A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 1234 and 120 respectively. The standard error of the mean is O a 1234 ± 120. b. 120. c. 1.2. Od. 12.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Question 16:**

A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 50 and 5, respectively. The standard error of the mean is:

- a. 0.5
- b. 2
- c. 5
- d. 10

**Question 17:**

A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 1234 and 120, respectively. The standard error of the mean is:

- a. 1234 ± 120
- b. 120
- c. 1.2
- d. 12

**Question 18:**

A population has a standard deviation of 16. If a sample of size 64 is selected from this population, what is the probability that the sample mean will be within ±2 of the population mean? 

*Note: The questions seem to focus on statistical concepts such as the standard error of the mean and probability distributions in relation to sample sizes.*
Transcribed Image Text:**Question 16:** A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 50 and 5, respectively. The standard error of the mean is: - a. 0.5 - b. 2 - c. 5 - d. 10 **Question 17:** A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 1234 and 120, respectively. The standard error of the mean is: - a. 1234 ± 120 - b. 120 - c. 1.2 - d. 12 **Question 18:** A population has a standard deviation of 16. If a sample of size 64 is selected from this population, what is the probability that the sample mean will be within ±2 of the population mean? *Note: The questions seem to focus on statistical concepts such as the standard error of the mean and probability distributions in relation to sample sizes.*
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