Dissertation Chapter4 Example | Topics and Well Written Essays - 2250 words

Chapter4 - Dissertation Example In this chapter of the dissertation, we will showcase the data gathered, the analysis done and the results drawn from those analyses. 4.2 Descriptive analysis Throughout the study we have mainly done the analysis part with the help of one-way ANOVA and T test. ANOVA is an assortment of statistical tools that helps the reader to arrive at a certain inference. Inference is the process of obtaining rational conclusions from some assumed or known assertions. ANOVA analyzes the deviation between the means of various groups as well as the deviation that happens to take place within the groups (physics.csbsju.edu, n.d.). Moreover in an ANOVA background, the detected variance existing in a definite variable is classified into particular components that feature a range of variation sources. ANOVA can be used for multiple factors as well as for a single factor. In the present dissertation we have divided the main questions into seven groups and for each group we have conducted one way ANOVA i. e. ANOVA for single factor (csse.monash.edu.au, n.d.). The single factor ANOVA is used to differentiate between the mean values of two or more samples with the application of F test (people.richland.edu, n.d.). This procedure is only suitable for analyzing numerical data. The technique involves testing the null hypothesis of the samples belonging to two or more groups within a population having equal mean values. The ANOVA generates an F statistic, where if the mean values of the groups are obtained from population having similar mean values, then the group means variance should be lesser than that of the variance contained by the samples (Leitzel, 2009). On the contrary a greater ratio consequently signifies that the samples were gathered from the populations having different value for their means. After the vivid description of the ANOVA technique, we would now discuss the T test. It is conducted for testing statistical hypothesis in which the statistics of the test pursue a Stude nt’s t distribution in the case when the null hypothesis is supported. We are considering the T test because the standard deviation of the population here is unknown. The â€Å"Levene’s Test for Equality of Variances† have been used in the analysis of the data as this test provides us with the information stating whether a hypothesis of the t-test has been achieved (Engineering Statistics Handbook, n.d.). T-test presumes that the inconsistency of each group remains almost same. When the assumptions of the t test are not met, then a specific kind of the t-test is applied which we will discuss in the next sections of the chapter. 4.3 Demographic profile The demographic profiles of the consumers both belonging to the UK and Thailand will be discussed in this section. Here we have used the descriptive statistics technique for analyzing the data gathered relating to the demographic profiles of the respondents. This technique is basically used for summarizing a sample and it is different from inferential statistics (Khan Academy, 2013), where the data is used for learning about a population which the sample has been assumed to represent. Moreover descriptive statistics is not based on probability theory unlike the inferential stati