Graph this data in excel using a statistical test with Count, mean, standard deviation, standard error, Basic statistical summaries: Degrees of freedomT-test, chi-squared test, F-test as needed.Probability 5 second rule experimentGroup 1Dry food, 36 bacterial colonies (5 seconds)Dry food, 40 bacterial colonies (4 seconds)Moist food 58 colonies (1 second)Moist food 60 colonies (3 seconds)Group 2Dry food, 50 colonies (3 seconds)Dry food, 43 colonies (5 seconds)Moist food 70 colonies (2 second)Moist food 68 colonies (2 seconds)Group 3Dry, 23 colonies (1 seconds)Dry, 39 colonies (3 seconds)Moist 66 colonies (2 second)Moist 54 colonies (2 seconds)Group 4Dry, 43 colonies (5 seconds)Dry, 42 colonies (5 seconds)Moist 56 colonies (5 second)Moist 50 colonies (5 seconds)Group 5Dry, 33 colonies (4 seconds)Dry, 45 colonies (3 seconds)Moist 78 colonies (3 second)Moist 60 colonies (1 seconds)

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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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Graph this data in excel using a statistical test with Count, mean, standard deviation, standard error, Basic statistical summaries: Degrees of freedomT-test, chi-squared test, F-test as needed. Probability

5 second rule experiment
Group 1
Dry food, 36 bacterial colonies (5 seconds)
Dry food, 40 bacterial colonies (4 seconds)
Moist food 58 colonies (1 second)
Moist food 60 colonies (3 seconds)
Group 2
Dry food, 50 colonies (3 seconds)
Dry food, 43 colonies (5 seconds)
Moist food 70 colonies (2 second)
Moist food 68 colonies (2 seconds)
Group 3
Dry, 23 colonies (1 seconds)
Dry, 39 colonies (3 seconds)
Moist 66 colonies (2 second)
Moist 54 colonies (2 seconds)
Group 4
Dry, 43 colonies (5 seconds)
Dry, 42 colonies (5 seconds)
Moist 56 colonies (5 second)
Moist 50 colonies (5 seconds)
Group 5
Dry, 33 colonies (4 seconds)
Dry, 45 colonies (3 seconds)
Moist 78 colonies (3 second)
Moist 60 colonies (1 seconds)

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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