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In a graduate college, the average length of registration time during a semester is 120 minutes with a standard deviation of 25 minutes. With the introduction of a new registration procedure a random sample of 50 students took an average of 80 minutes with a standard deviation of 12 minutes.

Ask by Martin Luna. in the Philippines
Mar 10,2025

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The new registration procedure significantly reduces the average registration time from 120 minutes to 80 minutes.

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Bonus Knowledge

Did you know that the concept of using standard deviations to measure data spread dates back to the early 19th century? Karl Friedrich Gauss developed the Gaussian distribution (the bell curve) which is fundamental in statistics. The use of such measures helps institutions understand variances better, paving the way for improved methodologies over time. In the real world, efficient registration processes can significantly enhance student satisfaction and retention rates. Universities that have streamlined their registration procedures often see higher enrollment numbers and better overall experiences in both online and in-person interactions. So, not only does it save time, but it also creates a more positive campus atmosphere!

Related Questions

Question 12(Mulliple Choice Warth 5 points) \[ (04.06 \mathrm{HC}) \] A researcher wants to test the claim that the proportion of juniors who watch television regularly is greater than the proportion of seniors who watch television regularly She finds that 56 of 70 randomly selected juniors and 47 of 85 randomly selected seniors report watching television regularly. Construct \( 95 \% \) confidence intervals for each population proportion. Which of the statemente gives the correct outcome of the research or's tert of the dalim? The \( 95 \% \) confidence interval for juniors is (706, 894), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is (721, 879), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( 706,894 ), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( \( 721, .879 \) ), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors.

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