I certify that I have carefully reviewed the university’s academic misconduct policy. I understand that the source of ideas must be referenced and that quotation marks and a reference are required when directly quoting anyone else’s words.
What is your research question?
Provide your summary (maximum 1 page) of the theoretical argument leading to the conceptual model with theoretical constructs clearly identified.Provide a diagram to show the relationships between the key theoretical constructs.Indicate your hypotheses – they will be assessed in your Assessment Task 2 for ACC620.Provide your descriptive analysis
Conduct and describe appropriate statistical analysis of the data.
Draw appropriate conclusions regarding the hypothesis based on the inferential data analysis. Convincingly and clearly discuss the implications of the results for practice and theory Clearly identify the limitations of the study. Identify opportunities for further research based on the findings, and limitations, of your study.Provide a list of references for all sources used including intext references, using Harvard style.
Theoretical argument leading to the conceptual model
This report is used to conduct the data analysis, where the companies for the analysis are first selected to precede the analysis. To begin the research, CDP Survey 2015 is utilized, which helps in gathering the data. From 1000 companies, 60 companies are filtered depending on some specific parameters. Only after the filtration of companies the analysis conducted. The objective is to complete the data analysis for the selected companies by using the statistical tests will be conducted to determine the effective results which don’t seem to be unusual.
Then, implications of outliers will be considered. Regression will be carried out, followed by ttests, paired ttest, descriptive analysis and correlation. To understand the environmental effects by various research papers will be reviewed. The ttests will be performed separately for every single industry type. The hypothesis will be tested. The limitations of the analysis will be identified and the future possible research will be forecasted. The results will be determined and evaluated. Finally, the relationships of the variables will be discussed and concluded.
1 Data Analysis
The data was collected from the CDP Survey 2015 which initially had more than 1000 companies and it cut down to 60 companies. After getting the data, it is found that there are 30 companies which are integrated to the business strategy with climate change and 23 companies are not (Hays, 2008). As, it is not equally distributed on the basis of control variables and it more into the favor of companies which are integrated. Further, for making the comparison the analysis is done on all companies together. The data analysis is done by using the SPSS analysis.
 First Open the IBM SPSS.
 Then Load the data set.
1.1 Descriptive Analysis
Here we will use the descriptive analysis is to analysis the data from the data. Descriptive analysis for 2011 Disclosure score, 2012 Disclosure Score, 2013 Disclosure Score and 2014 Disclosure Score is shown below (Witte, 2017).
Descriptive Statistics 

N 
Minimum 
Maximum 
Sum 
Mean 
Std. Deviation 

GICS Sector (Company) 
60 
1 
6 
204 
3.40 
1.852 
2015 Disclosure Score is public 
60 
1 
2 
61 
1.02 
.129 
2015 Disclosure score 
60 
0 
100 
5599 
93.32 
14.836 
Valid N (listwise) 
60 
2 Hypothesis Testing
The hypothesis testing in SPSS included the following test like,
 TTest
This analyzed and discussed in below.
2.1 TTest
The Ttest analysis is shown below.
TTest is used to test the variable from the data set. Here, we will use the two test variable like 2015 Disclosure score and 2014 Disclosure Score. It is shown below.
OneSample Statistics 

N 
Mean 
Std. Deviation 
Std. Error Mean 

2015 Disclosure Score is public 
60 
1.02 
.129 
.017 
2015 Disclosure score 
60 
93.32 
14.836 
1.915 
OneSample Test 

Test Value = 0 

t 
df 
Sig. (2tailed) 
Mean Difference 
95% Confidence Interval of the Difference 

Lower 
Upper 

2015 Disclosure Score is public 
61.000 
59 
.000 
1.017 
.98 
1.05 
2015 Disclosure score 
48.720 
59 
.000 
93.317 
89.48 
97.15 
Correlations 

GICS Sector (Company) 
2015 Disclosure Score is public 
2015 Disclosure score 
Country (Company) 

GICS Sector (Company) 
Pearson Correlation 
1 
.099 
.162 
.245 
Sig. (2tailed) 
.451 
.217 
.060 

N 
60 
60 
60 
60 

2015 Disclosure Score is public 
Pearson Correlation 
.099 
1 
.826^{**} 
.072 
Sig. (2tailed) 
.451 
.000 
.586 

N 
60 
60 
60 
60 

2015 Disclosure score 
Pearson Correlation 
.162 
.826^{**} 
1 
.102 
Sig. (2tailed) 
.217 
.000 
.437 

N 
60 
60 
60 
60 

Country (Company) 
Pearson Correlation 
.245 
.072 
.102 
1 
Sig. (2tailed) 
.060 
.586 
.437 

