SPSS Data Analysis for Annual Rainfall, Daily Maximum Rainfall, and Monthly Maximum Rainfall

Assignment 1: Tutorial Questions
CIVE 5015
Research Data Analysis
SP2 2018
University of Australia
Dataset:
Annual rainfall, Annual daily maximum rainfall, Annual monthly maximum rainfall
Name:
Student ID:
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Table of Contents
1. Introduction..............................................................................................................................4
2. SPSS version 25 data analysis..................................................................................................4
2.1 Task 1: Descriptive analysis.............................................................................................4
2.1.1 Methodology..............................................................................................................5
2.1.2 Results........................................................................................................................6
2.1.2.1 Descriptive analysis...................................................................................................6
2.1.2.2 Histogram for annual rainfall (AR) with Distribution Curve....................................7
2.1.2.3 Histogram for annual daily maximum rainfall (ADMR) with Distribution Curve. . .7
2.1.2.4 Histogram for annual monthly maximum rainfall (AMMR) with Distribution Curve
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2.1.2.5 Boxplots.....................................................................................................................8
2.1.3 Discussion..................................................................................................................8
2.2 Task 2: Data Recoding......................................................................................................9
2.2.2 Results......................................................................................................................10
2.2.2.1 Data Analysis...........................................................................................................10
2.2.2.2 Data recoding...........................................................................................................10
2.2.3 Summary..................................................................................................................11
2.3 Task 3: Chi square Test...................................................................................................11
2.3.2 Results......................................................................................................................11
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2.3.2.1 Establish Chi Square Test Hypothesis.....................................................................11
2.3.2.2 Chi-Square output....................................................................................................12
2.3.3 Discussion................................................................................................................13
2.4 Task 4: T-test..................................................................................................................13
2.4.1 Methodology............................................................................................................14
2.4.2 Results......................................................................................................................14
2.4.2.1 Establish T- Test Hypothesis...................................................................................14
2.4.2.2 T-test output.............................................................................................................15
2.4.3 Discussion................................................................................................................15
2.5 Task 5: ANOVA.............................................................................................................16
2.5.1 Methodology............................................................................................................16
2.5.2 Results......................................................................................................................16
2.5.2.1 Establish ANOVA Test Hypothesis........................................................................16
2.5.2.2 ANOVA output........................................................................................................17
2.5.3 Discussion................................................................................................................18
3. Conclusion..............................................................................................................................18
References......................................................................................................................................19
Appendixes....................................................................................................................................20
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1. Introduction
This study is applying the data analysis skills which is a component of the research. The IBM
Statistical Software for Social Sciences (SPSS) is used to perform the required analysis of the
given data set. According to Levesque (2007), SPSS is a powerful software that can be used to
perform various analysis ranging from comparing of means to reliability testing among many
others. The software has syntax part and the point and click sections where people can use to
perform various analysis. It is easy to use and very friendly to even non-statisticians. This study
utilized the dataset on Annual rainfall (AR), Annual daily maximum rainfall (ADMR), Annual
monthly maximum rainfall (AMMR). The aim of the study is to demonstrate the data analysis
skills and apply them on real life events.
2. SPSS version 25 data analysis
This section is divided into 5 different subsections that explains the utilization of different SPSS
techniques to perform analysis. Data for this study was collected from the following website
www.bom.gov.au. The next sections outlines the step-by-step used to perform the various
analysis. The SPSS output and results have also been provided along with the interpretation of
the various results. The preliminary analysis which tries to explore the dataset is the first
subsection. Other analysis techniques discussed in this report include the Chi-square test of
association, t-test for comparing means of two factors, analysis of variance (ANOVA) for
comparing means of more than 2 factors.
2.1 Task 1: Descriptive analysis
Descriptive analysis which also includes frequency analysis is the most commonly used analysis
for exploring the dataset before performing any inferential analysis. The analysis captures the
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