MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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The probability distribution of the random variable \( X \) represents the number of hits a baseball player obtained in a game for the 2012 baseball season.

\[
\begin{array}{c|cccccc}
x & 0 & 1 & 2 & 3 & 4 & 5 \\
\hline
P(x) & 0.1661 & 0.3036 & 0.2817 & 0.1484 & 0.0372 & 0.0360 \\
\end{array}
\]

The probability distribution was used along with statistical software to simulate 25 repetitions of the experiment (25 games). The number of hits was recorded. Approximate the mean and standard deviation of the random variable \( X \) based on the simulation. The simulation was repeated by performing 50 repetitions of the experiment. Approximate the mean and standard deviation of the random variable. Compare your results to the theoretical mean and standard deviation. What property is being illustrated?

Click the icon to view the data tables.

Compute the theoretical mean of the random variable \( X \) for the given probability distribution.

\[
\mu_X = \text{hits} 
\]

(Round to three decimal places as needed.)

**Data Tables:**

1. **Table of the numbers of hits for 25 games:**
   ```
   2 1 3 5
   4 2 2 1
   1 0 3 3
   1 1 2 2
   2 1 0 1
   ```

2. **Table of the numbers of hits for 50 games:**
   ```
   2 1 3 5 4 2 2 0 1
   0 1 9 5 1 2 4 0 1
   1 1 2 2 3 4 3 3 2
   1 0 1 1 1 0 0 3
   1 2 2 1 1 3 2 0
   2 0 0 2 2 1 5 2
   ```
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Transcribed Image Text:The probability distribution of the random variable \( X \) represents the number of hits a baseball player obtained in a game for the 2012 baseball season. \[ \begin{array}{c|cccccc} x & 0 & 1 & 2 & 3 & 4 & 5 \\ \hline P(x) & 0.1661 & 0.3036 & 0.2817 & 0.1484 & 0.0372 & 0.0360 \\ \end{array} \] The probability distribution was used along with statistical software to simulate 25 repetitions of the experiment (25 games). The number of hits was recorded. Approximate the mean and standard deviation of the random variable \( X \) based on the simulation. The simulation was repeated by performing 50 repetitions of the experiment. Approximate the mean and standard deviation of the random variable. Compare your results to the theoretical mean and standard deviation. What property is being illustrated? Click the icon to view the data tables. Compute the theoretical mean of the random variable \( X \) for the given probability distribution. \[ \mu_X = \text{hits} \] (Round to three decimal places as needed.) **Data Tables:** 1. **Table of the numbers of hits for 25 games:** ``` 2 1 3 5 4 2 2 1 1 0 3 3 1 1 2 2 2 1 0 1 ``` 2. **Table of the numbers of hits for 50 games:** ``` 2 1 3 5 4 2 2 0 1 0 1 9 5 1 2 4 0 1 1 1 2 2 3 4 3 3 2 1 0 1 1 1 0 0 3 1 2 2 1 1 3 2 0 2 0 0 2 2 1 5 2 ```
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