A simple random sample of size 28 is drawn from a normal population whose standard deviation is a= 2. The sample mean is i = 14.3. a.) Construct a 93% confidence level for u. (Round answers to two decimal place.) margin of error: lower limit: upper limit: b.) If the population were not normally distributed, what conditions would need to be met? (Select all that apply.) Olarge enough sample size n

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### Statistical Analysis Exercise

#### Given Information:
A simple random sample of size 28 is drawn from a normal population whose standard deviation is \( \sigma = 2 \). The sample mean is \( \bar{x} = 14.3 \).

#### Task:
a.) **Construct a 93% confidence level for \( \mu \).**  
(Round answers to two decimal places.)

- **Margin of Error:**
  - [Input Box]
  
- **Lower Limit:**
  - [Input Box]
  
- **Upper Limit:**
  - [Input Box]

b.) **If the population were not normally distributed, what conditions would need to be met?**  
(Select all that apply.)

- [ ] large enough sample size \( n \)
- [ ] \( \sigma \) is unknown
- [ ] the population needs to be uniformly distributed
- [ ] \( \sigma \) is known
- [ ] the population needs to be normally distributed
- [ ] systematic sampling
- [ ] simple random sample

### Explanation:
- Part a) involves computing a confidence interval to estimate the population mean based on the sample data. 
- Part b) lists conditions to consider if the population distribution is not normal, focusing on concepts related to sampling methods and distribution assumptions.

This exercise helps understand how to apply statistical techniques to infer population parameters and the considerations when underlying assumptions are not met.
Transcribed Image Text:### Statistical Analysis Exercise #### Given Information: A simple random sample of size 28 is drawn from a normal population whose standard deviation is \( \sigma = 2 \). The sample mean is \( \bar{x} = 14.3 \). #### Task: a.) **Construct a 93% confidence level for \( \mu \).** (Round answers to two decimal places.) - **Margin of Error:** - [Input Box] - **Lower Limit:** - [Input Box] - **Upper Limit:** - [Input Box] b.) **If the population were not normally distributed, what conditions would need to be met?** (Select all that apply.) - [ ] large enough sample size \( n \) - [ ] \( \sigma \) is unknown - [ ] the population needs to be uniformly distributed - [ ] \( \sigma \) is known - [ ] the population needs to be normally distributed - [ ] systematic sampling - [ ] simple random sample ### Explanation: - Part a) involves computing a confidence interval to estimate the population mean based on the sample data. - Part b) lists conditions to consider if the population distribution is not normal, focusing on concepts related to sampling methods and distribution assumptions. This exercise helps understand how to apply statistical techniques to infer population parameters and the considerations when underlying assumptions are not met.
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