file attached

Table of Contents
Executive Summary    1
Introduction    1
Literature Review    1
Methodology    2
Analyses    2
Descriptive statistics    2
Inferential statistics    5
Objective 1    5
Objective 2    6
Objective 3    6
Objective 4    7
Discussion and managerial advises    8
Limitations    8
Reference List    9
Executive Summary
With Chi-square (1) = 0.125, p>5%, there is no evidence to conclude that certification and foreign direct investment are dependent of each other. With r=0.555, p<5%, there is sufficient evidence to conclude that the return on assets and return on sales have positive linear associated with each other.
With t(5715)=-7.271, p<5%, there is sufficient evidence to conclude that there is a difference in the average operating profit between certified and not certified industries.
With F=9.343, p<5%, there is sufficient evidence to prove that at least one of the averages generating profit differs significantly in the various industry types.
Introduction
The objectives of the study are:
1.  To know that if the foreign direct investment is independent of certification
2.  To know if there is a positive linear relationship between return on sales and return on asset
3.  To test if there is a significant difference in the operating profit between certified and not certified industry.
4.  To test if there is a significant difference in the average operating profit between the various industry types
Literature Review
The ISO 9000 series of quality management systems standard has been widely applied all over the world since its introduction in 1987. Du, Y. Z., Yin, J. L., & Zhang, Y. L. (2016). By the end of 2013, ISO 9000 had been adopted by over 1,129,000 facilities in 189 countries. Fikru, M. G. (2014a). In 2008, the National Bureau of Statistics of China conducted an Economic Census of the service firms. Christmann, P., & Taylor, G. (2006).
Methodology
The two variables foreign direct investment and certification are measured by the nominal scale of measurement as they are categorical in nature. Hence a Chi-square test of Independence can be applied to test the association between foreign direct investment and certification. Wilcox, R. R. (2011).
The two variables return on sales and return on asset is measured by the ratio scale of measurement. A Pearson correlation coefficient can be used to know the strength and direction of the linear relationship between them. Poletiek, F. H. (2013). 
 The dependent variable is operating profit which is measured by the ratio scale of measurement. The independent variable is the certification which is categorical in nature with only two categories. Hence a t-test for independent samples and be applied to test if there is a difference in the average operating profit between certified and not certified industries. Fiedler, K., & Walther, E. (2004). 
 The dependent variable is operating profit which is measured by the ratio scale of measurement. The independent variable is industry type which has more than 2 categories. Hence a one-way ANOVA can be applied to test if there is a significant difference in the average operating profit between the 8 types of industries. Tartakovsky, A., Nikiforov, I., & Basseville, M. (2014).
Analyses 
Descriptive statistics
Most of the industries are not certified and do not have a foreign direct investment. There are are a total of 89% of industries that are not certified and do not have any foreign direct investment. This is followed by 8% of industries which are certified and do not have a foreign direct investment. There are only 3% of Industries with foreign direct investment.
The scatter plot and upward trend is evident indicating that there is a positive linear association between return on Assets and sales. Lemey, P., Salemi, M., &...