Python syntax to correctly handle string data type
String data in Python can be identified and differentiated from other data types if they are enclosed within single or double quotation marks.
coding with pythonUnderstanding various hypothesis testing steps
This article emphasizes the process of various hypothesis testing steps. A research hypothesis is a clear statement or assumption of a researcher about the possible relationship between two variables, or elements, in a study.
research data analysis, research methodologyHow to accept or reject a hypothesis?
When a hypothesis is presented negatively (for example, TV advertisements do not affect consumer behavior), it is called a null hypothesis. This article explains the conditions to accept or reject a hypothesis.
research data analysis, research methodologyHow to calculate the sample size of primary research?
The calculation of the sample size is to determine the number of units or items that a researcher needs to include in the sample. Sample size calculation is the fourth step of sampling design and comes after the identification of the population.
research data analysis, research methodologyDifferent types of research problems and their examples
The identification of the research problem is the first step in the research process. It is similar to the identification of the destination before a journey. It works as the foundation for the whole research process.
research methodology, Scope of researchA comparison of descriptive research and experimental research
There are different types of quantitative research such as survey research, descriptive research, experimental research, and causal-comparative research.
quantitative analysis, research data analysis, research methodologyAdvantages and limitations of quantitative data collection methods
Quantitative data collection refers to data collected from primary or secondary sources in numerical form for mathematical calculations and statistical analysis.
quantitative analysis, research methodologyWhy is it important to test heteroskedasticity in a dataset?
Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the error term of the model. The presence of heteroskedasticity leads to violation of the assumption of the ordinary least square.
regression analysis, research data analysis, research methodology