A national travel association with over 3,000 members selected a random sample of 100 members of the association. The selected members were asked to report the number of miles they traveled on their last vacation. The mean and standard deviation of the responses were 150 miles and 40 miles, respectively. A graph of the sample data displayed a right skew. The association will construct a confidence interval to estimate the mean number of miles traveled for all members. Have the conditions for inference been met? A Yes. All conditions for inference have been met. No. The distribution of sample data was not approximately normal. No. The sample size was greater than 10% of the population size. No. The sample was not selected at random. No. The sample consisted only of members of the travel association.
A national travel association with over 3,000 members selected a random sample of 100 members of the association. The selected members were asked to report the number of miles they traveled on their last vacation. The mean and standard deviation of the responses were 150 miles and 40 miles, respectively. A graph of the sample data displayed a right skew. The association will construct a confidence interval to estimate the mean number of miles traveled for all members. Have the conditions for inference been met? A Yes. All conditions for inference have been met. No. The distribution of sample data was not approximately normal. No. The sample size was greater than 10% of the population size. No. The sample was not selected at random. No. The sample consisted only of members of the travel association.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Step 1
Sample size, n =100.
Sample mean=150
Standard deviation=40.
The necessary assumptions and conditions for confidence interval are:
- Independence assumption: The sample values must be independent of each other.
- Randomization condition: the data must be sampled randomly.
- 10% condition: when the sample is drawn without replacement, the sample size, should not be more than 10% of the population.
- Sample size condition: the sample size must be sufficiently large.
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