Experiment Design & Result Analysis

This report details an experiment investigating the impact of sedentary lifestyles on young people's health. It covers data collection, pre-processing, and analysis of survey results, highlighting the prevalence of health issues like obesity, colon cancer, and high blood pressure.

Experiment Design & Result Analysis

Table of Contents
INTRODUCTION...........................................................................................................................3
TASKS.............................................................................................................................................3
1. Collecting the data for experiment..........................................................................................3
2. Design and Implement ion of data .........................................................................................5
3. Experiment designing and implementation.............................................................................8
4. Implementation and design...................................................................................................10
CONCLUSION..............................................................................................................................18
REFERENCES..............................................................................................................................19

List of Figures
Illustration 1: Data pre- processing stages ......................................................................................7
Illustration 2: level for creating Questionnaire................................................................................9
Illustration 3: Pie charts of Age Limits..........................................................................................13
Illustration 4: Pie charts of sex.......................................................................................................13
Illustration 5: Pie chart of Background..........................................................................................14
Illustration 6: Pie Chart of body part affected...............................................................................15
Illustration 7: Pie chart of Health issue..........................................................................................16
Illustration 8: Graphical representation of responses.....................................................................17
Illustration 9: Pie charts of responses in Percentage (%)...............................................................18

INTRODUCTION
Data collection is a technique and process for storing all information in the form of data.
It can be stored in different forms such as tables, columns and flow charts etc. This report will
discuss about the data sources where data kept and performing different experiments. First of all,
it also found the various sources that is already mention in the report. Next task, it is
implementing and designing the data with the help of different data processing techniques. This
assignment used different software tool and software for implementing the survey according to
the requirement (Wike, 2018). At last, this report will analyse the total estimation of data that
used in different fields and areas.
TASKS
1. Collecting the data for experiment
a). Determining the source of data and information by experiment
For starting the data processing, it is important to know about the source of data that
implementing different functions and operations (Liu, 2017). There are following sources that
collecting data in appropriate manner. I chose different categories of humans according to the
requirement for Example- people of different ages, young and students and employee of
organization or professionals.
 Organizations / enterprises
 Public areas and places
 university or colleges
 Research projects
b). Select the most efficient source of data and data start collections.
I have created table that added some data and records, where I take some collection of data form
the organization. In this table, I store different columns such as source of data, description and
explanation of data, file format, charges and fees, targets of data source etc. This is the best and
effective research from my side (Adesope, Trevisan and Sundararajan, 2017).
Table: 1
Source of data Sources-
companies,
university,
Description of
data
Format of file
and data
Fees charges Source of data
targets

colleges, mall
and public
areas
Data 1 Public areas How many
risks for
young
generations??
Percentage Free yes
Data 2 Organization How the
physical
activities
effect
sedentary
lifestyle??
Number amount yes
Data 3 companies What are
different type
of problems
faced by
human??
Number Free yes
Data 4 Public How can you
affect the body
for access use
of
Smartphones?
?
TEXT amount yes
Data 5 Public What are
causes for
setting in one
place and
watching
television?
TEXT Free yes

Data 6 public What are the
risk for
increasing
obesity ??
Number Free yes
Data storage-
I have successfully added all the records of data and completing the table in proper manner.
Afterwards, it can be collecting data in proper manner and also put the data into another table.
This table and columns contain different raw material which are required for managing the
collecting data. I recorded the number of data and save in the computer system (Adio and Saleh
et.al., 2017). This data can save for the purpose of knowledge and future scope.
Table : 2
Source of data Collection of
data
Save files in
location
Save file name Format of file Number of
data recorded
Survey form
public areas
23/07/17 User-1 data S1.text text 20
Survey form
organization
08/07/17 User-2 data S2.text text 30
Survey from
new channels
02/02/16 User-3 data S3.text text 40
Survey from
university and
colleges
03/08/16 User-4 data S4.text text 10
2. Design and Implement ion of data
For designing and implementing of data in proper manner. This task is determine the
actual data processing for maintaining data effectively and efficiently.
Data pre- processing:

Data pre- processing is a technique and process which help for transforming raw data and
information into the perfect and undesirable format (Bagheri and Goudarzi et.al., 2017). Real
data is incomplete and inconsistent because it doesn't ave certain behaviour and it contains lot of
errors in it. Data pre processing is the best method for solving the issue related data and their
representation (Brereton and Tauler et.al., 2017). This process performs different functions in
step by step:
 Data cleaning
 Data integration
 Data transformation
 Data reduction
 Data discretization
This processing technique filter the specific data of sedentary lifestyle of young people in the
world.

