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ODO 1:  Using the Matplotlib plt.plot() function, plot the x values and y values. As seen in the illustration, a normal distribution should be drawn!   # TODO 1 plots = plt.plot(x_values, y_values)

ODO 1:  Using the Matplotlib plt.plot() function, plot the x values and y values. As seen in the illustration, a normal distribution should be drawn!   # TODO 1 plots = plt.plot(x_values, y_values)

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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TODO 1:  Using the Matplotlib plt.plot() function, plot the x values and y values. As seen in the illustration, a normal distribution should be drawn!

 

# TODO 1
plots = plt.plot(x_values, y_values)
 
Expected Output:
The image showcases a graph of a normal distribution, also known as a Gaussian distribution. The curve is symmetric and bell-shaped, centered around the mean, which in this case is zero. Key details of the graph: - **X-axis (Horizontal):** Represents the standardized values or z-scores, ranging from -4 to 4. - **Y-axis (Vertical):** Displays the probability density, ranging from 0.00 to 0.40. - **Curve**: The peak of the graph occurs at the mean (0), indicating the highest probability density. As the curve moves away from the mean, it gradually approaches zero, illustrating the properties of the normal distribution where values far from the mean are less probable. This graph is an essential concept in statistics, emphasizing the significance of normal distribution in various fields such as psychology, finance, and natural sciences.
Transcribed Image Text:The image showcases a graph of a normal distribution, also known as a Gaussian distribution. The curve is symmetric and bell-shaped, centered around the mean, which in this case is zero. Key details of the graph: - **X-axis (Horizontal):** Represents the standardized values or z-scores, ranging from -4 to 4. - **Y-axis (Vertical):** Displays the probability density, ranging from 0.00 to 0.40. - **Curve**: The peak of the graph occurs at the mean (0), indicating the highest probability density. As the curve moves away from the mean, it gradually approaches zero, illustrating the properties of the normal distribution where values far from the mean are less probable. This graph is an essential concept in statistics, emphasizing the significance of normal distribution in various fields such as psychology, finance, and natural sciences.
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