# 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 studentsâ€™ 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