LAs Offences and Census Data - Research Report

SPSS

TABLE OF CONTENTS
Introduction..........................................................................................................................................1
Task 1...................................................................................................................................................1
Bivariate Correlation Analysis.....................................................................................................1
Task 2...................................................................................................................................................2
Chi Square Test............................................................................................................................2
Task 3...................................................................................................................................................8
Chi Square Test............................................................................................................................8
References..........................................................................................................................................15

INTRODUCTION
In the present research report, researcher is focusing on evaluating the data related to LAs
– Offences and Census data. This includes, for each local authority (LA) in England and Wales.
Herein, data gathered is related to the notifiable offences rates within different regions of the
country. Furthermore, different notifiable offences, as recorded by the police (absolute number
of offences per (LA) for the period April 2010 – March 2011. A number of variables from the
last UK Census (March 2011), including population size, age structure, population background
and various socio-economic indicators. In this regard, different hypothesis will be prepared and
tested with the help of SPSS tool. Further, to prove the hypothesis various test such as bivariate
correlation, Chi-Square and will be used so that relationship and association between variables
can be identified (Pallant, 2007).
TASK 1
Bivariate Correlation Analysis
Ha0 = Null Hypothesis
Ha1 = Alternative Hypothesis
Hypothesis 2:
Ha0: There is no significant relationship between Unemployment rate of country and the
Notifiable Offences.
Ha1: There is significant relationship between Unemployment rate of country and the Notifiable
Offences.
Descriptive statistics:
Descriptive Statistics
Mean Std. Deviation N
Unemployment rate .0576 .01934 348
Robbery (Notifiable Offences) 219.433 475.9617 344
Correlation:
Correlations
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Unemployment
rate
Robbery
(Notifiable
Offences)
Unemployment rate
Pearson Correlation 1 .463**
Sig. (2-tailed) .000
N 348 344
Robbery (Notifiable Offences)
Pearson Correlation .463** 1
Sig. (2-tailed) .000
N 344 344
**. Correlation is significant at the 0.01 level (2-tailed).
Interpretation:
On the basis of above computation of bivariate correlation, relationship between
unemployment rate and robbery a notifiable offences has been identified. However, the main
purpose of evaluating the relationship between both these variables is to identify whether
unemployment rate forcing or influencing people to make such notifiable offences. In regards to
the Pearson Correlation significance value is 0.463 which indicates there is weak relationship
between both variables. But with the positive significance value indicates that if unemployment
rate of different cities of UK increases, will increase the robbery rate. Further, with the higher
significance value of 0.463 as compared to the significance value of 0.05 (Bivariate Correlation,
2014). This clearly indicates that, alternative hypothesis has been accepted and null rejected
which presents there is statistically significant relations between unemployment rate and robbery
a notifiable offence. Therefore, it can be said that, if unemployment rate in different cities of UK
increases will leads to increase the rate of robbery offence in the places.
TASK 2
Chi Square Test
Chi Square Test:
Ha0 = Null Hypothesis
Ha1 = Alternative Hypothesis
Hypothesis 2:
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