Using your knowledge of Excel, calculate the total rainfall per month for each of the 24 months. The formula for this variable will be:Monthly Rainfall = (Mean Daily Rain) × (Days per Month)The Excel formula for the minimum of the monthly rainfall is: options: =COL(D)Minvalue(*) sort(D):min(D)Val =sort(D2:D25) =min(D2:D25) =FindMin(Mean Daily Rain*Days per Month) ABMonthDays per monthMean Daily Rain (mm)2 January3 February3132934 March31185 April6 Мay303031657 June8 July9 August30863189318810 September308811 October315712 November303213 December31414 January31215 February28216 March311717 April18 May3029316519 June308520 July21 August22 September31893187308723 October315724 November303125 December313

The formula to find monthly rainfall is mean daily rain*days per month.

Answered: Using your knowledge of Excel,…

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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Question

Using your knowledge of Excel, calculate the total rainfall per month for each of the 24 months. The formula for this variable will be:

Monthly Rainfall = (Mean Daily Rain) × (Days per Month)

The Excel formula for the minimum of the monthly rainfall is:

options:

	=COL(D)Minvalue(*)
	sort(D):min(D)Val
	=sort(D2:D25)
	=min(D2:D25)
	=FindMin(Mean Daily Rain*Days per Month)

A
B
Month
Days per month
Mean Daily Rain (mm)
2 January
3 February
31
3
29
3
4 March
31
18
5 April
6 Мay
30
30
31
65
7 June
8 July
9 August
30
86
31
89
31
88
10 September
30
88
11 October
31
57
12 November
30
32
13 December
31
4
14 January
31
2
15 February
28
2
16 March
31
17
17 April
18 May
30
29
31
65
19 June
30
85
20 July
21 August
22 September
31
89
31
87
30
87
23 October
31
57
24 November
30
31
25 December
31
3

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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