A population has a mean u= 83 and a standard deviation o = 24. Find the mean and standard deviation of a sampling distribution of sample means with sample size n= 249, H; = (Simplify your answer.) (Type an integer or decimal rounded to three decimal places as needed.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
### Understanding Sampling Distribution of Sample Means

A population has a mean (\( \mu \)) of 83 and a standard deviation (\( \sigma \)) of 24. We are tasked with finding the mean and standard deviation of a sampling distribution of sample means with a sample size (\( n \)) of 249.

**Problem Details:**

- Population Mean (\( \mu \)): 83
- Population Standard Deviation (\( \sigma \)): 24
- Sample Size (\( n \)): 249

To determine the parameters of the sampling distribution of the sample means, we use the following formulas:

1. **Mean of the Sampling Distribution (\( \mu_{\bar{X}} \))**: 
   The mean of the sampling distribution of the sample means is equal to the mean of the population. Therefore:

   \[
   \mu_{\bar{X}} = \mu = 83
   \]

2. **Standard Deviation of the Sampling Distribution (\( \sigma_{\bar{X}} \))**: 
   The standard deviation of the sampling distribution of the sample means (also known as the standard error) is calculated using the population standard deviation and the square root of the sample size:

   \[
   \sigma_{\bar{X}} = \frac{\sigma}{\sqrt{n}} = \frac{24}{\sqrt{249}}
   \]

   Calculating the value:

   \[
   \sigma_{\bar{X}} = \frac{24}{\sqrt{249}} \approx \frac{24}{15.77} \approx 1.522
   \]

So, the standard deviation of the sampling distribution of the sample means is approximately 1.522, rounded to three decimal places.

**Summary:**

- **Mean of the Sampling Distribution** (\( \mu_{\bar{X}} \)) = 83
- **Standard Deviation of the Sampling Distribution** (\( \sigma_{\bar{X}} \)) = 1.522

These concepts are crucial for understanding how sampling distributions behave, especially in the context of inferential statistics.

**Formulas:**
- \[
  \mu_{\bar{X}} = 83 \quad \text{(Simplify your answer.)}
  \]
- \[
  \sigma_{\bar{X}} = 1.522 \quad \text{(Type an integer or decimal rounded to
Transcribed Image Text:### Understanding Sampling Distribution of Sample Means A population has a mean (\( \mu \)) of 83 and a standard deviation (\( \sigma \)) of 24. We are tasked with finding the mean and standard deviation of a sampling distribution of sample means with a sample size (\( n \)) of 249. **Problem Details:** - Population Mean (\( \mu \)): 83 - Population Standard Deviation (\( \sigma \)): 24 - Sample Size (\( n \)): 249 To determine the parameters of the sampling distribution of the sample means, we use the following formulas: 1. **Mean of the Sampling Distribution (\( \mu_{\bar{X}} \))**: The mean of the sampling distribution of the sample means is equal to the mean of the population. Therefore: \[ \mu_{\bar{X}} = \mu = 83 \] 2. **Standard Deviation of the Sampling Distribution (\( \sigma_{\bar{X}} \))**: The standard deviation of the sampling distribution of the sample means (also known as the standard error) is calculated using the population standard deviation and the square root of the sample size: \[ \sigma_{\bar{X}} = \frac{\sigma}{\sqrt{n}} = \frac{24}{\sqrt{249}} \] Calculating the value: \[ \sigma_{\bar{X}} = \frac{24}{\sqrt{249}} \approx \frac{24}{15.77} \approx 1.522 \] So, the standard deviation of the sampling distribution of the sample means is approximately 1.522, rounded to three decimal places. **Summary:** - **Mean of the Sampling Distribution** (\( \mu_{\bar{X}} \)) = 83 - **Standard Deviation of the Sampling Distribution** (\( \sigma_{\bar{X}} \)) = 1.522 These concepts are crucial for understanding how sampling distributions behave, especially in the context of inferential statistics. **Formulas:** - \[ \mu_{\bar{X}} = 83 \quad \text{(Simplify your answer.)} \] - \[ \sigma_{\bar{X}} = 1.522 \quad \text{(Type an integer or decimal rounded to
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman