A population of values has a normal distribution with μ = 145.1 and σ = 60.3. You intend to draw a random sample of size n = 128. Please show your answers as numbers accurate to 4 decimal places. Find the probability that a single randomly selected value is between 129.6 and 139.2. P(129.6 X 139.2) = Find the probability that a sample of size n = 128 is randomly selected with a mean between 129.6 and 139.2. P(129.6139.2) =

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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**Question 3**

A population of values has a normal distribution with \( \mu = 145.1 \) and \( \sigma = 60.3 \). You intend to draw a random sample of size \( n = 128 \). Please show your answers as numbers accurate to 4 decimal places.

Find the probability that a single randomly selected value is between 129.6 and 139.2.

\[ P(129.6 < X < 139.2) = \]

Find the probability that a sample of size \( n = 128 \) is randomly selected with a mean between 129.6 and 139.2.

\[ P(129.6 < \bar{x} < 139.2) = \]
Transcribed Image Text:**Question 3** A population of values has a normal distribution with \( \mu = 145.1 \) and \( \sigma = 60.3 \). You intend to draw a random sample of size \( n = 128 \). Please show your answers as numbers accurate to 4 decimal places. Find the probability that a single randomly selected value is between 129.6 and 139.2. \[ P(129.6 < X < 139.2) = \] Find the probability that a sample of size \( n = 128 \) is randomly selected with a mean between 129.6 and 139.2. \[ P(129.6 < \bar{x} < 139.2) = \]
A population of values has an unknown distribution with \( \mu = 6.3 \) and \( \sigma = 83.3 \). You intend to draw a random sample of size \( n = 55 \).

**What is the mean of the distribution of sample means?**

\[
\mu_{\bar{x}} = \,\,\_\_\_\_\_\_\_\_\_\_\,\,\,\,\, \text{(Please enter an exact answer.)}
\]

**What is the standard deviation of the distribution of sample means?**

\[
\sigma_{\bar{x}} = \,\,\_\_\_\_\_\_\_\_\,\,\,\,\, \text{(Please report your answer accurate to 2 decimal places.)}
\]
Transcribed Image Text:A population of values has an unknown distribution with \( \mu = 6.3 \) and \( \sigma = 83.3 \). You intend to draw a random sample of size \( n = 55 \). **What is the mean of the distribution of sample means?** \[ \mu_{\bar{x}} = \,\,\_\_\_\_\_\_\_\_\_\_\,\,\,\,\, \text{(Please enter an exact answer.)} \] **What is the standard deviation of the distribution of sample means?** \[ \sigma_{\bar{x}} = \,\,\_\_\_\_\_\_\_\_\,\,\,\,\, \text{(Please report your answer accurate to 2 decimal places.)} \]
Expert Solution
Step 1

Question.2:-

according to central limit theorem if sample size is large enough i.e. greater than 30 then sampling distribution of mean is approximately normally distributed with mean equal to population mean μ and standard error  σ /√n.

So

Mean = μx  = 6.3 

Standard deviation= 83.3/√55

11.2322

On rounding11.23

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