2. The ages (to the nearest year) of students enrolled in a specific data analysis class have a cumulative probability distribution given by 17 18 19 20 21 22 23 0.60 0.83 0.92 1.00 F(x) 0 0.05 0.28 (a) Find the mean of X. (b) Find the standard deviation of X.
2. The ages (to the nearest year) of students enrolled in a specific data analysis class have a cumulative probability distribution given by 17 18 19 20 21 22 23 0.60 0.83 0.92 1.00 F(x) 0 0.05 0.28 (a) Find the mean of X. (b) Find the standard deviation of X.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![### Problem 2: Analyzing Student Ages Using Cumulative Probability Distribution
The ages (to the nearest year) of students enrolled in a specific data analysis class have a cumulative probability distribution presented in the table below:
| \( x \) | 17 | 18 | 19 | 20 | 21 | 22 | 23 |
|--------|-----|-----|-----|-----|-----|-----|-----|
| \( F(x) \) | 0 | 0.05 | 0.28 | 0.60 | 0.83 | 0.92 | 1.00 |
#### Tasks:
(a) **Find the mean of \( X \):**
To find the mean, apply the formula for the mean of a discrete random variable using the cumulative distribution:
\[
\text{Mean} = \sum (x_i \cdot p_i)
\]
where \( p_i = F(x_i) - F(x_{i-1}) \).
(b) **Find the standard deviation of \( X \):**
First, calculate the variance using the formula:
\[
\text{Variance} = \sum (x_i^2 \cdot p_i) - (\text{Mean})^2
\]
where \( p_i = F(x_i) - F(x_{i-1}) \).
Finally, the standard deviation is the square root of the variance.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1941a39f-dbc9-477a-8528-f1bffe3dd4bc%2F954235ce-862b-4c8e-aede-adc98fbe18ba%2F6s5y72n_processed.png&w=3840&q=75)
Transcribed Image Text:### Problem 2: Analyzing Student Ages Using Cumulative Probability Distribution
The ages (to the nearest year) of students enrolled in a specific data analysis class have a cumulative probability distribution presented in the table below:
| \( x \) | 17 | 18 | 19 | 20 | 21 | 22 | 23 |
|--------|-----|-----|-----|-----|-----|-----|-----|
| \( F(x) \) | 0 | 0.05 | 0.28 | 0.60 | 0.83 | 0.92 | 1.00 |
#### Tasks:
(a) **Find the mean of \( X \):**
To find the mean, apply the formula for the mean of a discrete random variable using the cumulative distribution:
\[
\text{Mean} = \sum (x_i \cdot p_i)
\]
where \( p_i = F(x_i) - F(x_{i-1}) \).
(b) **Find the standard deviation of \( X \):**
First, calculate the variance using the formula:
\[
\text{Variance} = \sum (x_i^2 \cdot p_i) - (\text{Mean})^2
\]
where \( p_i = F(x_i) - F(x_{i-1}) \).
Finally, the standard deviation is the square root of the variance.
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