These are different stages of data pre processing to perform different operations and functions in
effective manner. First is web server log collecting the data and information in it and then
identifying the actual data which is required for particular research. Afterwards, this process will
remove all unwanted data that are not required. It easily removes the secure the information in
the forms of records. This process also identifying the source of information which are taken by
another areas and specific places. This is the best process for data transformation in proper
format.
Selection and reduction of features:
Illustration 1: Data pre- processing stages

After completing the data pre- processing and move on another step for selecting the
result and also reduce the large number of random data (Cordeil and Thomas et.al., 2017). I also
create new table to address the record of data after reduction of random data elements. In this
way, it has to create new file and save the data into perfect format after evaluation process. In
this way, I have created new table according to survey of data into different sources.
Table: 3
Source of
data name
date Data pre
processing
purpose
Methods Original
data record
Result of
data
Name of
new data
file
Data 1 04/09/17 Avoid
Duplication
Filtering
data
120 110 F1.text
Data 2 03/08/16 Selection of
features
Cleaning the
data or data
reduction
100 70 F2.text
Data 3 04/07/17 Cleaning
data
Data
integration
30 20 F3.text
Data 4 12/12/16 Missing
data
Data
reduction
67 55 F4.text
Data 5 01/01/17 Avoid
Duplications
Data
reduction
49 39 F5.text
Data 6 09/12/17 Selecting
features
Data
integration
98 80 F6.text
3. Experiment designing and implementation
This experiment is basically based on the methodology that I proposed in thee my
research. I have been selected the new approach such as hybrid methodology which help for
combining the quantitative and qualitative approach. This methodology is based on theoretical
aspect for analysing the entire study that could be applied on research. This technique will help
for collecting complete data by using survey (Denzin, 2017). These methodologies also known

as exploratory research. It is based on numerical evidence to investigation regarding the
phenomena or statistical techniques.
I chose the research areas that is sedentary affect the young age people which faced many
challenges (Kees and Sheehan et.al.,2017). I use qualitative research based on the study and
taking interview session of young people. Young people face many problem related diseases
such as obesity, heart attack, blood pressure, colon cancer etc., there are the most dangerous
diseases that affect the human body and immune system.
Experiment outcomes:
Table : 4 Demonstrate informations
Illustration 2: level for creating Questionnaire

Sex Male
Female
Age limit 10-15
15-20
20-25
25-29
Heath issues Obesity
colon cancer
high blood pressure
Background Student
professionals
Working women
housewife
Enterpenur
Body part affected Belly
kidney
heart
muscles

Table : 5 Survey Questions
Questions: Description of Questions:
Question : 1 What are the risks for young generations??
Question : 2 What are the physical activities effect
sedentary lifestyle??
Question : 3 What are different type of problems faced by
human??
Question : 4 How the physical activities effect sedentary
lifestyle??
Question : 5 What are different type of problems faced by
human??
Question : 6 How can you affect the body for access use of
Smartphones??
Question : 7 What are causes for setting in one place and
watching television?
Question : 8 What are the risk for increasing obesity ??
According to survey, it can be identified the demonstrate information about the diseases in
human and their impact on the body. I also prepared report and added all information and data
related the age limit, background, body part affected, health issues etc. All the record maintain in
effective manner. It easy for designing application that stored all information according to the
survey.
4. Implementation and design
Another task is implementation phase of survey, it would be maintain the every part of
implementation (King, Schneer and White, 2017). It is required for managing the record of each
information that is added in the tables. File and table evaluate which is useful for determine the
accurate percentage and value of data.
Tool and Software :

It can use different tool and techniques for designing the pie chart to show the accurate
percentage values of information in proper manner.
Features Response (%)
Sex
 Male
 Female
70%
80%
Age Limit
 10-15
 15-20
 20-25
 25-29
45 (35%)
55 (42%)
35 (27%)
15 (11%)
Heath issues
 Obesity
 colon cancer
 high blood pressure
40 (31%)
80 (61%)
30 (23%)
Background
 Student
 professionals
 Working women
 housewife
 Entrepreneur
19 (21%)
15(11%)
30 (27%)
30 (27%)
55 (42%)
Body part affected
 Belly
 kidney
 heart
 muscles
40 (31%)
20 (15%)
25 (18%)
55 (43%)
Table : 6 recorded data and information

