A pathological video game user (PVGU) is a video game user that averages 31 or more hours a week of gameplay. According to the article "Pathological Video Game Use among Youths: A Two-Year Longitudinal Study" (Pediatrics, Vol. 127, No. 2, pp. 319-329) by D. Gentile et al., in 2011, about 9% of children in grades 3-8 were PVGUS. Suppose that, today, five youths in grades 3-8 are randomly selected. Let X represent the number of youths who are PVGUS.
A pathological video game user (PVGU) is a video game user that averages 31 or more hours a week of gameplay. According to the article "Pathological Video Game Use among Youths: A Two-Year Longitudinal Study" (Pediatrics, Vol. 127, No. 2, pp. 319-329) by D. Gentile et al., in 2011, about 9% of children in grades 3-8 were PVGUS. Suppose that, today, five youths in grades 3-8 are randomly selected. Let X represent the number of youths who are PVGUS.
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a pathological video game user(PVGU) is à video game user averages 31 or more hours a week of of gameplay.
![### Understanding Pathological Video Game Use Among Youths
A pathological video game user (PVGU) is defined as a video game user that averages 31 or more hours a week of gameplay. According to the article “Pathological Video Game Use among Youths: A Two-Year Longitudinal Study” (Pediatrics, Vol. 127, No. 2, pp. 319–329) by D. Gentile et al., in 2011, about 9% of children in grades 3–8 were PVGUs.
### Probability Calculation Example
Suppose five youths in grades 3–8 are randomly selected. Let \( X \) represent the number of youths who are PVGUs in this sample. Here are the given and calculated values for the probability distribution:
1. **Sample size** \((n)\):
\[
n = 7
\]
2. **Probability of a child being a PVGU** \((p)\):
\[
p = 0.09
\]
3. **Probability of a child not being a PVGU** \((1 - p)\):
\[
1 - p = 0.91
\]
### Probability Distribution Table
The table below presents the probability distribution for the random variable \(X\), representing the number of PVGUs among the sampled youths. The values are calculated and rounded to four decimal places.
| \(X = x\) | \(P(X = x)\) |
|-----------|--------------|
| 0 | 0.5170 |
| 1 | 0.3580 |
### Explanation of Calculation
To compute the probabilities for each possible number of PVGUs in the sample, we use the binomial probability formula:
\[
P(X = x) = \binom{n}{x} p^x (1 - p)^{n - x}
\]
Where:
- \( \binom{n}{x} \) is the binomial coefficient
- \( p \) is the probability of success (being a PVGU)
- \( (1 - p) \) is the probability of failure (not being a PVGU)
- \( n \) is the number of trials (youths sampled)
- \( x \) is the number of successes (number of PVGUs)
### Conclusion
Analyzing](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8b9ab9f7-9bb1-4c74-bf8f-d819b7e596b9%2Fd7b86078-3453-4095-9999-668f4947ab20%2Fp1lwxj2_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Understanding Pathological Video Game Use Among Youths
A pathological video game user (PVGU) is defined as a video game user that averages 31 or more hours a week of gameplay. According to the article “Pathological Video Game Use among Youths: A Two-Year Longitudinal Study” (Pediatrics, Vol. 127, No. 2, pp. 319–329) by D. Gentile et al., in 2011, about 9% of children in grades 3–8 were PVGUs.
### Probability Calculation Example
Suppose five youths in grades 3–8 are randomly selected. Let \( X \) represent the number of youths who are PVGUs in this sample. Here are the given and calculated values for the probability distribution:
1. **Sample size** \((n)\):
\[
n = 7
\]
2. **Probability of a child being a PVGU** \((p)\):
\[
p = 0.09
\]
3. **Probability of a child not being a PVGU** \((1 - p)\):
\[
1 - p = 0.91
\]
### Probability Distribution Table
The table below presents the probability distribution for the random variable \(X\), representing the number of PVGUs among the sampled youths. The values are calculated and rounded to four decimal places.
| \(X = x\) | \(P(X = x)\) |
|-----------|--------------|
| 0 | 0.5170 |
| 1 | 0.3580 |
### Explanation of Calculation
To compute the probabilities for each possible number of PVGUs in the sample, we use the binomial probability formula:
\[
P(X = x) = \binom{n}{x} p^x (1 - p)^{n - x}
\]
Where:
- \( \binom{n}{x} \) is the binomial coefficient
- \( p \) is the probability of success (being a PVGU)
- \( (1 - p) \) is the probability of failure (not being a PVGU)
- \( n \) is the number of trials (youths sampled)
- \( x \) is the number of successes (number of PVGUs)
### Conclusion
Analyzing
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A pathological video game user (PVGU) is a video game user that averages 31 or more hours a week of gameplay. According to the article “Pathological Video Game Use among Youths: A Two-Year Longitudinal Study” (Pediatrics, Vol. 127, No. 2, pp. 319–329) by D. Gentile et al., in 2011, about 9% of children in grades 3–8 were PVGUs. Suppose that, today, five youths in grades 3–8 are randomly selected. Let X represent the number of youths who are PVGUs.
Calculate the probability that EXACTLY three youths are PVGUs
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