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1
LAB FILE
ON
“Research Methodology”
Submitted To: Submitted By:
Pg Department of Commerce Name : Sukhchain Aggarwal
Class : B.A.F. 3rd
Roll No. : 9007
2
DECLARATION
I hereby declare that the Workshop on “Research Methodology” is bonafide work done
by ‘Sukhchain Aggarwal’ a student of B.com (Accounting & Finance) 3 rd and is submitted to
“Prof. Harjeet Kaur” in partial fulfillment of the requirement for the degree.
This work has never been submitted to any Educational Institution as per good of my
knowledge.
Sukhchain Aggarwal
B.com (Accounting & Finance) 3rd
9007
3
ACKNOWLEDGEMENT
With great pleasure we are presenting this file on the basis of the “Research Methodology”.
We are highly grateful to “Prof. Bikramjit Singh Sandhu” & “Prof. Harjeet Kaur” for
giving us the time, encouragement and guidance for the report. Their critical and detailed
comments and full support helped and benefited us in carrying out the report.
Thanking you,
Sukhchain Aggarwal
4
CONTENTS
Serial No. Headings Page No.
1 Creating Charts in MS Excel 5
2 Benefits of learning about MS Excel 5
3 Line Chart 7
4 Bar Chart 9
5 Pie Chart 11
6 Bibliography 14
5
Creating Charts in M.S. Excel:
A chart is a visual representation of data, in which the data are represented by symbols
such as bars in a bar chart or lines in a line chart. A chart can represent tabular numeric data,
functions or some kinds of qualitative structures. Microsoft Excel, you can produce charts with a
consistent look by creating a user-defined chart format. This article contains steps you can follow
to create a sample chart, to use that sample chart as the basis for a user-defined chart format, and
to apply that user-defined format to a sample chart.
Benefits of learning about Excel charts:
Whether you deal with scientific or business data, Microsoft Excel is a valuable tool for
storing your information in powerful spreadsheets. When you need to communicate your data or
extrapolate trends, Microsoft Excel has the ability to display your results in a variety of graphical
formats. The user can select a chart type, a chart style and a chart layout. However, there is an art
to achieving maximal visual impact which requires you to choose the format that is best suited to
your needs.
A chart is a graphical representation of your data. If you are new to Microsoft Excel, you
may be unaware of the different chart types and subtypes that are available for use. Available
options include the following:
Column charts - subtypes include clustered column, stacked column, 3-D column and
cylinder, cone, and pyramid charts.
Line charts - subtypes include line with markers, stacked line and stacked line with
markers and 3-D line charts.
Pie charts - subtypes include pie in 3-D, pie of pie, bar of pie and exploded pie charts.
Bar charts - subtypes include clustered bar, stacked bar in 3-D and horizontal cylinder,
cone and pyramid pie charts.
Area charts - subtypes include 2-D area, 3-D area and stacked area charts.
6
XY (scatter) charts - subtypes include scatter with markers, smooth lines or straight
lines.
Stock charts - subtypes include high- low-close, open-high- low-close and volume-high-
low-close charts.
Surface charts - subtypes include 3-D surface, wireframe 3-D surface, and contour and
wireframe contour charts.
Bubble charts - subtypes include bubble and bubble with 3-D effect.
Radar charts - subtypes include radar with markers and filled radar charts.
Training will enable you understand the differences between these various
formats and therefore allow to select the appropriate graph for displaying your data,
whether you are dealing with product inventories, financial figures or scientific research
data. The goal is to create a high impact chart that effectively communicates data to your
intended audience.
Having selected a chart type, modifications may be required to highlight
particular trends, for example. Charts can be customized with pictures, graphics, shapes,
colours, additional shortcuts, fills and labels. There are different options for viewing your
charts whether on paper or on screen. Excel courses will cover ways of manipulating
graphs and how to use these features to best effect.
7
1. LINE CHART
A line chart or line graph is a type of chart which displays information as a series of data
points connected by straight line segments. It is a basic type of chart common in many fields. It
is an extension of a scatter graph, and is created by connecting a series of points that represent
individual measurements with line segments. The Line Chart is equally effective in displaying
trends for multiple series as shown in our chart at right. As you will notice, each line is a
different color. A line chart is often used to visualize a trend in data over intervals of time – a
time series – thus the line is often drawn chronologically. A line chart is typically drawn
bordered by two perpendicular lines, called axes. The horizontal axis is ca lled the x-axis and the
vertical axis is called the y-axis. Typically the y-axis represents the dependent variable and the x-
axis represents the independent variable.. In a Line Chart, the vertical axis (Y-axis) always
displays numeric values and the horizontal axis (X-axis) displays time or other category.
The Line chart is shown with the following example:
8
1. To verify whether a course in accounting improve performance, a similar test was
given to 12 participants, both before & after the course. The original marks are given below:
Table: 1.1 Year
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Before 44 40 61 52 32 44 70 41 67 72 53 72
After 53 38 69 57 46 39 73 48 73 74 60 78
Figures: 1.1
According to this chart, we find that, there is no significance difference in the marks
obtained before and after the course.
