Quantitative methods

Qualitative Method of Data Collection

What is qualitative research? Qualitative research is a type of naturalistic inquiry that aims to learn more about social phenomena in their natural setting. It focuses on the “why” of social phenomena rather than the “what,” and it is based on people’s actual experiences as meaning-makers in their daily lives. For the study of human …

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what is regression in machine learning?

Regression in machine learning In the discipline of machine learning, regression analysis is a key concept of the Classical Linear Regression Model (CLRM).. It’s classified as supervised learning because the algorithm is taught both input and output labels. Estimating how one variable influences the other, aids in the establishment of a link between the variables.  Assume …

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Quick Guide to Sources of Data

Pakistan Bureau of Statistics PBS’s previous policy for data sources was to provide aggregate-level data (tabulation) to users for free, and this will continue which means it is free. Users would be provided with special tabulation from sources of data in the required computer-readable format on demand, with charges deposited in the government treasury. If …

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Mathematical Derivation of Cost Function

Driving Short-run Cost Function from Cobb-Douglas Production Function Normally, every firm face two problems while producing their product, 1.     How much quantity of goods to produce? 2.     And how much labor and capital is required to produce output most efficiently? The production Function state relationship between output and input such as, Q = ƒ (K, …

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Stock Price trends and Parabolic Stop and Reverse (SAR)

Stock Price trends direction and SAR Welles Wilder’s Parabolic Stop and Reverse (SAR) trading system is a trailing stop-based trading system that is also used as an indicator. The SAR employs a trailing stop level that moves with the price as it rises or falls. The speed of the stop level is increased based on …

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Assumptions of Classical Linear Regression Model-CLRM-Based on secondary data

To forecast the value of a dependent variable based on the values of one or more independent variables, statisticians utilize the Classical Linear Regression Model (CLRM). It is one of the statistical models that is employed the most frequently and is predicated on the idea that the connection between the dependent and independent variables is …

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