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Free Tips for Writing a Dissertation Statistical Analysis

Dr. Nancy Agnes, Head,

Technical Operations, Tutorsindia

info@ tutorsindia.com

In-Brief

Identifying the appropriate statistical

method, understanding the statistical

software working system, and carry out the

analysis without any error, are the major

problems faced by the researcher. It is used

in day to day life in various industries, and

if your research work or dissertation needs

it, it is significant to get it right, as this is

something that you might regularly use in

your future career.

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I. INTRODUCTION

Statistical analysis is mainly about

gathering scientific data and uncovering

their patterns and trends. It is another way of

“statistics.” After gathering data, you

can analyze it to:

● Summaries the data. For example,

make a graphical representation like the

pie chart.

● Find important measures of

location. For example, the mean, which

states the average (or “middling”)

number, is in a data set.

● Evaluate measures of spread: These help you identify the type of

data, whether tightly clustered or more

spread out.

The standard deviation is an extensively

used spread measure; it shows you how

your data is spread out.

● Make future predictions based on

past behaviour. It is exclusively used

in retail, manufacturing industries,

banking, sports, or any institution

where knowing future trends would

profit.

Hire:Dissertation Statistical Analysis

Service

II. CHALLENGES OF STATISTICAL

ANALYSIS

It is the science of collecting and analyzing

information and presenting it to reveal the

fundamental patterns and trends. It is used in

day to day life in various industries, and if

your research work or dissertation needs it,

it is significant to get it right, as this is

something that you might regularly use in

your future career. It can be stated in

dissertations in various ways, and it often

needs different methods. It also helps a

variety of subject areas if you require it for

your dissertation work; it is an essential

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component and makes up a huge chunk of

your final grade.

It is the most difficult part of writing found

in dissertation writing. Identifying the

appropriate statistical approach or method,

understanding the statistical software

working system, carry out the analysis

without any error, and then effectively

analyzing the outcome are the major

problems faced by the researcher

Carrying out the analysis without any

mistakes and then accurately analyzing the

outcomes are the major tasks that can cause

students problems. Statistical consultants

strive to present you with accurate results

through data analysis tools and services.

But don’t get too stressed over your

statistics, statistics help for dissertation uk

writers are ready to give a helping hand.

How to frame a Statistical data analysis

Statistics is a science that comprises data

gathering, data clarification, and finally, data

validation.

It is a procedure that performs a variety of

statistical operations. It is similar to

quantitative research, which seeks to

quantify the information, and applies some

form of statistical analysis.

Quantitative data includes descriptive data,

such as survey data and observational data.

Statistical data analysis usually contains

statistical tools, which cannot be performed

by a layman without any statistical

knowledge.

There are varieties of software packages

found to carry out statistical data analysis,

which includes SAS,

SPSS- Statistical Package for the Social

Sciences, Stat soft, etc.

Dissertation Statistics Help Using SPSS is

used in various complex statistical data

analysis.

Statistical data analysis consists of various

data in the form of the variable(s), and data

may be univariate or multivariate. Based on

the number of variables, the researcher

performs different statistical techniques.

If the data inside the statistical analysis are

multiple, then multivariates can be done.

These are the major factor of statistical data

analysis, discriminant statistical data

analysis, etc.

If the data inside the statistical analysis is

singular in number, then univariate

statistical can be done. It comprises t test for

significance, z test, f test, ANOVA one way,

etc...

The data under statistical data analysis is

generally classified into two different types,

Continuous data - The continuous data is the

one that could not be counted.

For example, the intensity of light can be

measured but cannot be counted.

Discrete data - Discrete data is the one that

can be estimated.

For example, the number of electric bulbs

can be counted

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Statistical tests

Complex statistical analysis has a wide

range of statistical tests which can be

applied to the collected data. To choose the

correct test, you need to refer to two

questions:

1. Which kind of data did you gather?

2. What are the variables you consider

to create a relationship between

different data?

Selecting the right test is the tricky process,

as you must select between two different

families of tests: parametric and non-

parametric:

● Parametric tests – which comprises

Mean, Standard Deviation, t test,

analysis of variance (ANOVA),

Pearson correlation, regression

(linear and non-linear);

● Non-parametric tests comprise the

following median, interquartile

range, Spearman correlation,

Wilcoxon test, Mann-Whitney test,

Kruskal-Wallis test, Friedman test.

Choosing the right test

Choosing the right family of tests can be

difficult. The following information

provides you with basic rules for deciding

which help you identify the family of tests

that perfectly suits your data. Dissertation

statistical analysis services help in

choosing in between these different test.

● You must select the parametric test if

your data is sampled from a

population that follows a normal

distribution (or Gaussian

distribution). The normal distribution

pattern for the distributed set of data

follows the bell-shaped curve, which

means that the data contain fewer

tendencies to produce remarkably

extreme values related to some other

distribution.

● You must select the non-parametric

test if the population does not follow

a normal distribution. Where values

may be too high or too low to

measure, a non-parametric test can

assign values too low or too high to

measure.

III. CONCLUSION

Statistical analysis is the most challenging

part of writing found in dissertation writing.

It is the science of collecting and analyzing

information and presenting it, to reveal the

fundamental patterns and trends. It is used in

day to day life in various industries, and if

your research work or dissertation needs it,

it is significant to get it in a correct form, as

it is something that you might regularly use

in your future career. It can be stated in

dissertations in various ways, and it often

needs different methods. It is an essential

component and makes up a huge part of

your final grade. Order now dissertations

statistical analysis helps uk

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REFERENCES

1. Swetnam, D. (1997). Writing your dissertation:

how to plan, prepare and present your work

successfully. Oxford: How to Books.

2. Lunenburg, F. C., & Irby, B. J. (2008). Writing a

successful thesis or dissertation: Tips and

strategies for students in the social and

behavioral sciences. Corwin press.