Determine U-x and ox from the given parameters of the population and sample size.. A = 81 0=18 n = 36
Determine U-x and ox from the given parameters of the population and sample size.. A = 81 0=18 n = 36
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 8PPS
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Question
![### Determining Population and Sample Statistics
#### Problem Statement:
Determine \(\mu_{\bar{x}}\) and \(\sigma_{\bar{x}}\) from the given parameters of the population and sample size.
Given Data:
- Population Mean (\(\mu\)): 81
- Population Standard Deviation (\(\sigma\)): 18
- Sample Size (\(n\)): 36
#### Explanation:
To solve this problem, we need to calculate the sample mean (\(\mu_{\bar{x}}\)) and the sample standard deviation (\(\sigma_{\bar{x}}\)) using the given population parameters. In sampling distribution theory, the sample mean and standard deviation for the sample mean are calculated as follows:
1. **Sample Mean (\(\mu_{\bar{x}}\))**:
- The sample mean is equal to the population mean.
- \(\mu_{\bar{x}} = \mu\)
- Thus, \(\mu_{\bar{x}} = 81\).
2. **Sample Standard Deviation (\(\sigma_{\bar{x}}\))**:
- The sample standard deviation of the sample mean is calculated using the formula:
- \(\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}\)
- Plugging in the values: \(\sigma_{\bar{x}} = \frac{18}{\sqrt{36}}\)
- Simplify: \(\sigma_{\bar{x}} = \frac{18}{6} = 3\)
#### Conclusion:
- The sample mean (\(\mu_{\bar{x}}\)) is 81.
- The sample standard deviation (\(\sigma_{\bar{x}}\)) is 3.
By understanding these calculations, students can learn how to interpret and work with sampling distributions, an important concept in statistics.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9b5066ec-96e2-4f47-a09c-4de157e717f2%2F90dceaa5-ff76-402a-8409-097b79f2d4d6%2F8c4mra_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Determining Population and Sample Statistics
#### Problem Statement:
Determine \(\mu_{\bar{x}}\) and \(\sigma_{\bar{x}}\) from the given parameters of the population and sample size.
Given Data:
- Population Mean (\(\mu\)): 81
- Population Standard Deviation (\(\sigma\)): 18
- Sample Size (\(n\)): 36
#### Explanation:
To solve this problem, we need to calculate the sample mean (\(\mu_{\bar{x}}\)) and the sample standard deviation (\(\sigma_{\bar{x}}\)) using the given population parameters. In sampling distribution theory, the sample mean and standard deviation for the sample mean are calculated as follows:
1. **Sample Mean (\(\mu_{\bar{x}}\))**:
- The sample mean is equal to the population mean.
- \(\mu_{\bar{x}} = \mu\)
- Thus, \(\mu_{\bar{x}} = 81\).
2. **Sample Standard Deviation (\(\sigma_{\bar{x}}\))**:
- The sample standard deviation of the sample mean is calculated using the formula:
- \(\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}\)
- Plugging in the values: \(\sigma_{\bar{x}} = \frac{18}{\sqrt{36}}\)
- Simplify: \(\sigma_{\bar{x}} = \frac{18}{6} = 3\)
#### Conclusion:
- The sample mean (\(\mu_{\bar{x}}\)) is 81.
- The sample standard deviation (\(\sigma_{\bar{x}}\)) is 3.
By understanding these calculations, students can learn how to interpret and work with sampling distributions, an important concept in statistics.
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