The estimated mean in Rand is: R45.750The median in Rand is approximately: R45.714The mode in Rand is R50.769Calculate the 80th percentile in Rand? For this question refer to the grouped frequency distribution shown in Table 2, in which the salaries (InR'000s) of 40 employees of a major firm are presented.CLASSFreq., fCum. Freq.Midpoint, x020406080< 20< 40< 60< 80< 100Totals >>9748210916303840----1030507090x²100900250049008100Σx²= Afx90210700560270Σfx = Bfx²900630035000C=16200Efx2=97600

The percentile is the measure which divides the entire data set into 100 equal parts. Here 99…

Answered: For this question refer to the grouped…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Problem 1P

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The estimated mean in Rand is: R45.750

The median in Rand is approximately: R45.714

The mode in Rand is R50.769

Calculate the 80th percentile in Rand?

For this question refer to the grouped frequency distribution shown in Table 2, in which the salaries (In
R'000s) of 40 employees of a major firm are presented.
CLASS
Freq., f
Cum. Freq.
Midpoint, x
0
20
40
60
80
< 20
< 40
< 60
< 80
< 100
Totals >>
9748210
9
16
30
38
40
----
10
30
50
70
90
x²
100
900
2500
4900
8100
Σx²= A
fx
90
210
700
560
270
Σfx = B
fx²
900
6300
35000
C=
16200
Efx2=
97600

Definition Definition Measure of central tendency that is the value that occurs most frequently in a data set. A data set may have more than one mode if multiple categories repeat an equal number of times. For example, in a data set with five item—3, 5, 5, 29, 473—the mode is 5 because it occurs twice and no other value occurs more than once. On a histogram or bar chart, the element with the highest bar represents the mode. Therefore, the mode is sometimes considered the most popular option. The mode is useful for nominal or categorical data (e.g., the most common color car that users purchase), but it is problematic for continuous data because it is more likely not to have any value that is more frequent than the other.

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