Data Visualisation Distribution & Analysis Report

Data Visualization
Distribution & Analysis

EXECUTIVE SUMMARY
This report is based on Data Visualization Distribution & Analysis. The main purpose to
conduct the report is to check the BMI of the group A and B participants so that analysis can be
made between the two. The gathered data of this file is been evaluate by a software known as
Statistical package for social science (SPSS). This type software is used so that complex
statistical data. This software is used in various areas such as market researchers, health
researchers, survey companies, government, education researchers, marketing organizations, data
miners etc. In this report three test is being applied to evaluate the data which are data Outliers,
frequency histogram and normality test. The various graphs are also been design according to the
requirement of the data and test applied. This report covers two parts: part 1 is based on
calculation that is done by using SPSS and Part 2 is an abstract which covers Aim, Methods,
result and conclusion of the finding that is done in part 1. Data that is collected in this report is
the BMI values of the two group that is A and B. This report is based on the Public health that
why collection of data is of BMI.

Table of Contents
EXECUTIVE SUMMARY.............................................................................................................2
INTRODUCTION...........................................................................................................................4
MAIN BODY...................................................................................................................................4
PART 1........................................................................................................................................4
A) Table and Box plot of Data Outliers.................................................................................4
B) Frequency histogram for group A and group B.................................................................8
C) Normality Test of group A and B....................................................................................10
PART 2:....................................................................................................................................15
Abstract : .............................................................................................................................15
REFERENCES..............................................................................................................................16

INTRODUCTION
MAIN BODY
PART 1
A) Table and Box plot of Data Outliers
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
BMI
A 500 100.0% 0 0.0% 500 100.0%
BMI
B 500 100.0% 0 0.0% 500 100.0%
Descriptive
Statistic Std. Error
BMI
A
Mean 37.7670 .62459
95% Confidence
Interval for Mean
Lower
Bound 36.5398
Upper
Bound 38.9942
5% Trimmed Mean 37.1958
Median 37.0000
Variance 195.058
Std. Deviation 13.96630
Minimum 12.80
Maximum 78.90
Range 66.10
Interquartile Range 19.28
Skewness .542 .109
Kurtosis -.183 .218
BMI
B
Mean 31.9792 .36685
95% Confidence
Interval for Mean
Lower
Bound
31.2584