Here are the essential concepts you must grasp in order to answer the question correctly.
Confidence Interval
A confidence interval is a range of values, derived from sample statistics, that is likely to contain the population parameter with a specified level of confidence. For example, a 99% confidence interval suggests that if we were to take many samples and construct intervals, approximately 99% of those intervals would contain the true population mean.
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Introduction to Confidence Intervals
Sample Size Determination
Sample size determination involves calculating the number of observations needed in a sample to achieve a desired level of precision for estimates. In this context, it requires using the population standard deviation, the desired margin of error (2 minutes), and the confidence level (99%) to ensure the estimate is statistically valid.
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Coefficient of Determination
Standard Deviation
Standard deviation is a measure of the amount of variation or dispersion in a set of values. In the context of estimating the mean winning time, the population standard deviation provides insight into how much individual winning times vary from the mean, which is crucial for calculating the sample size needed for the confidence interval.
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Calculating Standard Deviation