Multiple Choice Questions about the Subject of Economics for the preparation for the PPSC Lecturer test and various job and School, College, and University related examinations.

**Attempt MCQs Economics – 3 Test**

Online Quiz: Multiple Choice Question (PPSC, FPSC, CSS, PCS)

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Multiple Choice Questions about the Subject of Economics for the preparation for the PPSC Lecturer test and various job and School, College, and University related examinations.

**Attempt MCQs Economics – 3 Test**

Posted in Intermediate Part-I, Number System

Please go to MCQs Number System – 4 to view the test

Posted in Economics

Please go to MCQs Economics – 3 to view the test

Posted in Economics
Tagged Economics Quiz

Please go to MCQs Economics – 2 to view the test

Posted in Economics

Please go to MCQs Economics – 1 to view the test

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The relationship/ Dependency (also called Association) between the attributes is called relationship/association and the measure of degrees of relationship between the attributes is called the coefficient of association. The Chi-Square Statistic is used to…

The post is about some important Short Questions about sampling and sampling distribution. Q1: Define Sample and Sampling. Answer: Sample: A small portion of the population representing the qualities of the population being sampled…

Online MCQs about IBM SPSS with answers.

In the least square method, the regression model is established in such a way that the sum of the squares of the vertical distances of different points (residuals) from the regression line is minimized. When the relationship between the variables is not linear (one has a non-linear regression model), one may try to transform the […]

In logistic regression models, the response variable ($y$) is of categorical (binary, dichotomous) values such as 1 or 0 (TRUE/ FALSE). It measures the probability of a binary response variable based on mathematical equation relating the values of response variable with the predictor(s). The built-in function glm() can be used to perform logistic regression analysis. […]

The generalized linear models (GLM) can be used when the distribution of the response variable is non-normal or when the response variable is transformed into linearity. The GLMs are flexible extensions of linear models that are used to fit the regression models to non-Gaussian data. The basic form of a Generalized linear model is\begin{align*}g(\mu_i) &= […]

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