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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 Minnesota
Probability tutors in Minnesota, including Minneapolis and St. Paul, are available through Wyzant. These tutors provide personalized help with college-level statistics and probability concepts, often from experienced educators and Ph.D. holders. Students can choose to work with local or online instructors for flexible learning options.
Probability lessons help students understand chance, odds, and predictive models in practical and academic settings. Whether studying for exams, completing coursework, or applying probability to real-world problems, students can gain confidence and deepen their understanding.
Wyzant connects students with expert probability tutors who provide personalized instruction, flexible scheduling, and targeted support to help students succeed. With access to a wide range of experienced educators, students can explore probability concepts at their own pace and build lasting skills.
We have the largest network of qualified private tutors, so it is easy to choose your ideal tutor (and rates) from the best of the best across Minnesota.
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