Different methods of Data Analysis techniques
Different methods of Data Analysis techniques Quantitative and qualitative data analysis techniques are two broad categories of data analysis that are used in research and data-driven decision-making. A. Quantitative data analysis involves the use of numerical data such as surveys, experiments, and statistical analysis to test hypotheses, make predictions, and identify patterns in the data. Here are some of the most common methods of quantitative data analysis: Descriptive statistics: Descriptive statistics involves the use of summary statistics such as mean, median, mode, standard deviation, and variance to describe the characteristics of a dataset. These statistics provide an overall picture of the data and can be used to identify outliers, skewness, and other patterns in the data. Inferential statistics: Inferential statistics involves the use of statistical techniques such as hypothesis testing, confidence intervals, and regression analysis to make predictions about a popul...
Comments
Post a Comment
If you have any doubts, please let me know.