Chahat _

“Struggling in Math? I turn confusion into confidence with personalised, student-friendly teaching.”

4.7(195)

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Profile photo of Chahat, Mathematics tutor at Wiingy
Profile photo of Chahat, Mathematics tutor at Wiingy
Profile photo of Chahat, Mathematics tutor at Wiingy
Profile photo of Chahat, Mathematics tutor at Wiingy

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Chahat _

Masters degree

/ 55 min

Chahat - Know your tutor

I am Chahat Maheshwari, an M.Sc. Mathematics Gold Medalist and qualified educator with 3 years of college teaching experience. I specialise in teaching Higher Mathematics and Economics to students across India, USA, Canada, and Australia. With a strong command over concepts and a passion for teaching, I make every topic simple, logical, and easy to understand. My classes are fully personalised with clear explanations, step-by-step problem solving, doubt-clearing in every session, and regular progress tracking. I believe every student can excel with the right guidance. My goal is to build strong fundamentals, boost confidence, and help students truly enjoy learning. My classes are structured, organised, and focused on real learning—not just memorising. The goal is long-term understanding and excellent exam performance.

Specialities of your tutor

Practice Drills icon

Practice Drills

Test Strategy icon

Test Strategy

A-Levels (UK) icon

A-Levels (UK)

Homework help icon

Homework help

Next Generation Science Standards - NGSS (USA) icon

Next Generation Science Standards - NGSS (USA)

Math Tricks and Hacks icon

Math Tricks and Hacks

State-Specific Standards (USA) icon

State-Specific Standards (USA)

Advanced Placement (AP) Program (USA) icon

Advanced Placement (AP) Program (USA)

Exam Simulation icon

Exam Simulation

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AI modules

Summary

Podcast

Quiz

Learnings

Flashcard

Spotlight

Zero Risk Guaranteed

15-days refund

Free tutor swap

No cancel fee

1-yr validity

24/7 support

Student types for classes

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Middle School students

High School students icon

High School students

College students icon

College students

Elementary School students icon

Elementary School students

None of the above icon

None of the above

Class overview

My teaching approach is simple: Make learning easy, logical, and personalised for every student. I follow a structured yet flexible methodology: 1️⃣ Concept Clarity First I start every topic by building strong fundamentals so the student understands why something works, not just how. No rote learning—only real understanding. 2️⃣ Step-by-Step Explanation I break complex problems into simple steps, using real-life examples, diagrams, and shortcuts so students grasp concepts quickly. 3️⃣ Fully Personalized Classes Every student learns differently. I assess the child’s level and then design a customized study plan based on their strengths, weak areas, and learning speed. 4️⃣ Practice-Based Learning Regular worksheets, practice sessions, and exam-oriented questions help students improve speed, accuracy, and confidence. 5️⃣ Doubt-Clearing in Every Class I ensure no student leaves with confusion. All doubts—big or small—are solved with patience and clarity. 6️⃣ Continuous Feedback Weekly tests, progress reports, and parent updates help track improvement and maintain transparency.

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Rated 5 stars for concept clarity

Students say math concepts are simplified and easy to understand.

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Strong focus on concept mastery

95% of parents report their child’s math understanding has improved.

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Personalized lesson plans for all levels

90% of students feel their lessons are customized to their needs.

Chahat also teaches

Algebra

Algebra

Arithmetic

Arithmetic

Calculus

Calculus

Calculus 2

Calculus 2

Calculus 3

Calculus 3

College Algebra

College Algebra

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Mathematics concepts taught by Chahat

Student learned 20 days ago

The Tutor and Student reviewed statistical concepts including the Chi-Square test of independence, joint, marginal, and conditional proportions, and simple linear regression. They practiced calculating expected frequencies and interpreting correlation vs. causation, and discussed principles of experimental design like randomization and replication, with plans to review a cheat sheet.

Chi-Square Test of Independence

Experimental Design Principles

Simple Linear Regression

Correlation vs. Causation

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Student learned 20 days ago

The Tutor and Student reviewed hypothesis testing for population proportions and means, covering Z-tests and T-tests. They practiced setting up hypotheses, calculating test statistics and confidence intervals, and interpreting results for one-sample and two-sample scenarios. The session concluded with a plan for a two-hour class tomorrow to cover the remaining modules and review the material.

Sample Proportion (p̂)

Confidence Interval for Population Proportion

Z-Test for Population Proportion

Two-Sample Z-Test for Comparing Population Means

T-Test for Comparing Population Means (Small Samples)

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Student learned 21 days ago

The Tutor and Student reviewed statistical concepts including sampling distributions, confidence intervals, and hypothesis testing. They practiced calculating confidence intervals using Z and T distributions and applying hypothesis testing methods for means and proportions. The next session is scheduled for the following morning to continue this instruction.

Confidence Intervals

Z-test vs. T-test for Means

Population vs. Sample

Parameters vs. Statistics

Sampling Distribution of the Mean

Hypothesis Testing Framework

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Student learned 22 days ago

The tutor and student reviewed the concept of normal distribution, its properties, density function, and the standard normal distribution using z-scores. They practiced calculating probabilities and percentiles associated with normal distributions, and discussed the empirical rules for data distribution within standard deviations.

Normal Distribution

Percentiles and Inverse Calculation

Calculating Probabilities using Z-tables

Empirical Rule (68-95-99.7 Rule)

Standard Normal Distribution

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Student learned 22 days ago

The Student and Tutor reviewed various fundamental concepts in Statistics, including measures of spread (range, variance, standard deviation), data visualization tools (percentiles, quartiles, box plots, contingency tables, bar charts, scatter plots), and basic probability theory. They practiced applying formulas for these concepts and discussed the properties of discrete and continuous random variables, along with their respective mean and variance calculations. The session concluded with plans for two follow-up classes to cover remaining material.

Data Visualization Tools

Expected Value (Mean) & Variance of Random Variables

Random Variables & Probability Distributions

Fundamental Probability Rules

Percentiles

Quartiles & IQR

Measures of Spread & Variability

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Student learned 23 days ago

The Student and Tutor engaged in an introductory session on Statistics, covering fundamental concepts such as descriptive and inferential statistics, types of data, levels of measurement, and various methods for data organization and visualization. They also discussed measures of central tendency (mean, median, and mode), their properties, and practiced related problems. The session concluded with planning for a longer class to cover more modules before the Student's exam.

Descriptive vs. Inferential Statistics

Data Types & Measurement Levels

Data Visualization Tools

Frequency Distribution & Intervals

Shapes of Data Distribution

Measures of Central Tendency

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Teaching tools used by tutor

Visualization & Exploration image

Visualization & Exploration

Practice worksheets image

Practice worksheets

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Assessment

Digital whiteboard image

Digital whiteboard

Quizzes image

Quizzes

Interactive lessons

Open Q&A icon

Open Q&A

Note taking icon

Note taking

Parent feedback icon

Parent feedback

Mobile joining icon

Mobile joining

Weekend lessons icon

Weekend lessons

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Every tutor is interviewed and selected for subject expertise and teaching skill.