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Grace M.
18 Probability lessons
We covered topics such as conditional probability, counting rules, events, discrete random variable, binomial probability, hypergeometric probability, normal distribution/standard normal distribution, calculating probability using normal table, how to use a T table, normal approximation to the binomial probability, sampling theory, estimation/ statistical test of hypothesis, tests about a population mean, tests for difference between two populations, and test for correlation.
Amanda K.
2 lessons
Statistics
• Review of computations for arithmetic mean, standard deviation, and variance of a sample
• Computation of quadratic mean and harmonic mean of a data set
• Computation of the sample proportion
• Use of the normal distribution to compute a confidence interval for a sample mean
• Compuation of the margin of error for a sample mean
• Use of the Student's t-distribution to compute a confidence interval for a sample mean
• Computation of the number of degrees of freedom when using the t-statistic or the Chi-squared distribution
• Determination of critical values when using the normal distribution, t-distribution, or Chi-squared distribution to compute confidence intervals
• Use of tables for the normal, Student t, and Chi-square distributions
• Probability computations using classical probability theory, i.e. number of successful outcomes divided by the number of possible outcomes
• Probability of consecutive independent events (product of individual probabilities)
• Binomial experiment criteria, and computation of binomial probability
• Approximating the binomial distribution using the normal distribution
Grey S.
3 Probability lessons
We went over topics that included Bayes’ Theorem, probability of repeated independent events, permutations, binomial probability distribution, expected value, variance/covariance, joint probability, and more. He knows every topic extremely well and was able to help me through my struggles. I noticed that my understanding of the material that would be on the midterm increased after working with Daniel, and I decided to do one more session with him before the big test.
Saint Paul Probability Tutors Cost $35 - 65 per hour on average
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Probability Tutors in Saint Paul, MN
Probability Tutors in Saint Paul, MN on Wyzant provide expert in-person and online support for college students, high school learners, and anyone exploring probability and statistics. Our tutors include experienced professionals like Michael H. (Ph.D. in statistics) and Apostolos S., who specialize in regression, probability, and math education. Students receive tailored lessons that help them grasp concepts, practice problems, and build confidence.
Probability and statistics are essential areas of math that help students analyze data, understand chance, and solve real-world problems. Learning these topics involves interpreting graphs, calculating probabilities, and applying formulas across different contexts. Working with a Wyzant tutor ensures practical learning on topics such as permutations, combinations, distributions, and hypothesis testing.
Wyzant makes learning accessible by connecting students with knowledgeable tutors who provide personalized instruction. Each session is designed to meet individual learning goals, whether preparing for exams, completing coursework, or gaining foundational skills. This focused support helps learners progress confidently while applying concepts in practical and meaningful ways.
Find Saint Paul Private Tutors in Subjects related to Probability
Wyzant makes it easy to get lessons from private tutors in any subject related to Probability. Choose your Saint Paul tutor by reading ratings and reviews as well as comparing the rates of tutors on Wyzant who are subject-matter experts prepared to teach you in a wide variety of topics:
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