A population of values has a normal distribution with u = 35.2 and o = 28.7. You intend to draw a random sample of size n = 44. Please show your answers as numbers accurate to 4 decimal places. Find the probability that a single randomly selected value is greater than 33. P(X > 33) = Find the probability that a sample of size n = 44 is randomly selected with a mean greater than 33. P(E > 33) =

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
icon
Concept explainers
Question
100%
### Understanding Normal Distributions: Sample Problems

A population of values has a normal distribution with a mean (μ) of 35.2 and a standard deviation (σ) of 28.7. You intend to draw a random sample of size \( n = 44 \). Please show your answers as numbers accurate to four decimal places.

#### 1. Probability for a Single Randomly Selected Value
Find the probability that a single randomly selected value is greater than 33.
\[ P(X > 33) = \]

#### 2. Probability for a Sample Mean
Find the probability that a sample of size \( n = 44 \) is randomly selected with a mean greater than 33.
\[ P(\bar{x} > 33) = \]

To solve these problems, one typically utilizes z-scores and standard normal distribution tables (or software). Here is how the problems might be approached:

1. **Calculating \( P(X > 33) \):**
   - Compute the z-score for \( X = 33 \) using the formula: 
     \[ Z = \frac{X - \mu}{\sigma} \]

2. **Calculating \( P(\bar{x} > 33) \):**
   - Determine the standard error of the mean (SEM): 
     \[ \sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}} \]
   - Compute the z-score for \( \bar{x} = 33 \) using the formula: 
     \[ Z = \frac{\bar{x} - \mu}{\sigma_{\bar{x}}} \]

### Graphs and Diagrams
Though not provided in the above excerpt, for educational purposes, you may include visual aids such as:

- **Normal Distribution Curve for \( P(X > 33) \)**:
  Illustrate a normal distribution curve where the mean \( \mu = 35.2 \) and show the area to the right of \( X = 33 \).

- **Sampling Distribution of the Sample Mean for \( P(\bar{x} > 33) \)**:
  Depict the distribution of sample means (with reduced spread due to SEM) and highlight the area to the right of \( \bar{x} = 33 \).

These visual representations can help students intuitively understand the probabilities associated with normal distributions and sampling distributions.
Transcribed Image Text:### Understanding Normal Distributions: Sample Problems A population of values has a normal distribution with a mean (μ) of 35.2 and a standard deviation (σ) of 28.7. You intend to draw a random sample of size \( n = 44 \). Please show your answers as numbers accurate to four decimal places. #### 1. Probability for a Single Randomly Selected Value Find the probability that a single randomly selected value is greater than 33. \[ P(X > 33) = \] #### 2. Probability for a Sample Mean Find the probability that a sample of size \( n = 44 \) is randomly selected with a mean greater than 33. \[ P(\bar{x} > 33) = \] To solve these problems, one typically utilizes z-scores and standard normal distribution tables (or software). Here is how the problems might be approached: 1. **Calculating \( P(X > 33) \):** - Compute the z-score for \( X = 33 \) using the formula: \[ Z = \frac{X - \mu}{\sigma} \] 2. **Calculating \( P(\bar{x} > 33) \):** - Determine the standard error of the mean (SEM): \[ \sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}} \] - Compute the z-score for \( \bar{x} = 33 \) using the formula: \[ Z = \frac{\bar{x} - \mu}{\sigma_{\bar{x}}} \] ### Graphs and Diagrams Though not provided in the above excerpt, for educational purposes, you may include visual aids such as: - **Normal Distribution Curve for \( P(X > 33) \)**: Illustrate a normal distribution curve where the mean \( \mu = 35.2 \) and show the area to the right of \( X = 33 \). - **Sampling Distribution of the Sample Mean for \( P(\bar{x} > 33) \)**: Depict the distribution of sample means (with reduced spread due to SEM) and highlight the area to the right of \( \bar{x} = 33 \). These visual representations can help students intuitively understand the probabilities associated with normal distributions and sampling distributions.
Expert Solution
steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Knowledge Booster
Continuous Probability Distribution
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
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