c) If you take a sample of size 36, can you say what the shape of the distribution of the sample mean is? v ? Yes No vhy not? population is normal population is not normal o is known On is at least 30 On is less than 30 Oo is unknown d) For a sample of size 36, state the mean and the standard deviation of the sampling distribution of the sample mean. mean of the sampling distribution of the sample meanwhen n = 36: standard deviation of the sampling distribution of the sample mean when n = 36 rounded to two decimal places: O O O O O

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### Sampling Distribution and Sample Mean

#### Question c
**Prompt:** If you take a sample of size 36, can you say what the shape of the distribution of the sample mean is?  
**Options:**  
- Yes [Selected]
- No  

**Explain why or why not:**  
- [ ] population is normal  
- [ ] population is not normal  
- [ ] σ (sigma) is known  
- [ ] n is at least 30  
- [ ] n is less than 30  
- [ ] σ (sigma) is unknown  

#### Question d
For a sample of size 36, state the mean and the standard deviation of the sampling distribution of the sample mean.

- **Mean of the sampling distribution of the sample mean when n = 36:**  
  (Input box)

- **Standard deviation of the sampling distribution of the sample mean when n = 36 rounded to two decimal places:**  
  (Input box)

These exercises explore the characteristics of the sampling distribution of the sample mean, using the Central Limit Theorem and its assumptions depending on the sample size \( n \).
Transcribed Image Text:### Sampling Distribution and Sample Mean #### Question c **Prompt:** If you take a sample of size 36, can you say what the shape of the distribution of the sample mean is? **Options:** - Yes [Selected] - No **Explain why or why not:** - [ ] population is normal - [ ] population is not normal - [ ] σ (sigma) is known - [ ] n is at least 30 - [ ] n is less than 30 - [ ] σ (sigma) is unknown #### Question d For a sample of size 36, state the mean and the standard deviation of the sampling distribution of the sample mean. - **Mean of the sampling distribution of the sample mean when n = 36:** (Input box) - **Standard deviation of the sampling distribution of the sample mean when n = 36 rounded to two decimal places:** (Input box) These exercises explore the characteristics of the sampling distribution of the sample mean, using the Central Limit Theorem and its assumptions depending on the sample size \( n \).
**A random variable X is not normally distributed. It has a mean of 33 and a standard deviation of 7.**

**List the givens with correct symbols:**

- \(\mu = 33\)
- \(\sigma = 7\)

**a) If you take a sample of size 17, can you say what the shape of the sampling distribution for the sample mean is?**

- (Dropdown menu: \(\sigma\), \(X\), \(p\), \(N\), \(s\), \(\overline{X}\), \(\mu\), \(n\))

**Why or why not? Check all that apply.**

- [ ] \(\sigma\) is unknown
- [x] \(n\) is less than 30
- [ ] \(\sigma\) is known
- [ ] \(n\) is at least 30
- [x] population is not normal
- [ ] population is normal

**b) For a sample of size 17, state the mean and the standard deviation of the sampling distribution of the sample mean.**

- **Mean of the sampling distribution of the sample mean when \(n = 17\):** \(\_\_\_\_\_\_\_\_\_)
  
- **Standard deviation of the sampling distribution of the sample mean when \(n = 17\) rounded to two decimal places:** \(\_\_\_\_\_\_\_\_\_\_\)

**c) If you take a sample of size 36, can you say what the shape of the distribution of the sample mean is?**

---
**Notes:**
- The dropdown and checkboxes are likely part of an interactive exercise for students to complete.
- The exercise involves understanding sampling distributions and the Central Limit Theorem, particularly how sample size affects the distribution of the sample mean.
Transcribed Image Text:**A random variable X is not normally distributed. It has a mean of 33 and a standard deviation of 7.** **List the givens with correct symbols:** - \(\mu = 33\) - \(\sigma = 7\) **a) If you take a sample of size 17, can you say what the shape of the sampling distribution for the sample mean is?** - (Dropdown menu: \(\sigma\), \(X\), \(p\), \(N\), \(s\), \(\overline{X}\), \(\mu\), \(n\)) **Why or why not? Check all that apply.** - [ ] \(\sigma\) is unknown - [x] \(n\) is less than 30 - [ ] \(\sigma\) is known - [ ] \(n\) is at least 30 - [x] population is not normal - [ ] population is normal **b) For a sample of size 17, state the mean and the standard deviation of the sampling distribution of the sample mean.** - **Mean of the sampling distribution of the sample mean when \(n = 17\):** \(\_\_\_\_\_\_\_\_\_) - **Standard deviation of the sampling distribution of the sample mean when \(n = 17\) rounded to two decimal places:** \(\_\_\_\_\_\_\_\_\_\_\) **c) If you take a sample of size 36, can you say what the shape of the distribution of the sample mean is?** --- **Notes:** - The dropdown and checkboxes are likely part of an interactive exercise for students to complete. - The exercise involves understanding sampling distributions and the Central Limit Theorem, particularly how sample size affects the distribution of the sample mean.
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