Answered: Scores for a common standardized…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Scores for a common standardized college aptitude test are normally distributed with a mean of 510 and a standard deviation of 115. Randomly selected men are given a Preparation Course before taking this test. Assume, for sake of argument, that the Preparation Course has no effect on people's test scores.

If 1 of the men is randomly selected, find the probability that his score is at least 562.9.
P(X > 562.9) =
Enter your answer as a number accurate to 4 decimal places.

If 8 of the men are randomly selected, find the probability that their mean score is at least 562.9.
P(x-bar > 562.9) =
Enter your answer as a number accurate to 4 decimal places.

If the random sample of 8 men does result in a mean score of 562.9, is there strong evidence to support a claim that the Preparation Course is actually effective? (Use the criteria that "unusual" events have a probability of less than 5%.)

Yes. The probability indicates that is highly unlikely that by chance, a randomly selected group of students would get a mean as high as 562.9 if the Preparation Course has no effect.

No. The probability indicates that is possible by chance alone to randomly select a group of students with a mean as high as 562.9 if the Preparation Course has no effect.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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