According to the Official Stage Magician Handbook, magic rabbit weight (Ibs.) is normally distributed with u = 6.2 and o = 1.5. Consider obtaining a random sample of 17 magic rabbits. Would it be unusual for the sample mean to be at least 6.5? Why or why not? O Yes because the z-score corresponding to a sample mean of 6.5 would be z = 0.82. O No because the z-score corresponding to a sample mean of 6.5 would be z = 0.20. %3D O Yes because the z-score corresponding to a sample mean of 6.5 would be z = 0.2O. O No because the z-score corresponding to a sample mean of 6.5 would be z = 0.82.

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**Consider the Following Scenario:**

According to the Official Stage Magician Handbook, magic rabbit weight (lbs.) is normally distributed with a mean (μ) of 6.2 and a standard deviation (σ) of 1.5.

**Problem Statement:**

Consider obtaining a random sample of 17 magic rabbits.

Would it be unusual for the sample mean to be at least 6.5? Why or why not?

**Answer Choices:**

1. ○ Yes, because the z-score corresponding to a sample mean of 6.5 would be z = 0.82.
2. ○ No, because the z-score corresponding to a sample mean of 6.5 would be z = 0.20.
3. ○ Yes, because the z-score corresponding to a sample mean of 6.5 would be z = 0.20.
4. ○ No, because the z-score corresponding to a sample mean of 6.5 would be z = 0.82.

**Explanation of the Problem:**

To determine whether it is unusual for the sample mean to be at least 6.5, we need to find the z-score for the sample mean.

The z-score can be calculated using the formula for the z-score of a sample mean:

\[ z = \frac{\bar{x} - \mu}{\sigma / \sqrt{n}} \]

Where:
- \(\bar{x}\) is the sample mean (6.5 in this case)
- \(\mu\) is the population mean (6.2)
- \(\sigma\) is the population standard deviation (1.5)
- \(n\) is the sample size (17)

The z-score tells us how many standard errors the sample mean is away from the population mean.

Knowing the z-score, we can determine how unusual it is for the sample mean to be at least 6.5.

**Calculation Example:**

1. Plug in the values to calculate the z-score.
2. Interpret the z-score based on standard normal distribution values to determine if the result is unusual.

Ultimately, check the given answer choices, where the correct understanding of the z-score will help you identify if having a sample mean of 6.5 is unusual or not based on how far it lies from the mu in terms of standard deviations (z-scores).
Transcribed Image Text:**Consider the Following Scenario:** According to the Official Stage Magician Handbook, magic rabbit weight (lbs.) is normally distributed with a mean (μ) of 6.2 and a standard deviation (σ) of 1.5. **Problem Statement:** Consider obtaining a random sample of 17 magic rabbits. Would it be unusual for the sample mean to be at least 6.5? Why or why not? **Answer Choices:** 1. ○ Yes, because the z-score corresponding to a sample mean of 6.5 would be z = 0.82. 2. ○ No, because the z-score corresponding to a sample mean of 6.5 would be z = 0.20. 3. ○ Yes, because the z-score corresponding to a sample mean of 6.5 would be z = 0.20. 4. ○ No, because the z-score corresponding to a sample mean of 6.5 would be z = 0.82. **Explanation of the Problem:** To determine whether it is unusual for the sample mean to be at least 6.5, we need to find the z-score for the sample mean. The z-score can be calculated using the formula for the z-score of a sample mean: \[ z = \frac{\bar{x} - \mu}{\sigma / \sqrt{n}} \] Where: - \(\bar{x}\) is the sample mean (6.5 in this case) - \(\mu\) is the population mean (6.2) - \(\sigma\) is the population standard deviation (1.5) - \(n\) is the sample size (17) The z-score tells us how many standard errors the sample mean is away from the population mean. Knowing the z-score, we can determine how unusual it is for the sample mean to be at least 6.5. **Calculation Example:** 1. Plug in the values to calculate the z-score. 2. Interpret the z-score based on standard normal distribution values to determine if the result is unusual. Ultimately, check the given answer choices, where the correct understanding of the z-score will help you identify if having a sample mean of 6.5 is unusual or not based on how far it lies from the mu in terms of standard deviations (z-scores).
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