Assume that all grade-point averages are to be standardized on a scale between 0 and5.How many grade-point averages must be obtained so that the sample mean is within0.01of the population mean? Assume that a95%confidence level is desired. If using the range rule of thumb,σcan be estimated asrange4=5−04=1.25.Does the sample size seem practical? The required sample size isenter your response here.(Round up to the nearest whole number as needed.)Does the sample size seem practical? A.Yes, because the required sample size is a fairly large number. B.Yes, because the required sample size is a fairly small number. C.No, because the required sample size is a fairly large number. D.No, because the required sample size is a fairly small number. Assume that all grade-point averages are to be standardized on a scale between 0 and 5. How many grade-point averages must be obtained so thatthe sample mean is within 0.01 of the population mean? Assume that a 95% confidence level is desired. If using the range rule of thumb, o can berange5 - 0estimated as4= 1.25. Does the sample size seem practical?4%3DThe required sample size is(Round up to the nearest whole number as needed.)Does the sample size seem practical?A. Yes, because the required sample size is a fairly large number.B. Yes, because the required sample size is a fairly small number.C. No, because the required sample size is a fairly large number.D. No, because the required sample size is a fairly small number.O OO

Given : Margin of error, ME = 0.01 population standard deviation, σ = 1.25…

Answered: Assume that all grade-point averages…

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

Assume that all grade-point averages are to be standardized on a scale between 0 and

How many grade-point averages must be obtained so that the sample mean is within

0.01

of the population mean? Assume that a

95%

confidence level is desired. If using the range rule of thumb,

can be estimated as

range4=5−04=1.25.

Does the sample size seem practical?

The required sample size is

enter your response here.

(Round up to the nearest whole number as needed.)

Does the sample size seem practical?

Yes, because the required sample size is a fairly large number.

Yes, because the required sample size is a fairly small number.

No, because the required sample size is a fairly large number.

No, because the required sample size is a fairly small number.

Assume that all grade-point averages are to be standardized on a scale between 0 and 5. How many grade-point averages must be obtained so that
the sample mean is within 0.01 of the population mean? Assume that a 95% confidence level is desired. If using the range rule of thumb, o can be
range
5 - 0
estimated as
4
= 1.25. Does the sample size seem practical?
4
%3D
The required sample size is
(Round up to the nearest whole number as needed.)
Does the sample size seem practical?
A. Yes, because the required sample size is a fairly large number.
B. Yes, because the required sample size is a fairly small number.
C. No, because the required sample size is a fairly large number.
D. No, because the required sample size is a fairly small number.
O OO

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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