Determine u; and o; from the given parameters of the population and sample size. H= 75, o = 28, n= 49

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Certainly! Here's a transcription for an educational website:

---

**Determine \(\mu_x\) and \(\sigma_x\) from the given parameters of the population and sample size.**

- Population mean (\(\mu\)): 75
- Population standard deviation (\(\sigma\)): 28
- Sample size (\(n\)): 49

\[
\mu_x = \, \text{[Blank for students to fill in]}
\]

---

**Explanation:**

To calculate the sample mean (\(\mu_x\)) and sample standard deviation (\(\sigma_x\)), use the following formulas:

1. **Sample Mean (\(\mu_x\)):** For the sample mean, it remains the same as the population mean.
   \[
   \mu_x = \mu = 75
   \]

2. **Sample Standard Deviation (\(\sigma_x\)):** This is calculated using the formula:
   \[
   \sigma_x = \frac{\sigma}{\sqrt{n}}
   \]
   Here, \(\sigma = 28\) and \(n = 49\). So, \(\sigma_x = \frac{28}{\sqrt{49}} = 4\).

Students should use these calculations to fill in the blanks and understand the relationship between population parameters and sample statistics.
Transcribed Image Text:Certainly! Here's a transcription for an educational website: --- **Determine \(\mu_x\) and \(\sigma_x\) from the given parameters of the population and sample size.** - Population mean (\(\mu\)): 75 - Population standard deviation (\(\sigma\)): 28 - Sample size (\(n\)): 49 \[ \mu_x = \, \text{[Blank for students to fill in]} \] --- **Explanation:** To calculate the sample mean (\(\mu_x\)) and sample standard deviation (\(\sigma_x\)), use the following formulas: 1. **Sample Mean (\(\mu_x\)):** For the sample mean, it remains the same as the population mean. \[ \mu_x = \mu = 75 \] 2. **Sample Standard Deviation (\(\sigma_x\)):** This is calculated using the formula: \[ \sigma_x = \frac{\sigma}{\sqrt{n}} \] Here, \(\sigma = 28\) and \(n = 49\). So, \(\sigma_x = \frac{28}{\sqrt{49}} = 4\). Students should use these calculations to fill in the blanks and understand the relationship between population parameters and sample statistics.
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