If the standard deviation of the whole national accounting examination is 30 for this year, how large a sample is needed to estimate the true mean score within 5 points with 99% confidence? Assume the population is normally distributed. Round to Two Decimal PlacesBased on the answer above, we need a sample size ofto be withinpoints of theSelect an answer v score and be% confident.Question Help: O Message instructorSubmit Question

Name: If the standard deviation of the whole national accounting examination
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Description: If the standard deviation of the whole national accounting examination is 30 for this year, how large a sample is needed to estimate the true mean score within 5 points with 99% confidence? Assume the population is normally distributed. Round to Two

Solution: From the given information, confidence level is 0.99, σ=0.30 and E=5.

Answered: If the standard deviation of the whole…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

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If the standard deviation of the whole national accounting examination is 30 for this year, how large a sample is needed to estimate the true mean score within 5 points with 99% confidence? Assume the population is normally distributed.

Round to Two Decimal Places
Based on the answer above, we need a sample size of
to be within
points of the
Select an answer v score and be
% confident.
Question Help: O Message instructor
Submit Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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