Online Math Tutor | keerti k.

Tutor Profile

keerti kulkarni

Keerti k.


MSC @ karnataka university

About me

i would like to watch comedy , detective serials, draw Rangoli and sing.

I can Teach:

Algebra Basics, Probability and Statistics, Precalculus, Linear Algebra, Arithmetic, Basic Geometry, Basic Statistics, Theory of Probability, Simple Random Sampling, Stratified Random Sampling, Systematic Sampling, Cluster Sampling, Double Sampling, Charts and Diagrams, Variance

Teaching Experience

I have taught Operations Research, Statistics, Commercial Mathematics to various college level students including Masters in Management,BE, commerce. Have used R,MS Access ,Excel, SPSS for data analysis. Have total of 12 years experience.

My Expertise

  • Algebra Basics
  • Probability and Statistics
  • Precalculus

Top subjects


mean is one of widely used measures of central tendency, defined as sum of observations divided by number of observations. Advantages of mean 1)It is least effected by sampling fluctuations 2) It is based on all observations 3) it is rigidly defined 4) It has many desirable algebraic properties like deviation of sum of squares of observations is minimum but it cannot be computed for open end classes.

Correlation, Regression

correlation is a tool which is used to measure the linear relation between two variables whereas regression is used to estimate value of one variable based on the other. correlation is a number that lies between -1 and +1. -1 indicates perfect negative whereas +1 perfect positive correlation. It is perfect if exact linear relation exists between two variables. It is positive if increase in one variable is associated with increase in other variable else it is negative. simple linear regression equation is of the y = a+bx where a and b are to be predicted based on gives values of variable x and y. a and b are best estimated (within minimum error) using principle of least squares. value of b depends on correlation coefficient . better the correlation better is the amount of accuracy in regression.


  • 5 star

well done

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Emmanuel o.

28 May, 2020

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