The graph illustrates a monopoly engaging in price discrimination, where it first sells Qm=32Q_m = 32Qm=32 units at the regular price Pm=68P_m = 68Pm=68 and…
How to Collect Data Using Questionnaires A questionnaire is a structured tool used for data collection in research, business, education, healthcare, and social sciences. It…
Quantitative data analysis involves processing and interpreting numerical data to uncover patterns, trends, and relationships. This process is widely used in business, healthcare, social sciences,…
Inferential statistics help draw conclusions from data using probability-based tests. 1. Correlation Analysis (Checking Relationships) Pearson’s Correlation (For Continuous Data): r CopyEdit cor(data$Age, data$Salary) #…
Choosing the Right Qualitative Analysis Tool 📊 Popular Qualitative Data Analysis Tools Tool Best For Features NVivo Interviews, Thematic Analysis Text coding, auto coding, sentiment…
Qualitative data analysis focuses on interpreting non-numerical data like text, interviews, open-ended survey responses, and observations. Unlike quantitative analysis, qualitative methods identify patterns, themes, and…
R is a powerful statistical computing and data visualization programming language widely used in data science, machine learning, and academic research. It is ideal for…
Use Cases for Tableau in Different Fields 1. Business & Finance Sales Analysis & Forecasting Customer Segmentation Market Trends & Competitive Analysis 2. Healthcare &…
How to Perform Data Analysis with Tableau Tableau is a powerful data visualization and business intelligence tool used for analyzing and visualizing complex datasets. It…
Inferential Statistics & Hypothesis Testing 1. Correlation Analysis (Relationship Between Two Variables) Click Analyze > Correlate > Bivariate Select two numeric variables and choose Pearson…