4440
61
52
32
44
70
41
6772
53
72
53
38
69
57
46
39
73
48
73 74
60
78
0
10
20
30
40
50
60
70
80
90
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
No
. of S
tud
en
ts
Year
Students Data
Before
After
9
2. BAR CHART
The Bar Chart is like a Column Chart lying on its side. The horizontal axis of a Bar Chart
contains the numeric values. The first chart below is the Bar Chart for our single series, Flowers.
When to use a Bar Chart versus a Column Chart depends on the type of data and user preference.
Sometimes it is worth the time to create both charts and compare the results. However, Bar
Charts do tend to display and compare a large number of series better than the other chart types.
A bar chart or bar graph is a chart with rectangular bars with lengths proportional to the
values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart
is sometimes called a column bar chart. Bar charts provide a visual presentation of categorical
data. Categorical data is a grouping of data into discrete groups, such as months of the year, age
group, shoe sizes, and animals. In a column bar chart, the categories appear along the horizontal
axis; the height of the bar corresponds to the value of each category.
Bar charts can also be used for more complex comparisons of data with grouped bar charts
and stacked bar charts. In a grouped bar chart, for each categorical group there are two or more
bars. These bars are color coded to represent a particular grouping. A bar chart is very useful for
recording certain information whether it is continuous or not continuous data. Bar charts also
look a lot like a histogram; however bar charts have spaces between columns (unlike histograms)
as values are independent of each other.
The Line chart is shown with the following example:
10
2. 12 students were given intensive couching and 2 tests were conducted in a different
years. This course of test English & Accounts are given below:
Table: 1.2 Year 2001
2002 2003 2004 2005 2006 2007 2008 2009 2010
English 35 56 42 35 61 76 48 83 86 93
Accounts 42 65 75 84 64 81 73 63 86 95
Figure: 1.2
According to this chart we find that there is a significance difference between both tests
i.e. English & accounts.
0 20 40 60 80 100
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
35
56
42
35
61
76
48
83
86
93
42
65
75
84
64
81
73
63
86
95
Marks
Ye
ar
Students Data
Accounts
English
11
3. PIE CHART
A Pie chart is a circular chart divided into sectors. In a pie chart, the arc length of each
sector is proportional to the quantity it represents. The earliest known pie chart is generally
credited to William Playfair's Statistical Breviary of 1801. A Pie Chart can only display one
series of data. There are sub-types of the Pie Chart available.
The pie chart is perhaps the most widely used statistical chart in the business world and
the mass media. Pie charts can be an effective way of displaying information in some cases, in
particular if the intent is to compare the size of a slice with the whole pie, rather than comparing
the slices among them. Pie charts work particularly well when the slices represent 25 to 50% of
the data, but in general, other plots such as the bar chart or the dot plot, or non-graphical methods
such as tables, may be more adapted for representing certain information.
Pie charts are a very common chart type. They appear in newspapers and magazines, on
television, all over the internet, and in many business publications and presentations. They are
easy to make and easy to understand. I'll start with a simple How-To lesson, then discuss
advantages and disadvantages of pie charts, and finally show some advanced pie charting topics,
including VBA techniques.
The Line chart is shown with the following example:
12
3. Numbers in account of different students were found to be given below:
Table: 1.3
Year 2001
2002 2003 2004 2005 2006 2007 2008 2009 2010
Accounts 45 65 35 75 81 67 86 56 71 91
Figure: 1.3
This chart shows that there is significance difference between the no. of students in every
year.
4565
35
75
81
67
86
56
71
91
Accounts2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
13
4. Numbers of accounts of different students were found to be given in different years.
With the help of MS Excel formulas we find the Average number, maximum number &
minimum no. of different students. Which are shown as below:
Table: 1.4
Year 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Average
Accounts 52 36 64 75 48 81 79 89 42 95 =66.1
Table: 1.5 Year
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Maximum
Accounts 63 56 46 84 32 45 95 75 35 85 =95
Table: 1.6
Year 2001
2002 2003 2004 2005 2006 2007 2008 2009 2010 Maximum
Accounts 48 55 45 64 26 46 35 86 59 94 =26
14
BIBLIOGRAPHY:
Lab File of Workshop on Research Methodology.
“Research Methodology”, “Kothari C.R.”, “NEW AGE INTERNATIONAL
PUBLISHERS”, “2012-2013”.
M.S. Excel.
Websites:
http://wiki.answers.com/Q/Define_Chart_in_Excel#ixzz4OhECToBP
http://wiki.answers.com/Q/What_is_a_line_chart#ixzz4OhEgQ9tw
http://www.answers.com/topic/pie-chart#ixzz4OhD9zaVK
http://www.ehow.com/facts_5001665_definition-pie-charts.html#ixzz4OhDKvJPm