can you explain how the mean age at the bottom was computed? how do you compute mean age? Table 2.3. Absolute Frequency of Apis mellifera house bees across monthsClassAgeMonths(days)JanuaryFebruaryMarchAprilMayJuneJulyAugust11-7481219161178-1411101414121315-21181311110TOTAL3030303030303030Table 2.4. Relative Frequency and Mean Age of Apis mellifera house beesacross monthsClass AgeMonths(days)January FebruaryMarchAprilMayJuneJulyAugust11-713%27%40%63 %53%40%23 %23%28-1427%30%37%33 %47%43%40%43 %315-2160%43 %23%3%0%17%37%33%ТOTAL100100100100100100100100Mean Age16136712127.co

We have given absolute Frequency data : We have to calculate mean for every month and relative…

Answered: Table 2.3. Absolute Frequency of Apis…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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can you explain how the mean age at the bottom was computed? how do you compute mean age?

Table 2.3. Absolute Frequency of Apis mellifera house bees across months
Class
Age
Months
(days)
January
February
March
April
May
June
July
August
1
1-7
4
8
12
19
16
11
7
8-14
11
10
14
14
12
13
15-21
18
13
1
11
10
TOTAL
30
30
30
30
30
30
30
30
Table 2.4. Relative Frequency and Mean Age of Apis mellifera house bees
across months
Class Age
Months
(days)
January February
March
April
May
June
July
August
1
1-7
13%
27%
40%
63 %
53%
40%
23 %
23%
2
8-14
27%
30%
37%
33 %
47%
43%
40%
43 %
3
15-21
60%
43 %
23%
3%
0%
17%
37%
33%
ТOTAL
100
100
100
100
100
100
100
100
Mean Age
16
13
6
7
12
12
7.
co

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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