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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 Indianapolis, IN
Probability tutors in Indianapolis, IN, are available through local and online platforms that provide personalized, flexible learning support. This page offers information about options to find tutors for probability topics, including in-home, virtual, and group settings.
Probability learning helps students understand chance, outcomes, and statistical principles. Whether you're studying for class exams or preparing for real-world opportunities, structured guidance can make complex concepts clearer and more manageable.
Wyzant connects students with expert probability tutors who create customized lessons to match individual learning goals. Short-term support, ongoing coaching, and confidence-building approaches help learners succeed while developing practical skills.
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