A sample of n=4 scores is selected from a population with m=50 and standard deviation of 12. If the sample mean is M=56, what is the z-score for this sample mean? ltiple Choicentify the choice that best completes the statement or answers the question.1. Samples of size n 9 are selected from a population with = 80 with o= 18. What is the expectedvalue for the distribution of sample means?a. 6b.c. 80/3d.) 80182. A sample of n = 4 scores is selected froma population with uM=56, what is the z-score for this sample mean?50 and o= 12. If the sample mean isa. 0.50b. 1.00c. 2.00d. 4.003. For a normal population with a mean of u= 80 and a standard deviation of o- 10, what is theprobability of obtaining a sample mean greater than M 75 for a sample of n = 25 scores?a. p 0.0062b. p 0.993811C. p 0.3085d. p 0.69151t Answer6, describe the shape, the mean, and the standard deviation forFor a population with u= 50 and othe distribution of sample means for each of the following:a. Samples ofn = 4.b. Samples of n = 36.4.5. Find the z-score for the sample mean for each of the following samples obtained from a populationwith 50 and o 12.4M= 56 for a sample of n

It is given that the mean and standard deviation are 50 and 12, respectively.

Answered: ltiple Choice ntify the choice that…

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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A sample of n=4 scores is selected from a population with m=50 and standard deviation of 12. If the sample mean is M=56, what is the z-score for this sample mean?

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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