Statistics for Management: Earning, Growth, and Data Analysis Report

This statistics assignment for management provides a comprehensive analysis of financial data, focusing on earning trends and growth rates in both public and private sectors. The assignment includes calculations of mean, median, and mode, along with the use of various charts like bar charts, pie charts, and line charts to represent data effectively. The report examines the earnings of both men and women over several years, comparing their performance in different sectors and calculating growth rates. It also covers data representation techniques, strengths and weaknesses of statistical measures, and a detailed discussion on the analysis of different techniques to reach perfect solutions. The assignment concludes with an evaluation of average house prices and a summary of the findings, offering a complete overview of statistical analysis and its application in management.

Statistics for Management

Table of Contents
INTRODUCTION...........................................................................................................................1
TASK 1............................................................................................................................................1
a): Determination of earning of both men and women from various organisation ...............1
b): Earning of men and women in private as well as public sectors......................................3
C): Time earning chart............................................................................................................5
d): Growth rate.......................................................................................................................6
TASK 2............................................................................................................................................8
Section A................................................................................................................................8
2.1:Representation of data .....................................................................................................8
2.2 (I):Strength and weakness of using measure....................................................................9
2.2 (II): Measure of dispersion.............................................................................................10
2.3 Preparation of report.......................................................................................................11
Section B..............................................................................................................................12
2.4 Line charts to determine relationship among age and weight........................................13
TASK 3..........................................................................................................................................14
Calculation: ..........................................................................................................................14
TASK 4..........................................................................................................................................16
4.1: I) Bar chart.....................................................................................................................16
4.1:(II) Pie-chart...................................................................................................................17
4.2: Consideration of two average price of bedroom houses...............................................18
CONCLUSION..............................................................................................................................19
REFERENCES..............................................................................................................................20

INTRODUCTION
Statistics is a branch of numerical dealing with the collection, interpretation, analysis and
summarising of financial data. Under the process of statistic which consists of different steps that
is needed to be performed by an organisation. With the help of this information every outcomes
will be collected in order to attain business aims and objectives. It is important to have corrective
data by which positive results can be generated with the available resources. The primary
objectives of these data is to reach out a solution which is essential for making company's to
increase their outcomes (Factor Analysis, 2017). The project report consists of different task that
explains the nature and scope of numerical data from various sources. Several charts and graphs
is being used to evaluated data. Analysis of different techniques for perfect analysis. Use of
qualitative and quantitative information is also discussed under this project report. Few effective
tools are also explained in order to reached at perfect solution.
TASK 1
a): Determination of earning of both men and women from various organisation
Earning are the amount of gain that a company produce at particular period of time. It is
basically define as a quarter or annual. It has been seen in every organisation, that employees are
performing there work with the motive to earn maximum profit. In order to deliver their work
they get annual earning from the total earning generated by company during the year. Such
amount is earned at the end of financial year. Total gross income is the amount of fund an
individual or employees gain during the year of time. It is an total pay before accounting for
taxes or other essential deductions. At an organisational level, it is companies total revenue is
deducted out of COGS. It is more effective at the time of preparing an income tax return in an
accounting year. In identifying the total gross earning, the exact amount of income paid to
employees multiply it with hourly wages by total number of working hours in a weak (Curtis,
Kim and Yalagandula, 2011).
Gross annual earnings: Total sum of income generated in a financial year. It is the
amount of cash an individual earns in an accounting year. The mention earnings of men in both
public and private sectors is tested by making proper hypothesis on the earnings of men and
women.
1

For Male
Year Public sector Private sectors Changes
2009 30638000 27362000 3276000
2010 31264000 27000000 4264000
2011 31380000 27233000 4147000
2012 31816000 27705000 4111000
2013 32541000 28201000 4340000
2014 32878000 28442000 4436000
2015 33685000 28881000 4804000
2016 34011000 29679000 4332000
1 2 3 4 5 6 7 8
0
1000000
2000000
3000000
4000000
5000000
6000000
3276000
4264000 4147000 4111000 4340000 4436000
4804000
4332000
Bar charts
Annual earnings of male
Changes
From the above information about total earning of men during coming years is shown
through using bar chart. After preparing, it has been found that they are getting sufficient amount
of earnings in every year. The company whether public or private they are providing them
effective amount as a gross earning in every time. It has been seen that in 2015, the earning was
higher than usually they getting. The overall results is effective enough in accordances with men
earnings. The mean earning is collected from 1000 respondents as a research outcomes.
2

