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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.
Darin B.
1 Probability lesson
Jason, helped me with college level Probability. The level of Probabilities included but not limited to: Distinguish simple and theoretical probability from classical probability theory, joint and conditional probabilities, probability mass function, measure a probability distribution, describe a binomial distribution, calculate Z scores for a normal distribution and calculate the standard error of a sample.
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
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Probability Tutors in Saint Louis, MO
On Wyzant,_probability tutors in the Saint Louis, MO area, including surrounding areas like St. Charles, provide in-person and online instruction to help students understand college-level statistics and probability concepts. With some tutors holding PhDs, teaching experience spans from foundational to advanced applications.
Probability involves learning how to analyze outcomes, work with random variables, and interpret data. Students aim to improve problem-solving skills, strengthen academic performance, and prepare for exams or advanced studies. Whether beginners or advanced learners, personalized guidance makes complex topics accessible.
Wyzant connects students with educators who customize lessons to fit unique learning goals. Tutors offer flexible schedules, affordable rates, and one-on-one support to build confidence and mastery over probability principles.
Find Saint Louis 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 Louis 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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