What Excel formula would you use to find the mean monthly rainfall? =(max(D2:D25)-min(D2:D25))/2 =mean(D2:D25) =median(D2:D25)-(median(D2:D25)-min(D2:D25)) =sum(D2:D25)/count(D2:D25) ) =sum(D2:D25)/n
What Excel formula would you use to find the mean monthly rainfall? =(max(D2:D25)-min(D2:D25))/2 =mean(D2:D25) =median(D2:D25)-(median(D2:D25)-min(D2:D25)) =sum(D2:D25)/count(D2:D25) ) =sum(D2:D25)/n
What Excel formula would you use to find the mean monthly rainfall? =(max(D2:D25)-min(D2:D25))/2 =mean(D2:D25) =median(D2:D25)-(median(D2:D25)-min(D2:D25)) =sum(D2:D25)/count(D2:D25) ) =sum(D2:D25)/n
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)
Transcribed Image Text:What Excel formula would you use to find the mean monthly rainfall?
=(max(D2:D25)-min(D2:D25))/2
=mean(D2:D25)
) =median(D2:D25)-(median(D2:D25)-min(D2:D25))
) =sum(D2:D25)/count(D2:D25)
=sum(D2:D25)/n
Transcribed Image Text:A
B
1
Month
Days per month
Mean Daily Rain (mm)
2 January
31
3
3 February
29
3
4 March
31
18
5 April
6 May
7 June
8 July
9 August
10 September
30
30
31
65
30
86
31
89
31
88
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
30
29
18 May
31
65
19 June
30
85
20 July
31
89
21 August
31
87
22 September
30
87
23 October
31
57
24 November
30
31
25 December
31
26
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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