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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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For this discussion, you will use two separate groups to create two population mean estimates. Ask a group of friends how much time (in hours) they spent on social media throughout the previous day. Divide this group into two subgroups (you must have at least 10 samples in each subgroup), and calculate the mean and standard deviation for both. Use the appropriate formula to construct a confidence interval to estimate the population mean. Then develop a main response in which you address the following:

Present the confidence intervals you constructed from both subgroups (samples).
Compare and contrast these.
Relate the similarities and differences to the samples.
- How do the groups differ?
- How does the data differ between them?
- How does this relate to the confidence intervals constructed from each?
Discuss which you feel is a more accurate estimate of the population mean and why.

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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