The average score for games played in the NFL is 21.9 and the standard deviation is 9.3 points. 49 games are randomly selected. Round all answers to 4 decimal places where possible and assume a normal distribution. a. What is the distribution of ? - N( b. What is the distribution of x? x- N( c. P(a < 20.3071) =
The average score for games played in the NFL is 21.9 and the standard deviation is 9.3 points. 49 games are randomly selected. Round all answers to 4 decimal places where possible and assume a normal distribution. a. What is the distribution of ? - N( b. What is the distribution of x? x- N( c. P(a < 20.3071) =
MATLAB: An Introduction with Applications
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![The average score for games played in the NFL is 21.9 and the standard deviation is 9.3 points. Forty-nine games are randomly selected. Round all answers to four decimal places where possible and assume a normal distribution.
a. What is the distribution of \(\overline{x}\)? \(\overline{x} \sim N(\mu, \frac{\sigma}{\sqrt{n}})\)
b. What is the distribution of \(\sum x\)? \(\sum x \sim N(n\mu, \sqrt{n}\sigma)\)
c. \(P(\overline{x} < 20.3071) =\)
d. Find the 60th percentile for the mean score for this sample size.
e. \(P(20.0071 < \overline{x} < 23.2643) =\)
f. Q1 for the \(\overline{x}\) distribution =
g. \(P(\sum x > 999.9479) =\)
h. For part c) and e), is the assumption of normal necessary? \( \text{Yes} \) or \( \text{No} \)
**Hint:**
**Some Helpful Videos:**
- The Central Limit Theorem for Sums
- Finding the Sampling Distribution
- Finding the Sampling Distribution for a Sum
(Note: Links to the videos are not provided in the image.)
Ensure calculations are performed correctly by referring to relevant statistical formulas and theorems.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F24b8115f-9a19-47b6-814b-3be924127cef%2Fbde41604-7c1f-4ae9-b7ca-d8a23b009302%2F3ag12gb_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The average score for games played in the NFL is 21.9 and the standard deviation is 9.3 points. Forty-nine games are randomly selected. Round all answers to four decimal places where possible and assume a normal distribution.
a. What is the distribution of \(\overline{x}\)? \(\overline{x} \sim N(\mu, \frac{\sigma}{\sqrt{n}})\)
b. What is the distribution of \(\sum x\)? \(\sum x \sim N(n\mu, \sqrt{n}\sigma)\)
c. \(P(\overline{x} < 20.3071) =\)
d. Find the 60th percentile for the mean score for this sample size.
e. \(P(20.0071 < \overline{x} < 23.2643) =\)
f. Q1 for the \(\overline{x}\) distribution =
g. \(P(\sum x > 999.9479) =\)
h. For part c) and e), is the assumption of normal necessary? \( \text{Yes} \) or \( \text{No} \)
**Hint:**
**Some Helpful Videos:**
- The Central Limit Theorem for Sums
- Finding the Sampling Distribution
- Finding the Sampling Distribution for a Sum
(Note: Links to the videos are not provided in the image.)
Ensure calculations are performed correctly by referring to relevant statistical formulas and theorems.
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