Which of the following statements are true? There may be more than one true statement; check all that are true. Question 11 options: a) The only reason to carry out an observational study instead of an experiment is if we do not have enough money to run the experiment. b) The variance of the sample mean depends on the sample size and the population variance. c) For large sample sizes, the sample mean will tend to have a normal distribution, whereas for small sample sizes it will tend to have a uniform distribution. d) Randomization can be a useful tool in statistical studies, but only for large sample sizes.

observational studies, experiments, variance, sample mean, and randomization in order to respond.…

Answered: Which of the following statements are…

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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Which of the following statements are true?

There may be more than one true statement; check all that are true.

Question 11 options:

a)	The only reason to carry out an observational study instead of an experiment is if we do not have enough money to run the experiment.

b)	The variance of the sample mean depends on the sample size and the population variance.

c)	For large sample sizes, the sample mean will tend to have a normal distribution, whereas for small sample sizes it will tend to have a uniform distribution.

d)	Randomization can be a useful tool in statistical studies, but only for large sample sizes.

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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