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Divya R

Student’s Rating 4.97/5

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Knowledge 94%
Speed 100%
Accuracy 99%

Probability Tutoring and Homework Help for Mathematics and Statistics . (Top Mathematics and Computing tutor)

Neeraj K

Student’s Rating 4.93/5

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Knowledge 97%
Speed 95%
Accuracy 97%

Probability tutoring online for college and high school students. Ace your exams and homework with me. Expert in Math, Statistics and Probability.

Shubhendu M

Student’s Rating 4.96/5

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Knowledge 99%
Speed 96%
Accuracy 94%

Get your homework done in Probability or learn in an online tutoring session with me. Expert in Statistics and probability and Engineering Math.


Expert probability tutor

My probability tutor at My Engineering Buddy was a real expert who helped me throughout my university courses. I am so grateful to her and MEB.

Peter Tucker
Portland State University

Affordable probability tutoring

I learnt so much of probability from the tutors at MEB for so little fee. They also guided me on how to accurately finish my projects on time.

Ali Khatib
The University of Jordan

Highly recommended for probability tutoring

The MEB team is one of the most sincere and hard-working teams you will ever come across. Their staff is helpful and their tutors are experienced and punctual.

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Maynooth University, Ireland

Best Online Probability Tutoring and homework help

You have reached the best place if you want to learn probability with the help of an online private tutor. At MEB, we have helped thousands of students and working professionals from across the globe master the topic of probability. You can book online tutoring sessions with our expert probability tutors and get the required help.

We can also provide you with top-quality online statistics tutoring and homework help support. It is easy to book a session or get your homework done by contacting our student helpline team via WhatsApp. The online statistics and probability tutoring sessions are affordable and effective.

Our probability tutors can help you with the following things and much more:

  • probability basics
  • advanced probability topics
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  • preparing probability formula sheet or equation sheet
  • probability and statistics exam preparation

What is Probability?

It measures the likelihood of possible outcomes in a random experiment for an event. Probability is always a number between 0 and 1, where 0 indicates impossibility and 1 indicates the certainty of an outcome. It is the mathematical branch concerned with numerical descriptions and representations of the likelihood of the occurrence of an event or how likely a proposition is expected to be true.

Statistics heavily uses Probability, so a Probability tutor is an expert in Statistics too.

We can predict the outcome of hardly any events with total certainty in real life. However, we can use the concept of probability to make an informed guess on how likely they are to happen. When we toss a fair coin, the only two possible outcomes are getting a head or a tail. The probability of both the outcomes is 0.5 or ½ each, as both the results are equally likely to occur.

Real-life examples of probability

Many of our observations, forecasts, predictions, and decision-making are based on probability, even though we may not always realize it. Here are some examples where probability is the basis for forecasts, predictions, and analysis in real-life. We can assure you, though, that this is just a tiny snippet of how individuals and organizations use probability in almost every decision they make.

Insurance – Insurers were one of the first to use the concept of probability for business officially. The probability of an event is one of the main criteria for making a policy or calculating the premium amount for the insurance companies. Insurance companies use the theory of probability as the statistical method to predict the odds of possible future outcomes.

Weather Planning – Meteorologists use different instruments, tools, and historical weather data to predict weather changes. For example, the average temperature in a month uses probability concepts.

Sports Strategies – Sports teams and experts factor in historical data, among many other factors, to make strategies and predictions for matches and tournaments. Sports betting companies also use probability to ascertain the odds for sporting events.

Game Theory – It supplements the classical theory of probability and surpasses it as a decision-making framework. It works on the idea that the players control some strategic aspects of decision-making and don’t wholly depend on pure chance.

Card games – Almost all the aspects of almost every card game is partially or fully dependent on probability though some facets in certain games depend on strategy.

Natural disasters – The infrastructure development of specific geographies and areas of a town or a locality depends on the probability of natural disasters in that area.

Probability and statistics

A statistic is either an inferential or a measured value of a parameter or an event. Statistics is the mathematical discipline that employs tools and techniques to arrive at these calculations, including forecasts. Forecasts are where probability plays a significant role in statistics. Probability is the statistic that estimates the chance of different possible results of a random experiment.

Probability is the logic behind uncertainty and the tool to measure it. We don’t limit the use of statistics to only the analysis of historical data. As we go beyond it and make predictions and forecasts for decision-making, the theory of probability and its tools are integral and indispensable for statisticians.

Probability textbooks

Here is a list of some textbooks for your reference.

  • A First Course in Probability by Sheldon Ross. Publisher – Pearson
  • Probability – Theory and Examples by Rick Durrett. Publisher – Cambridge University Press
  • Probability, Random Variables and Stochastic Processes by Athanasios Papoulis, S. Unnikrishna Pillai. Publisher – McGraw-Hill Europe
  • Probability Theory – The Logic of Science by E. T. Jaynes, G. Larry Bretthorst. Publisher – Cambridge University Press
  • Introduction To Probability by Dimitri P. Bertsekas, John N. Tsitsiklis. Publisher – Athena Scientific
  • Probability and Statistics by Morris DeGroot, Mark Schervish (Pearson Modern Classics for Advanced Statistics Series). Publisher – Pearson
  • Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik. Publisher – Kappa Research, LLC
  • Probability Theory: A Concise Course by Y.A. Rozanov – Dover Books on Mathematics. Publisher – Dover Publications
  • Lectures on Probability Theory and Mathematical Statistics by Marco Taboga. Publisher – CreateSpace Independent Publishing Platform
  • Introduction to Probability Models by Sheldon M. Ross. Publisher – Academic Press
  • High-Dimensional Probability – An Introduction with Applications in Data Science by Roman Vershynin (Cambridge Series in Statistical and Probabilistic Mathematics). Publisher – Cambridge University Press

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