A sample of 15 small bags of the same brand of candies was selected. Assume that the population distribution of bag weights is normal. The weight of each bag was then recorded. The me weight was 2 ounces with a standard deviation of 0.12 ounces. The population standard deviation known to be 0.1 ounce. NOTE: If you are using a Student's t-distribution, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) O Part (a) (i) x= (ii) o= (ii) s, = (iv) n=| (v) n-1= O Part (b) O Part (c) O Part (d)

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### Understanding Sampling Distribution

A sample of 15 small bags of the same brand of candies was selected. Assume that the population distribution of bag weights is normal. Each bag's weight was recorded. The mean weight was 2 ounces with a standard deviation of 0.12 ounces. The population standard deviation is known to be 0.1 ounce.

**NOTE:** When using a Student's t-distribution, assume the underlying population is normally distributed. Normally, you should first confirm this assumption.

#### Part (a)

1. \(\bar{x} =\) [Mean of the sample]
2. \(\sigma =\) [Population standard deviation]
3. \(s_x =\) [Sample standard deviation]
4. \(n =\) [Sample size]
5. \(n - 1 =\) [Degrees of freedom]

#### Part (b)
- Explanation not provided.

#### Part (c)
- Explanation not provided.

#### Part (d)

**Choosing the Distribution**

- Which distribution should you use for this problem? (Round your answers to three decimal places.)

\[\bar{X} \sim \left( [Mean], [Standard Error] \right)\]

**Explain Your Choice:**

- The correct option is:
  - The standard normal distribution should be used because the population standard deviation is known.

**Explanation:**

- Although both the population and sample standard deviations are given, using the standard normal distribution will result in a more accurate interval.

#### Part (e)
- Explanation not provided.

This example emphasizes the importance of identifying the correct distribution to use when the population standard deviation is known. By understanding and practicing such scenarios, one can make more accurate statistical inferences.
Transcribed Image Text:### Understanding Sampling Distribution A sample of 15 small bags of the same brand of candies was selected. Assume that the population distribution of bag weights is normal. Each bag's weight was recorded. The mean weight was 2 ounces with a standard deviation of 0.12 ounces. The population standard deviation is known to be 0.1 ounce. **NOTE:** When using a Student's t-distribution, assume the underlying population is normally distributed. Normally, you should first confirm this assumption. #### Part (a) 1. \(\bar{x} =\) [Mean of the sample] 2. \(\sigma =\) [Population standard deviation] 3. \(s_x =\) [Sample standard deviation] 4. \(n =\) [Sample size] 5. \(n - 1 =\) [Degrees of freedom] #### Part (b) - Explanation not provided. #### Part (c) - Explanation not provided. #### Part (d) **Choosing the Distribution** - Which distribution should you use for this problem? (Round your answers to three decimal places.) \[\bar{X} \sim \left( [Mean], [Standard Error] \right)\] **Explain Your Choice:** - The correct option is: - The standard normal distribution should be used because the population standard deviation is known. **Explanation:** - Although both the population and sample standard deviations are given, using the standard normal distribution will result in a more accurate interval. #### Part (e) - Explanation not provided. This example emphasizes the importance of identifying the correct distribution to use when the population standard deviation is known. By understanding and practicing such scenarios, one can make more accurate statistical inferences.
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