start by drawing a horizontal axis on your graph. This axis will represent the variable for which we are plotting the normal distribution.
02
- Plot the Mean
Identify the mean of the distribution, denoted as \( \mu = 30 \). Mark this point on the horizontal axis.
03
- Draw the Bell Curve
Sketch a symmetric bell-shaped curve centered on the mean (\( \mu = 30 \)). Ensure the curve is smooth and approaches the horizontal axis asymptotically.
04
- Identify and Mark the Inflection Points
The inflection points occur at \( \mu - \sigma \) and \( \mu + \sigma \). Calculate these points: \( 30 - 10 = 20 \) and \( 30 + 10 = 40 \). Mark these points on the horizontal axis.
05
- Label the Graph
Label the mean (\( \mu = 30 \)) and the inflection points (\(20\) and \(40\)) clearly on the graph.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
mean
The mean is the average value of a data set. In a normal distribution, it is represented by the symbol \(\mu\). The mean is the center point of a bell curve.
Here’s how you can find and plot the mean on a graph:
Here’s how you can find and plot the mean on a graph:
- Start with a horizontal axis.
- Identify the mean value; in this exercise, it is given as \(\mu = 30\).
- Mark this point on the horizontal axis. This will be the center of your bell curve.
inflection points
Inflection points are where the curve changes concavity. For a normal distribution, these points are crucial because they indicate the spread of the data.
To locate inflection points:
To locate inflection points:
- Identify the mean \(\mu\) and standard deviation \(\sigma\). In this exercise, \(\mu = 30\) and \(\sigma = 10\).
- Calculate the positions: \(\mu - \sigma = 20\) and \(\mu + \sigma = 40\).
- Mark these points on the horizontal axis.
standard deviation
Standard deviation is a measure of spread in your dataset. Represented by \(\sigma\), it indicates how much individual data points deviate from the mean.
A few key aspects to understand about standard deviation in a normal distribution:
A few key aspects to understand about standard deviation in a normal distribution:
- It determines the width of the bell curve.
- The smaller the standard deviation, the steeper and narrower the curve.
- Larger standard deviations result in flatter and wider curves.
bell curve
A bell curve, or normal distribution curve, is a graphical representation of data that shows a symmetric, bell-shaped appearance. Here are its key features:
- The mean (\(\mu\)) is at the center of the curve.
- Inflection points are located one standard deviation (\(\sigma\)) away from the mean.
- The curve approaches, but never touches the horizontal axis.