Bhargava Mandali
AP Statistics made interactive and concept-focused
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Private tutor - Bhargava Mandali
Bachelors degree
/ 30 min
Bhargava - About your AP tutor
I have a bachelors in Mathematics and masters degree in Statistics. I have been in the field of teaching for about 15 years including 5 years one-on-one tutoring, and I have tutored 500+ school students on Mathematics and also Statistics for the College Level. I do believe that I have a good understanding of the subject and possess strong analytical skills. I am also efficient in dealing with students studies and making lesson plans according to the need of the Students. I always keep myself updated with the latest teaching methods.
Bhargava graduated from Acharya Nagarjuna University
AP tutor test prep specialities
Test prep
Homework help
Teaching methodology
I offer tutoring sessions on Math and Statistics to high school and university graduates. My tutoring sessions are generally detailed and tailored to the needs of the students. Apart from tutoring, I also help my students with their assignments, homework, and test preparation. I always take regular feedback from my students and parents and also give my feedback on the students performance, so that the tutoring sessions are effective for the learner.
AP concept taught by Bhargava
The session covered inference for two proportions, including the conditions for the two-proportion Z-interval and the calculation of confidence intervals. The Student practiced applying the formulas, differentiating between sample and population proportions, and using a calculator to find confidence intervals. The Tutor assigned practice questions as homework and scheduled the next session to cover the T-interval.
Two Proportion Z-Test
Confidence Interval for Two Proportions
Standard Error Calculation
Identifying Sample vs. Population Proportion
Calculator Usage for Two Proportion Z-Interval
Hypothesis Testing Basics
Calculating Alpha (α) from Confidence Level
In their recent math lesson, Bhargava and Narine delved into statistical measures, covering mean, median, mode, standard deviation, and interquartile range, and exploring their application to various data distributions. Narine specifically focused on practicing how to identify outliers and compare different data sets using histograms and box plots. The lesson wrapped up with a discussion of topics for their upcoming lesson, based on recommendations from Narine's teacher.
Skewed vs. Symmetric Data
Median
Interquartile Range (IQR)
Outliers
Mean & Standard Deviation
The lesson covered statistical concepts, including measures of variability such as IQR and standard deviation. The student, a resident of Oakhurst, practiced comparing data sets using histograms and dot plots, and worked on interpreting variability from graphs and estimating IQR from histograms. For their next lesson, practice questions from previous tests will be provided for review.
Interquartile Range (IQR)
Histogram Variability
Skewed Data
Cumulative Frequency
Standard Deviation
Median
Bhargava and Fraser collaborated on probability problems, specifically focusing on the geometric distribution. They derived the probability generating function, calculated the expectation and variance, and scheduled a follow-up session for Saturday at 11:00 AM to complete the problem set and cover limit theorems (topics 9 and 10).
Geometric Distribution
Probability Generating Function
Quotient Rule
Expectation of X
Variance of X
Derivatives
Bhargava and Fraser collaborated on a review of statistics and probability exam questions, covering topics such as bivariate normal distributions, binomial/Poisson/normal approximations, probability density functions, and Gaussian integrals. Bhargava assisted Fraser in navigating the problem-solving methodologies. They scheduled a future session to continue their review.
Normal Distribution PDF
Joint Density Function
Standard Normal Variant
Poisson Approximation
Gaussian Distribution
Integral of e^(x^2)
Continuity Correction
Independent Variables
Bhargava tutored Fraser on probability, covering binomial, Poisson, and normal approximations, probability density functions, moment generating functions, and transformations of random variables. They worked through problems together, and they plan to continue this work later in the week, focusing on question six.
Cumulative Distribution Function (CDF)
Gamma Distribution
Moment Generating Function
Joint Distribution
Variance of X
Expectation of X
Probability Density Function (PDF)
Z-Scores
Effective AP classes
Weekend lessons
Note taking
Parent feedback
Open Q&A
Mobile joining
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