N 
60 
60 
60 
60 

**. Correlation is significant at the 0.01 level (2tailed). 
1Discussion
Almost from 1000 companies, 60 companies were selected to complete the analysis. CDP Survey 2015 is utilized for gathering the data. It is observed that these companies were selected based on some specific parameters. In this report, several research papers are reviewed to get knowledge on the effects of environment. The SPSS analysis is performed. The hypothesis discussed and tested (Bhowal and Barua, 2008). They are,
 H0: There is no significant relationship between Monitoring compliances with climate change policy and regulation of Austra and climate changes
 H1: There is a significant relationship between Monitoring compliances with climate change policy and regulation of Austra and climate changes
Gathering and filtering of data from CDP Survey 2015
The appropriate statistical tests are completed such as, ttest, regression, Levine’s test, descriptive statistics, ANOVA, Paired TTest, onesample test and correlation. The data analysis for the selected companies is completed and the practical implications shown below.
The descriptive statistics show that the N is 60 for 2015's Disclosure score is public, GICS sector and 2015's Disclosure score for the Valid N is 60. The minimum is 1 and the maximum is 6, for the GICS sector whereas, its mean is 3.40 and its standard deviation is 1.942. However, for 2015's Disclosure score is public, the minimum value is 1 and the maximum value is 2. Then, the mean is 1.02 and the standard deviation is .129.For 2015's Disclosure score, the minimum value is 0 and the maximum value is 100. Then, the mean is 93.32 and the standard deviation is 14.836.
The theory of ACC620 is applied. From onesample statistics, the mean is 1.02, the standard deviation is .129 and the standard error mean is 0.17 for 2015 disclosure score is public and the mean is 93.32, the standard deviation is 14.836 and the standard error mean is 1.915 for 2015 disclosure score. The test value is equal to zero, for the onesample test.
Followed by, the value of "t" is 61.00, the "df" is 59, the sig. (2tailed) is .000 and the mean difference is 1.017 for 2015 disclosure score is public. When the lower and upper value of "95% Confidence Interval of the Difference" is checked it shows .98 and 1.05, respectively. And, the value of "t" is 48.72, the "df" is 59, the sig. (2tailed) is .000 and the mean difference is 93.317 for 2015 disclosure score. When, lower and upper value of "95% Confidence Interval of the Difference" is checked it shows 89.48 and 97.15 respectively (Ibm.com, 2018).
In oneway ANOVA statistics, the 2015 disclosure core has the sum of squares is 9158778.082, df is 5053 and Mean square is 1812.543. Then, the 2014 disclosure score has the sum of squares is 869910.391, df is 1849 and Mean square is 470.476.
In paired samples statistics, the pair 1 account number has the mean is 18849.39, standard deviation is 12331.4522 and standard error mean is 173.459 and pair 1 2015 disclosure score has the mean is 29.24, standard deviation is 42.54 and standard error mean is .599. The Pair 2 account number has the mean is 1334.15, standard deviation is 9239.536 and standard error mean is214.815 and pair 2 2014 disclosure score has the mean is 76.80, standard deviation is 21.690 and standard error mean is .504 (Rainn.org, 2018).
Descriptive analysis and appropriate statistical tests
From Paired sample tests, the mean is 18820.144, the standard deviation 12343.57 and the standard error mean is 173.629 for Pair 1 (Account Number and 2015 disclosure score) and the mean is 13267.356, the standard deviation is 9242.033 and the standard error mean is 24.873 for pair 2 (Accoun Number and 2014 disclosure score). Then, the test value is equal to zero. Followed by, the value of "t" is 108.393, the "df" is 5053, the sig. (2tailed) is .000 for Pair 1. When the lower and upper value of "95% Confidence Interval of the Difference" is checked it shows 18479.755 and 19160.533 respectively. And, the value of "t" is 61.74, the "df" is 1849, the sig. (2tailed) is .000 for Pair 2. When, lower and upper value of "95% Confidence Interval of the Difference" is checked and it shows the values 13688.775 and 61.745 respectively (Integrating R Methods into SPSS, 2012).
Conclusion
This report is used to conduct the data analysis, where the companies for the analysis are first selected to precede the analysis. To begin the research, CDP Survey 2015 is utilized, which helps in gathering the data. From 1000 companies, 60 companies are filtered depending on some specific parameters. Only after the filtration of companies the analysis conducted. Appropriate statistical tests are conducted to find effective results which don’t seem to be unusual. The implications of outliers are considered.
Regression is performed along with ttests, where the ttests are performed separately for every single industry type. The hypothesis is set for the research. Various research papers are reviewed to understand the environmental effects. Thus, even the hypothesis are tested and analyzed. The limitations of the analysis are identified. The future possible researches are mentioned. The results are determined and evaluated. At last, the relationships of the variables are discussed and concluded (Developing of SPSS Teaching MicroVideos, 2018).
Limitations
The identified limitations are listed below.
 Automatic Scaling
 Not intuitive to use.
 The selected companies are should be integrated to the business strategy to provide the effective data analysis for an organization. This analysis is used to identify the climate changes based on 2014 and 2015 disclosure score. The most of the companies are disclosing the 100% score (SPSS survival manual: a step by step guide to data analysis using IBM SPSS, 2013).
 Future Research
The Future research, the must be focus on data because it is refers to data transforms into a useful format for analysis. Generally, it involves the storage, structure; source, accessibility and quality of the data and it can be queried and analyzed by other analysis. It ensures the system will be securely integrated with business strategy. It also focuses on the exploratory data analysis and predictive models and it used to reveal the trends and patterns in data from existing data sources (Hilbe, 2003).
References
Bhowal, M. and Barua, P. (2008). Statistics. New Delhi: Asian Books.
Developing of SPSS Teaching MicroVideos. (2018). Advances in Social Sciences, 07(01), pp.96100.
Graham, A. (2011). Statistics. London: Hodder Education.
Hays, W. (2008). Statistics. Belmont, Calif.: Wadsworth/Thomson Learning.
Hilbe, J. (2003). A Review of Current SPSS Products. The American Statistician, 57(4), pp.310315.
Ibm.com. (2018). IBM SPSS Software  IBM Analytics.
Integrating R Methods into SPSS. (2012). Statistical and Application, 01(02), pp.2630.
Rainn.org. (2018). Statistics  RAINN.
SPSS survival manual: a step by step guide to data analysis using IBM SPSS. (2013). Australian and New Zealand Journal of Public Health, 37(6), pp.597598.
Witte, R. (2017). Statistics. New York: Wiley.
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