A Sample of 6,000 Computer Monitors Are Examined for Stuck $\begin{array} { c | c | c | c | c | c } x & 0 & 1 & 2 & 3 & 4 \\\hline P ( x ) & 4.0740 & 1.1530 & 0.4620 & 0.2260 & 0.0850\end{array}$

question 26

Multiple Choice

A sample of 6,000 computer monitors are examined for stuck pixels. Of them, 4,074 have no stuck pixels, 1,153 have one stuck pixel, 462 have two stuck pixels, 226 have three stuck pixels, and 85 Have four stuck pixels. Let X be the number of stuck pixels of a monitor randomly sampled from
This population. Find the probability distribution of X.

• A) \(\begin{array} { c | c | c | c | c | c }
• x & 0 & 1 & 2 & 3 & 4 \\
• \hline P ( x ) & 4.0740 & 1.1530 & 0.4620 & 0.2260 & 0.0850
• \end{array}\)
• B) \(\begin{array} { c | c | c | c | c | c }
• x & 0 & 1 & 2 & 3 & 4 \\
• \hline P ( x ) & 0.6790 & 0.1922 & 0.0770 & 0.0377 & 0.0142
• \end{array}\)
• C)\(\begin{array} { c | c | c | c | c | c }
• x & 0 & 1 & 2 & 3 & 4 \\
• \hline P ( x ) & 0.0142 & 0.0377 & 0.0770 & 0.1922 & 0.6790
• \end{array}\)
• D) \(\begin{array} { c | c | c | c | c | c }
• x & 0 & 1 & 2 & 3 & 4 \\
• \hline P ( x ) & 0.0850 & 0.2260 & 0.4620 & 1.1530 & 4.0740
• \end{array}\)

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Definitions:

Friedman Test

A non-parametric statistical test used to detect differences in treatments across multiple test attempts.

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A threshold in statistical testing that determines if the evidence is strong enough to reject the null hypothesis.

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Weight Gain

An increase in body weight over time, which can result from various factors including diet, exercise, health conditions, or genetics.