For Female
Year Public sector Private sectors Changes
2009 25224000 19551000 5673000
2010 26113000 19532000 6581000
2011 26470000 19565000 6905000
2012 26636000 20313000 6323000
2013 27338000 20698000 6640000
2014 27705000 21017000 6688000
2015 27900000 21403000 6497000
2016 28053000 22251000 5802000
1 2 3 4 5 6 7 8
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
5673000
6581000 6905000
6323000 6640000 6688000 6497000
5802000
column chart
Gross annual earnings of women
Changes
According to the above chart, it has been showing gross total earnings of women during
various years. The result is more effect as compare to men is taken into consideration by using
1000 respondents as total sample size (Hickman and Reaves, 2012). From stating times they are
getting timely earning with maximum advantages. The earnings of women is more as compare to
men. They are receiving more facilities those are provided by public and private company's in
order to increase there profitability as well as efficiency.
3

b): Earning of men and women in private as well as public sectors
According to the information provided under the case, it has been found that earning
collected from public sector organisation is determine by testing hypothesis. Similarly, in case of
women in the private sectors they are receiving earnings are examine through using effective
research with the help of charts.
For Public sector
Year male female Difference
2009 30638000 25224000 5414000
2010 31264000 26113000 5151000
2011 31380000 26470000 4910000
2012 31816000 26636000 5180000
2013 32541000 27338000 5203000
2014 32878000 27705000 5173000
2015 33685000 27900000 5785000
2016 34011000 28053000 5958000
1 2 3 4 5 6 7 8
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
5414000 5151000 4910000 5180000 5203000 5173000
5785000 5958000
Line chart
Earnings of men and women from public sector
Difference
Linear (Difference)
From the above line chart, it has been seen that x-axis consists of years and on y-axis
consists of earnings which is received by men and women from public sectors organisation. The
outcomes are showing increasing growth in the earning of both men and women. The straight
4

line represented because of determine exact ups and down in the earning of both. The public
company is targeting to increase there operations by making extra amount so that early results
can be generated.
5

For private sector
Year male female Difference
2009 27362000 19551000 7811000
2010 27000000 19532000 7468000
2011 27233000 19565000 7668000
2012 27705000 20313000 7392000
2013 28201000 20698000 7503000
2014 28442000 21017000 7425000
2015 28881000 21403000 7478000
2016 29679000 22251000 7428000
1 2 3 4 5 6 7 8
7100000
7200000
7300000
7400000
7500000
7600000
7700000
7800000
7900000
7811000
7468000
7668000
7392000
7503000
7425000
7478000
7428000
Line chart
Earning of men and women from private sector
Difference
From the above line charts, it has been seen that earnings of men and women from
private sector organisation is fluctuating (McNeil, Frey and Embrechts, 2015). The total number
of respondents are used under this is around 1000. In the initial stage they are decreasing and
then after starts increasing at a constant rate. The chart is prepared by using collective
information about both men and women. It will be helpful in attaining the demand which can be
meet out with earnings and company can grow at faster rate.
6

C): Time earning chart
7

For male:
1 2 3 4 5 6 7 8
0
5000000
10000000
15000000
20000000
25000000
30000000
35000000
40000000
Time earning chart
For male
Year
Public sector
Private sectors
Year: 2009 to 2016
For Women:
1
2
3
4
5
6
7
8
0 5000000 1000000015000000200000002500000030000000
25224000
26113000
26470000
26636000
27338000
27705000
27900000
28053000
19551000
19532000
19565000
20313000
20698000
21017000
21403000
22251000
Earning chart
For Women
Private sectors
Public sector
Year
Year: 2009 to 2016
d): Growth rate
In male earning for the public sector
8

Year Public sector Growth rate
2009 30638000 2.043214309
2010 31264000 0.3710337769
2011 31380000 1.3894200127
2012 31816000 2.2787276842
2013 32541000 1.0356166067
2014 32878000 2.4545288643
2015 33685000 0.9677898174
2016 34011000 0
For private sector growth rate:
Year Private sectors Growth rate
2009 27362000
-
1.3230027045
2010 27000000 0.862962963
2011 27233000 1.7331913487
2012 27705000 1.7902905613
2013 28201000 0.8545796248
2014 28442000 1.5434920188
2015 28881000 2.7630622208
2016 29679000 0
From the above information, it has been seen that earning from both public and private
sector in case of male are represented through growth rate. The earning growth rate in public
sector company is perfect in 2009. Then after, it decreases and after that started to rise. Like, in
private sector the same rate growth is observe.
Growth earning for female in public sector :
Year Public sector Growth rate
2009 25224000 3.5244211862
2010 26113000 1.3671351434
2011 26470000 0.6271250472
2012 26636000 2.6355308605
9

2013 27338000 1.3424537274
2014 27705000 0.7038440715
2015 27900000 0.5483870968
2016 28053000 0
Earning from private sector:
Year Private sectors Growth rate
2009 19551000
-
0.0971817298
2010 19532000 0.1689535122
2011 19565000 3.8231535906
2012 20313000 1.8953379609
2013 20698000 1.5412117113
2014 21017000 1.8366084598
2015 21403000 3.9620613933
2016 22251000 0
In case of female, the growth rate of female earning is more positive in public sector from
the starting period. While, from private sector they are not getting that much return as compare to
private company.
TASK 2
Section A
2.1:Representation of data
Marks Number
20 to 30 3
30 to 40 11
40 to 50 19
50 to 60 9
60 to 70 5
70 to 80 3
10