A group of statistics students decided to conduct a survey at their university to find the average (mean) amount of time students spent studying per week. Assuming a population standard deviation of twenty three hours, what is the required sample size if the error should be less than three hours with a 95% level of confidence?
Question
A group of statistics students decided to conduct a survey at their university to find the average (mean) amount of time students spent studying per week. Assuming a population standard deviation of twenty three hours, what is the required sample size if the error should be less than three hours with a 95% level of confidence?
Solution
To determine the required sample size, we can use the formula for the sample size of a population mean when the population standard deviation is known. The formula is:
where:
- is the sample size,
- is the Z-value corresponding to the desired confidence level,
- is the population standard deviation,
- is the margin of error.
Given:
- Population standard deviation () = 23 hours,
- Margin of error () = 3 hours,
- Confidence level = 95%.
First, we need to find the Z-value for a 95% confidence level. The Z-value for a 95% confidence level is approximately 1.96.
Now, we can plug these values into the formula:
Calculate the numerator:
Now, divide by the margin of error:
Finally, square the result:
Since the sample size must be a whole number, we round up to the next whole number:
Therefore, the required sample size is 226 students.
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