Mean, variance, standard deviation, & z-scores: {5, 7, 7, 5, 5}{7, 7, 11, 7, 10}N=5 1. Report the number of hours you spent looking at a device last week and the Hdate for each. (If the number of hours you spent looking at a device is exactlythe same for each day last week, please change two of the numbers just sothere is some variability among the scores, and indicate which scores youchanged in this way.)2. Compute the mean of the number of hours you spent looking at a device in(1) above.3. Compute the variance of the number of hours you spent looking at a device inole (1) above. elugmo4. Compute the standard deviation of the number of hours you spent looking at adevice in (1) above.5. Compute the z-scores for each of the original N=5 scores in (1) above.7,7,11, 7, 10{ (10/12-10/1iG)N=5equo to 1edmun orit S(eteagidsnav ow E Nool Let's start by doing this for the number of hours of sleep you got last week fromMonday, October 12 through Friday, October 16 (N=5):(1)1. Report the number of hours of sleep you got last week and the date for each.(If you slept the same number of hours for each of these nights, pleasechange one of the numbers just so there is some variability among thescores, and indicate which number you changed in this way.)2. Compute the mean of the number of hours of sleep you got in (1) above.3. Compute the variance of the number of hours of sleep you got in (1) above.4. Compute the standard deviation of the number of hours of sleep you got in (1)5above.5. Compute the z-scores for each of the original N=5 scores in (1) above.wel a bbs nsdhiXB V erli no OD of qu vew eri lie op of eve0inob

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Description: Mean, variance, standard deviation, & z-scores: {5, 7, 7, 5, 5}{7, 7, 11, 7, 10}N=5 1. Report the number of hours you spent looking at a device last week and the Hdate for each. (If the number of hours you spent looking at a device is exactlythe same

(a) Given data provides number of hours spent looking at a device is exactly same for each day of…

Answered: 1. Report the number of hours you spent…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Mean, variance, standard deviation, & z-scores: {5, 7, 7, 5, 5} {7, 7, 11, 7, 10} N=5

1. Report the number of hours you spent looking at a device last week and the H
date for each. (If the number of hours you spent looking at a device is exactly
the same for each day last week, please change two of the numbers just so
there is some variability among the scores, and indicate which scores you
changed in this way.)
2. Compute the mean of the number of hours you spent looking at a device in
(1) above.
3. Compute the variance of the number of hours you spent looking at a device in
ole (1) above. elugmo
4. Compute the standard deviation of the number of hours you spent looking at a
device in (1) above.
5. Compute the z-scores for each of the original N=5 scores in (1) above.
7,7,11, 7, 10{ (10/12-10/1iG)N=5
equo to 1edmun orit S
(ete
agidsnav ow E Nool

Let's start by doing this for the number of hours of sleep you got last week from
Monday, October 12 through Friday, October 16 (N=5):
(1)
1. Report the number of hours of sleep you got last week and the date for each.
(If you slept the same number of hours for each of these nights, please
change one of the numbers just so there is some variability among the
scores, and indicate which number you changed in this way.)
2. Compute the mean of the number of hours of sleep you got in (1) above.
3. Compute the variance of the number of hours of sleep you got in (1) above.
4. Compute the standard deviation of the number of hours of sleep you got in (1)
5
above.
5. Compute the z-scores for each of the original N=5 scores in (1) above.
wel a bbs nsdh
iXB V erli no OD of qu vew eri lie op of eve0inob

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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