"CensusCensus is a type of data collection that involves the study which gets data from everyone.It?s a cost and time consuming process, so probably it is not practical in most case. Census datacan be either accurate or approximate as it?s a long term process.Sample SurveySample Survey is like a case that gets data from the particular set of a field not in all sets,to evaluate the attributes used for the survey.Experiment An experiment is said to be a study which has some of the limitations. In this case,Researcher tries to recognize the major factor and future impact relationship. Experimental studyis always done in practical in most of the studies. It also gives accurate results as it is donepractically. Observational study Observational study is similar to Experimental study in which Researcher recognizes thefactor and impact but the researcher cannot control or give limits that how subjects are assignedand which should be used to rectify it.3.1.2 Variables? Identification of relationship between variables? Comparison of variables? Identification of difference between variables Identification of relationship between variables Variables are the parameters which are used to do data analysis. First and foremost thingof data analysis is to find the relation between two variables that are being used for data analysis.Related variables are known as dependent variables and variables that are not related are calledas independent variables(Leatham, 2012).Comparison of variables8 Comparison of variables is done to produce the feasible research report for the statisticaldata. Comparison results shows whether the variables are dependent or independent.Identification of difference between variables If any difference exists between the variables then the variables are said to beindependent. Independent variables do not associate with each other.Dependent Variables Dependent Variables are the variables which has relationship with one another.Dependent variables are associated to one another(Deshmukh, 2015).In this report, in the Share Market statistics analysis two variables namely Number ofshares traded and value of shares traded are used. These are called dependent variables becausewhen the value of share gets increased, no of shares will get increased. Shareholders used to buythe shares if its values gets high. Independent VariablesIndependent Variables are the variables which has no relation between one another.Independent variables has no association. In this report, in the cost of living index Clothing & footwear and Food & Non-alcoholicbeverages has no relation. As the cost of one increases, the cost of other will not get increased.So these are called independent variables(Roscoe, Schlichenmeyer and Dube, 2015).3.1.3 Statistical MethodsDescriptive statistics provides basic geography of the data that is being collected from anexperimental case study in various ways(Gillespie, 2015).Quantitative Data can be summarized in many ways. Some of the ways are as follows? Tables? Graphical RepresentationTablesTables involve frequency distributions, cross tabulations, stem and leaf plots. Frequencydistribution is the commonly used method which provides relative frequency and relative9 frequency distribution tables. A frequency distribution is the way to summarize the data in theform of tables consists of some ranges of the data, and the frequency of that data falls in thatparticular specified range. Graphical RepresentationGraphical Representation is the representation of data in the form of histogram, pie- charts, bar-charts and dot plot. Histogram is the chart that is vertical where there is two thingsone parameter in horizontal and another one in vertical. Bar charts has vertical bars thatrepresents the flow of data from x-axis to y-axis for the specified parameters. Pie-charts arecircular in shape, which uses various colors or shades to represent the data.3.2 Software RequirementThe SSPS represents the Statistical Package for the Social Science(Bc.edu, 2017). It is ahighly comprehensive system which is used to analyze the data. The complex data analysis canbe performed easily by using the SSPS. Because it has an efficient data analysis andmanipulation along with the simple instructions. Both non-interactive and interactive data can beeasily manipulated using SSPS package. Any type of data can be read though files and therelated graphs, plots and charts can be generated according to the descriptive statistics,distribution and trends and complex statistical analysis.The major advantages over other dataanalysis tool are given below.? High score of statistical procedures? High score of both statistical and mathematical functions? More flexibility? High level data handling capabilityIt can support any type of data format such as alphanumeric, numeric, date, time, dollarand binary. It acquires an excellent data manipulation utilities.The main functionalities of theSPSS are listed below.? Descriptive Statistics? Data transmission? Correlation? Data Examination10 ? T-tests? Factor Analysis? Prohibit Analysis? ANOVA? MANOVA? Cluster analysis? Contingency tables? Survival analysis? Regression? Multidimensional scaling? Graphics and the graphical user interfaceThe advantages of the SPSS are given below.? High level reliability? Robustness? Good user friendliness? It provides network based help and training availabilityChapter 44. Results and Findings4.1 Descriptive Data Analysis&Test Analysis4.1.1 Money Banking Statistics and InsuranceData about Money banking statistics and Insurance details of Saudi Arabia has been analysedunder the basis of various things like monitory base, money supply, circulation of currency and11 "