How to test normality statistically?
Data scientists strictly prefer to test normality and work on normally distributed data because of its benefits.
research methodology, research reliabilityData scientists strictly prefer to test normality and work on normally distributed data because of its benefits.
research methodology, research reliabilityNormality test identifies the nature of the distribution of data of a given variable. Normal distribution of data refers to the closeness of every observation in a dataset to its mean score.
research methodology, research reliabilityCorrelation refers to the extent of a relationship between the variables. In order to determine this relationship, it is essential to establish a correlation between the variables.
correlation, data testing with spss, empirical analysis with econometrics, research methodology, spss intermediateQantitative data refers to statistical datasets that express certain quantities, amounts and ranges.. Arithmetic operations are applied to quantitative data. This article explains the Quantitative data characteristics.
quantitative analysis, research data analysisA research strategy refers to the step-by-step plan of action that gives direction to the researcher’s thought process. It enables a researcher to conduct the research systematically and on schedule.
research design, research methodologyThe quantitative research sampling method is the process of selecting representable units from a large population. Quantitative research refers to the analysis wherein mathematical, statistical, or computational method is used for studying the measurable or quantifiable dataset. The core purpose of quantitative research is the generalization of a phenomenon or an opinion. This involves collecting […]
quantitative analysis, research methodology, research samplingStationarity in stationarity test is a property of time series which states that the value of the variable doesn’t change with time.
research data analysis, stationarity testT-Test statistics, which is also known as student’s T-Test, was first developed by William Sealy Gosset in the year 1908.
analyse with SPSS, anova and manova, empirical analysis with econometrics, other tests spss, spss beginner