Questions: Suppose that the age of students at George Washington Elementary school is uniformly distributed between 5 and 11 years old. 37 randomly selected children from the school are asked their age. Round all answers to 4 decimal places where possible. a. What is the distribution of X ? X-U(5 , 11 ) Suppose that 37 children from the school are surveyed. Then the sampling distribution is b. What is the distribution of x̄ ? x̄-N 8.0 , 3/37 c. What is the probability that the average of 37 children will be between 7 and 7.5 years old? 0.0393

Suppose that the age of students at George Washington Elementary school is uniformly distributed between 5 and 11 years old. 37 randomly selected children from the school are asked their age. Round all answers to 4 decimal places where possible.
a. What is the distribution of X ? X-U(5 , 11 )
Suppose that 37 children from the school are surveyed. Then the sampling distribution is
b. What is the distribution of x̄ ? x̄-N 8.0 , 3/37 
c. What is the probability that the average of 37 children will be between 7 and 7.5 years old? 0.0393
Transcript text: Suppose that the age of students at George Washington Elementary school is uniformly distributed between 5 and 11 years old. 37 randomly selected children from the school are asked their age. Round all answers to 4 decimal places where possible. a. What is the distribution of $X$ ? $X-U(5$ , 11 ) Suppose that 37 children from the school are surveyed. Then the sampling distribution is b. What is the distribution of $\bar{x}$ ? $\bar{x}-\mathrm{N} 8.0$ , 3/37 c. What is the probability that the average of 37 children will be between 7 and 7.5 years old? 0.0393
failed

Solution

failed
failed

What is the distribution of \( X \)?

Distribution of \( X \)

The age of students at George Washington Elementary School is uniformly distributed between 5 and 11 years old. Therefore, we can express this as: \[ X \sim U(5, 11) \]

\(\boxed{X \sim U(5, 11)}\)

What is the distribution of \( \bar{x} \)?

Distribution of \( \bar{x} \)

The mean of the uniform distribution is given by: \[ \mu = \frac{a + b}{2} = \frac{5 + 11}{2} = 8.0 \] The variance of the uniform distribution is: \[ \sigma^2 = \frac{(b - a)^2}{12} = \frac{(11 - 5)^2}{12} = \frac{36}{12} = 3 \] The variance of the sample mean \( \bar{x} \) is: \[ \sigma^2_{\bar{x}} = \frac{\sigma^2}{n} = \frac{3}{37} \] Thus, the distribution of \( \bar{x} \) can be expressed as: \[ \bar{x} \sim N\left(8.0, \frac{3}{37}\right) \]

\(\boxed{\bar{x} \sim N\left(8.0, \frac{3}{37}\right)}\)

What is the probability that the average of 37 children will be between 7 and 7.5 years old?

Calculating the probability

To find the probability that the average age \( \bar{x} \) is between 7 and 7.5, we first calculate the cumulative distribution function (CDF) values at these points: \[ P(7 < \bar{x} < 7.5) = P(\bar{x} \leq 7.5) - P(\bar{x} \leq 7) \] The calculated probability is: \[ P(7 < \bar{x} < 7.5) = 0.0393 \]

\(\boxed{P(7 < \bar{x} < 7.5) = 0.0393}\)

The distribution of \( X \) is \( \boxed{X \sim U(5, 11)} \).

The distribution of \( \bar{x} \) is \( \boxed{\bar{x} \sim N\left(8.0, \frac{3}{37}\right)} \).

The probability that the average age is between 7 and 7.5 years is \( \boxed{0.0393} \).

Was this solution helpful?
failed
Unhelpful
failed
Helpful