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A study of a local high school tried to determine the mean amount of money that each student had saved. The study surveyed a random sample of 74 students in the high school and found a mean savings of 4500 dollars with a standard deviation of 1300 dollars. At the 
95% confidence level, use the normal distribution/empirical rule to estimate the margin of error for the mean, rounding to the nearest whole number. (Do not write 
+- ).
Answer:

A study of a local high school tried to determine the mean amount of money that each student had saved. The study surveyed a random sample of 7474 students in the high school and found a mean savings of 45004500 dollars with a standard deviation of 13001300 dollars. At the 95% 95 \% confidence level, use the normal distribution/empirical rule to estimate the margin of error for the mean, rounding to the nearest whole number. (Do not write ± \pm ).\newlineAnswer:

Full solution

Q. A study of a local high school tried to determine the mean amount of money that each student had saved. The study surveyed a random sample of 7474 students in the high school and found a mean savings of 45004500 dollars with a standard deviation of 13001300 dollars. At the 95% 95 \% confidence level, use the normal distribution/empirical rule to estimate the margin of error for the mean, rounding to the nearest whole number. (Do not write ± \pm ).\newlineAnswer:
  1. Identify Given Values: Identify the given values from the problem.\newlineWe are given:\newline- Mean savings (xˉ\bar{x}) = \(4500\)\(\newline\)- Standard deviation (\(s\)) = 13001300\newline- Sample size (nn) = 7474\newline- Confidence level = 9595%
  2. Determine Confidence Level: Determine the z-score that corresponds to the 95%95\% confidence level.\newlineFor a 95%95\% confidence level, the z-score that corresponds to the confidence interval is approximately 1.961.96. This is because 95%95\% of the data falls within 1.961.96 standard deviations from the mean in a normal distribution.
  3. Calculate Margin of Error: Calculate the margin of error using the formula for the margin of error at a given confidence level.\newlineThe margin of error (E) is calculated using the formula:\newlineE=z×sn E = z \times \frac{s}{\sqrt{n}} \newlinewhere z z is the z-score, s s is the standard deviation, and n n is the sample size.
  4. Calculate Margin of Error: Plug in the values and calculate the margin of error.\newlineE=1.96×130074 E = 1.96 \times \frac{1300}{\sqrt{74}} \newlineE=1.96×13008.6023 E = 1.96 \times \frac{1300}{8.6023} (rounded to four decimal places for the square root of 7474)\newlineE=1.96×151.1365 E = 1.96 \times 151.1365 (rounded to four decimal places for the division)\newlineE=296.2275 E = 296.2275
  5. Round Margin of Error: Round the margin of error to the nearest whole number.\newlineThe margin of error rounded to the nearest whole number is 296296.

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