ECAT Entry Test - Statistics

Statistics is one of the three optional subjects available for ECAT candidates. Students with the combination of Physics, Mathematics and Stats in intermediate go with this subject during engineering college entry test. This portion contains 30 MCQs, which makes the 30% of the ECAT paper. To assist students, has uploaded video lectures of all the topics the statistic portion of the paper. These lectures are very effective for the preparation of the entry test exam of different institutes.

Subject Details

Statistics is one of the elective portion of the ECAT paper. Chemistry and Computer Science are its alternate. Those who opt for stats gets an extra paper; which comprises thirty multiple choice questions (MCQs). Every question carries 4 marks. One mark is subtracted from the total obtained marks for each wrong answer. To learn more about paper attempting method, watch the video lectures of

The all questions of statistic part are based on the course book of 11th and 12th class. These questions test the knowledge and ability of applicants. They are based on memory recall. Students can prepare all the relevant questions and topics on Statistics page, under ECAT section of

This page contains video lectures of each chapter/topic and its test according to the exam pattern. The chapter-wise test is good exercise to achieve maximum marks in statistics portion. They also equip students with confidence to attempt the paper with grace.  Students should have a broad knowledge about these given topics to attempt this portion.

  • Data representation, interpretation and exploration
  • Frequency distribution and  graphical representation
  • Calculation of average
  • Statistical Dispersion
  • Creation of index number, its applications, weighted and unweighted index numbers
  • Regression, correlation, time series and their analysis
  • Set theory and counting methods and their related problems
  • Probability, conditional probability, and addition and multiplication laws of probability
  • Random variables, their expectation, application, variance and its sum and difference
  • Binomial and hypergeometric distributions
  • Normal Distributions, their properties and problems
  • Sampling distribution and related errors
  • Inference, estimation and confidence interval
  • Hypothesis testing for means and proportions
  • Association of distributes