Cross-tabulation and chi square will be use to organize the data do that determining the counts or percentages for combinations of categories across two or more categorical variables and investigate the relationship between variables will be easy. Questions like:
Data and statistics is able to be collected through a number of different ways to gather information, the majority of people have taken part
Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of
quickly generate the reports and graphs of long statistical data by using different analysis variable. This helps the user to get the desired outcome in short span of time with less use of computing skills and knowledge which means the user doesn’t have to be a computer genius to get the reports that are necessary for the decision-making.
The main purpose of the most researchers in conducting a research study is to achieve a statistically significant result. When we say statistically significant, it means that the result in a research study was not attributed to chance. In addition, it also means
Source: G. C. Britz, D. W. Emerling, L. B. Hare, R. W. Hoerl, & J. E. Shade. "How to Teach Others to Apply Statistical Thinking." Quality Progress (June 1997): 67--80.
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions and misused for other reasons in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then used to draw inferences about the process or population being studied; this is called inferential statistics. Both
Statistical Product and Service Solutions for Windows (SPSS) 12.0 software package and SAS 8.0 software. SPSS 12.0 was used for all statistical analysis except linear regression which used SAS 8.0.
SPSS is the premier statistical analysis software, and has been the industry benchmark for decades. It is practically impossible to do work in the social sciences without understanding the basic uses and functions of SPSS. As the full name of the software (Statistical Package for the Social Sciences) suggests, the suite is especially designed for use in the social sciences and has become standardized in some fields like psychology (Field, 2005). Researchers can use SPSS to input the raw data from their research designed and the software can compute a practically limitless set of statistics based on those raw figures and inputs. Basic descriptive statistics such as frequency and rates of distribution are obviously available, as are various ratios that can be drawn from the data. Simple correlations can therefore be drawn. However, there are many more robust uses for the software including the ability to run some of the most sophisticated analytic techniques that ensure the reliability and validity of the research. These techniques include an Analysis of Variance (ANOVA), bivariate correlations, t-tests, chi-tests and more. Regression analyses, factor analyses, and two-step cluster analyses are also possible using SPSS (IBM, 2013). It is impossible to imagine computing the data gleaned from research in any other way, although there are competing products on the market. The vast majority of researchers and analysts in the educational, "think tank," and corporate sectors are