Data analysis
Chi square test with the help of SPSS
A chi square (X2) statistic is used to investigate whether distributions of categorical variables differ... More
How to test one way ANOVA in SPSS?
ANOVA or Analysis of Variance is conducted to determine the significant differences between the means... More
Performance assessment of growth, income, and value stocks listed in the BSE (2015-2020)
It is essential to examine the influence of the Bombay Stock Exchange (BSE) crashes on... More
Trend analysis of stocks performance listed in BSE (2011-2020)
Global markets crashed after the 2008 recession is one of the best examples. In such... More
Annual average returns and market returns for growth, income, and value stocks (2005-2015)
Due to diverse impacts and severe threats to investors, there is a need to examine... More
Trend analysis of average returns of BSE stocks (2000-2010)
The annual average returns of a stock define the earning possibility of investor from a... More
Risk tolerance by stocks categorization using ratio analysis
Stocks categorization is the process wherein stocks are classified into three categories. Ratio analysis is... More
Methodology to analyze the dynamic behavior of investors in the Indian stock market
The study aims in understanding dynamism in the Indian stock market and formulating a model... More
An introduction to stock market trend analysis
Stock market trend analysis or equity market trend analysis refers to the process of examining... More
Different types of stock market analysis
The stock market analysis aims at predicting the movement of the stock market and price... More
Capital Asset Pricing Model (CAPM) to determine stock value
Stock prices are important while calculating risk in stock and optimizing the portfolio value of... More
What is null and alternative hypothesis?
To answer how does online learning affect students’ skill development? The hypothesis is generally presented... More
Understanding various hypothesis testing steps
This article emphasizes the process of various hypothesis testing steps. A research hypothesis is a... More
How to accept or reject a hypothesis?
When a hypothesis is presented negatively (for example, TV advertisements do not affect consumer behavior),... More
Risk return analysis of income, value and growth stocks
For a stakeholder, risk and return are essential considerations in the investment decision-making process. In... More
Categorizing stock market investments into income, growth & value stock
The stock market is crucial to the economic performance of a country. Apart from being... More
Why is it important to test heteroskedasticity in a dataset?
Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the... More
Why conduct a multicollinearity test in econometrics?
A multicollinearity test helps to diagnose the presence of multicollinearity in a model. Multicollinearity refers... More
How to test normality statistically?
Data scientists strictly prefer to test normality and work on normally distributed data because of... More
How to graphically test normality?
Normality test identifies the nature of the distribution of data of a given variable. Normal... More
How to work with a moderating variable in the regression test with SPSS?
Influencing or control variables are said to be a moderating variable and the effect of... More
How to work with a mediating variable in a regression analysis?
When the linkage between 2 variables exists through a middle variable. This middle variable is... More
How to process the primary dataset for a regression analysis?
Regression analysis signifies the extent of the relationship between the dependent and independent variables.
What is the relevance of significant results in regression analysis?
Regression analysis is the statistical measurement which helps in linking the variables and determining the... More
How to improve the correlation between the variables?
Correlation refers to the extent of a relationship between the variables. In order to determine... More
Quantitative data characteristics
Qantitative data refers to statistical datasets that express certain quantities, amounts and ranges.. Arithmetic operations... More
How to formulate a research strategy?
A research strategy refers to the step-by-step plan of action that gives direction to the... More
What are quantitative research sampling methods?
The quantitative research sampling method is the process of selecting representable units from a large... More
What is a stationarity test and how to do it?
Stationarity in stationarity test is a property of time series which states that the value... More
How to perform structural equation modelling (SEM) analysis with AMOS?
Structural equation modelling analysis being the multivariate statistical tool helps in determining the direct and... More
What is Structural Equation Modelling (SEM) analysis?
Structural Equation Modelling (SEM) analysis is a statistical method used in social science studies for... More
How is qualitative data analysed?
This article focusses on techniques used to analyse qualitative data. The choice of technique depends... More
Steps to conduct the capital asset pricing model (CAPM)
Capital asset pricing model (CAPM) is a method of estimating the risks of investing in... More
Different methods of conducting momentum analysis
In the previous article, different data types and challenges faced while conducting momentum of daily... More
An introduction to momentum analysis
Momentum analysis is mainly done to measure the rate of rising or fall in stock... More
Paired sample T-test
A paired sample t-test is used to determine whether there is a significant difference between... More