Illustration 3: Pie charts of Age Limits

Illustration 4: Pie charts of sex

Illustration 5: Pie chart of Background

Illustration 6: Pie Chart of body part affected
Illustration 7: Pie chart of Health issue

Experiment Results:
Table : 7 Survey Question and their specific response = total participants= 150
Questions: Responses %
What are the risks for young generations?? 120 (80%)
What are the physical activities effect
sedentary lifestyle??
95 (63%)
What are different type of problems faced
by human??
85 (56%)
How the physical activities effect sedentary
lifestyle??
20 (13%)
What are different type of problems faced
by human??
40 (27%)
How can you affect the body for access use
of Smartphones??
35 (23%)
What are causes for setting in one place and
watching television?
66 (44%)
What are the risk for increasing obesity ?? 70 (46%)

Illustration 8: Graphical representation of responses

Illustration 9: Pie charts of responses in Percentage (%)

Analysis the result:
According to the survey and it can be concluded that there are many people suffered form
disease because of their sedentary life style. I have done research based on the health risk and
young people face many challenges due their sedentary life style. This life style impact on the
physical activities of people and their living conditions. In this way, many diseases damage their
immune system such as obesity, colon cancer and high blood pressure. These are common
diseases in the society (Kirlik, 2018). That' s why, I have done proper survey to determine the
actual population suffered challenges in their life. Most of the people sitting in one place more
house which affect the body system. I choose the perfect calculation to identified the number of
people face problem and issues. These diseases affecting the body parts and immune system.
I did survey of different range of young people that categories in different sections like
student, working women, professionals, housewife and entrepreneur etc. All the people are
divided into different categories. I also calculate that what are problem faced by people in the
form of percentage. As per survey, obesity is 31% people faced problems and issues.
Colon cancer is 61 % young people faced many challenges problems and issues
High blood pressure is 23% young generation human faced many problems and issues.
In this way, I have design an effective charts and graphical representation which the help of
survey and research.
CONCLUSION
As above report, it concludes that different young people face many problems due to the
sedentary life style. These are impact on the body and their immune system. I have done
successfully research on this topic. I choose the quantitative methodology for determine the
actual value and percentage of different categories.

REFERENCES
Books and Journals:
Adesope, O.O., Trevisan, D.A. and Sundararajan, N., 2017. Rethinking the use of tests: A meta-
analysis of practice testing. Review of Educational Research, 87(3), pp.659-701.
Adio, S.O. and Saleh et.al., 2017. Arsenic and selenium removal from water using
biosynthesized nanoscale zero-valent iron: a factorial design analysis. Process Safety and
Environmental Protection, 107, pp.518-527.
Bagheri, A.R. and Goudarzi et.al., 2017. Design and construction of nanoscale material for
ultrasonic assisted adsorption of dyes: application of derivative spectrophotometry and
experimental design methodology. Ultrasonics sonochemistry, 35, pp.112-123.
Brereton, R.G. and Tauler et.al., 2017. Chemometrics in analytical chemistry—part I: history,
experimental design and data analysis tools. Analytical and bioanalytical
chemistry, 409(25), pp.5891-5899.
Cordeil, M. and Thomas et.al., 2017. Immersive collaborative analysis of network connectivity:
Cave-style or head-mounted display?. IEEE transactions on visualization and computer
graphics, 23(1), pp.441-450.
Denzin, N.K., 2017. The research act: A theoretical introduction to sociological methods.
Routledge.
Kees, J and Sheehan et.al., 2017. An analysis of data quality: Professional panels, student
subject pools, and Amazon's Mechanical Turk. Journal of Advertising, 46(1), pp.141-155.
King, G., Schneer, B. and White, A., 2017. How the news media activate public expression and
influence national agendas. Science, 358(6364), pp.776-780.
Kirlik, A., 2018. Requirements for psychological models to support design: Toward ecological
task analysis. In Global perspectives on the ecology of human-machine systems (pp. 68-
120). CRC Press.
Liu, B.H., 2017. Statistical genomics: linkage, mapping, and QTL analysis. CRC press.
Wike, E.L., 2018. Data analysis: A statistical primer for psychology students. Routledge.