The document defines and describes various types of data analysis techniques:
- Descriptive statistics summarize and describe data through methods like frequency distributions and descriptive graphs.
- Bivariate analysis examines the relationship between two variables.
- Multivariate analysis studies more than two variables simultaneously.
- Comparative analysis examines similarities and differences between alternatives.
- Evaluation assesses subjects using defined criteria to aid decision making.
4.
simplest form of quantitative (statistical) analysis
carried out with the description of a
single variable in terms of the applicable unit of
analysis
5.
basic way of presenting is to create a frequency
distribution of the individual cases, which involves
presenting the number of cases in the sample that
fall into each category of values of the variable
can be done in a table format or with a bar chart or
a similar form of graphical representation
6.
involves two variables, deals with causes or
relationships
major purpose is to explain
one of the simplest forms of the quantitative
(statistical) analysis
7.
involves the analysis of two variables (often
denoted as X, Y), for the purpose of
determining the empirical relationship
between them
In order to see if the variables are related to
one another, it is common to measure how
those two variables simultaneously change
together.
8.
based on the statistical principle
of multivariate statistics, which involves
observation and analysis of more than one
statistical outcome variable at a time
9.
In design and analysis, the technique is used
to perform trade studies across multiple
dimensions while taking into account the
effects of all variables on the responses of
interest.
10.
Design for capability (also known as
capability-based design)
Inverse design, where any variable can be
treated as an independent variable
Analysis of Alternatives (AoA), the selection of
concepts to fulfill a customer need
11.
Analysis of concepts with respect to changing
scenarios
Identification of critical design drivers and
correlations across hierarchical levels.
12.
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you can use a selection of criteria to analyze
which variants have already reached or been
set to a specific status, or for which objects
the status is used
14.
aims at finding out not only how
things are, but above all how they should be,
which means that it will be necessary to
define the subjective point of view that shall
be used, in other words to select the people
who shall evaluate the proposals which aim at
improving the object of study
15.
discipline of quantitatively describing the
main features of a collection of data, or the
quantitative description itself
Descriptive statistics are distinguished
frominferential statistics (or inductive
statistics), in that descriptive statistics aim to
summarize a sample, rather than use the data
to learn about the population that the sample
of data is thought to represent
16.
For example in a paper reporting on a study
involving human subjects, there typically
appears a table giving the overall sample
size, sample sizes in important subgroups
(e.g., for each treatment or exposure
group), and demographic or clinical
characteristics such as the average age, the
proportion of subjects of each sex, and the
proportion of subjects with
related comorbidities
17.
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a systematic determination of a subject's
merit, worth and significance, using criteria
governed by a set of standards
can assist an organization, program, project or
any other intervention or initiative to assess any
aim, realisable concept/proposal, or any
alternative, to help in decision-making; or to
ascertain the degree of achievement or value in
regard to the aim and objectives and results of
any such action that has been completed
19.
enable reflection and assist in the
identification of future change
often used to characterize and appraise
subjects of interest in a wide range of human
enterprises, including the arts, criminal
justice, foundations, non-profit
organizations, government, health care, and
other human services
20.
Classification refers to categorization, the
process in which ideas and objects are
recognized, differentiated, and understood
21.
the item-by-item comparison of two or more
comparable
alternatives, processes, products, qualificatio
ns, sets of data, systems, or the like
In accounting, for example, changes in
a financial statement's items over
several accounting periods may be presented
together to detect the emerging trends in
the company's operations and results.
22.
Side by side examination of two or more
alternatives, processes, products, qualificatio
ns, sets of data, systems, etc., to determine if
they have enough commonground, equivalence, or similarities
to permit a meaningful comparative analysis
23.
For example, financial data of two firms from
very different industries may be comparable if
they use similar performance
measures, follow similar accounting
methods, policies, and procedures, and disclo
se their financial information to the similar
extent. A
very high degree of comparability may
indicate uniformity.
24.
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arranges data in an ordered format, such as
lowest to highest
can also use a stem and leaf plot for
presentation
the researched data is presented to others in
a paragraph form
could be hard for people to understand
without a visual aid
27.
data is presented in a chart or table format
statistics may be shown across several rows
and columns, presenting data with certain
parameters in a fashion that can be looked
over and compared
28.
data is arranged in rows and columns by
month or segment, which is used to show
what particular day correlates to the day of
the month or number unit of the monthly
segment
calendar can be considered one of the
simplest types of tabular data presentation
29.
30.
visual display of data and statistical results
visual display of data and statistical results
basically summarizes how one quantity
changes if another quantity that is related to
it also changes
31.
show and compare changes
show and compare relationships
bring facts to life
32.
Attractive and Effective presentation of Data
Simple and Understandable Presentation of
Data
Useful in Comparison
Useful for Interpretation
Remembrance for long period
33.
Helpful in Predictions
Universal utility
Information as well as Entertainment
Helpful in Transmission of Information
No Need for training
34.
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uses vertical or horizontal bars to represent
numerical data.
bar graph compares amounts in a single time
period.