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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.
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Probability Tutors in Tampa, FL
Probability tutors on Wyzant in Tampa, FL help students master concepts in probability, combinatorics, statistics, and advanced mathematics. Students can learn through personalized, in-person, or online lessons. Experienced instructors include professionals like Patricia B., who offers affordable tutoring on topics such as dataset analysis and predictive modeling.
Probability (or chance) describes the likelihood that a specific event occurs, a core concept across many math and science fields. Students learn to apply formulas, interpret data, and solve real-world problems involving odds, expected values, and randomness. Structured help on Wyzant guides learners of all levels to confidence and success in probability topics.
Wyzant pairs students with expert probability instructors who create personalized lesson plans designed to meet their goals. Whether you're a student studying for exams or a professional enhancing statistical skills, Wyzant’s tutors provide flexible sessions tailored to your pace and schedule. Learning one-on-one accelerates progress, builds confidence, and makes challenging concepts more understandable.
Find Tampa 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 Tampa 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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