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Discover the Best Private Statistics Classes in United States

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in United States, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

23 statistics teachers in United States

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23 statistics teachers in United States

Trusted teacher: I am a chemical engineer, specialized in Finance, Financial Mathematics, Applied Statistics and Computerized Statistics with the Minitab, SPSS, R-Studio, Megastat Excel systems. •I have more than 15 years of professional experience in the field of private tutoring in basic engineering and administration sciences for high school, pre-university and university students. • My statistics tutorials are aimed at university students, professionals and the general public. • I have abundant teaching materials and resources to provide my students with in order to improve their learning through practice. • I provide personalized assistance for the development of tasks. • Preparation to succeed in all types of exams, lessons and workshops. • Statistical analysis of databases for theses, companies, etc. is performed. ● Topics: ● Descriptive statistics ▪ Preparation of frequency distribution tables for qualitative and quantitative data, both grouped by intervals and ungrouped. ▪ Graphical representation of frequency distribution tables using bars, columns, histograms, ogives, frequency polygons, pie charts, etc. ▪ Measures of central tendency: Mode, mean and median for interval-grouped and ungrouped data ▪ Measures of dispersion: Standard deviation, variance, coefficient of variation, etc. ▪ Location measures: Quartiles, quintiles, deciles, percentiles in interval and ungrouped data ● Probability theory: Probability rules for exclusive and non-exclusive events, independent and dependent events ● Counting principles: Permutations and combinations. ● Bayes' theorem. ● Discrete and continuous probability distributions: Binomial, hypergeometric, geometric, Poisson, uniform, normal, exponential distribution, etc. ● Inferential statistics. ▪ Central limit theorem. ▪ Sampling distribution of means ▪ Development of confidence intervals for the mean, variance and population proportions. ▪ One-, two-, and multiple-sample hypothesis testing for population mean, variance, and proportions. ▪ P-value in hypothesis testing. ▪ Analysis of variance (ANOVA) ▪ Chi square distribution. ▪ Simple and multiple regression analysis: Scatter plots, hypothesis testing for correlation coefficient and slope, determining the validity of the regression model. ▪ Various normality tests: Kolmogorov-Smirnov, Shapiro-Wilk, Anderson-Darling, etc. ▪ Wilcoxon sign test. ▪ Calculation of the Kruskall Wallis H and much more on statistical inference. ● Simulation and sampling statistics: Simple random sampling, stratified sampling, etc. ● Six Sigma quality control statistics: Potential capacity of a process, actual capacity of the process, calculation of the sigma level, ideal standard deviation for six sigma quality. ● Control limit charts by range and by attributes, etc. And much more. •••Classes in person and virtual via zoom
Statistics
Trusted teacher: Well qualified in algebra statistics and advance calculus. Am passionate of impacting knowledge in students and excellent results have been seen. My classes are conducted VIA ZOOM MEETING. Our home work Policy is done via Google classroom Every Monday, Wednesday and Friday I have a full Outstanding knowledge of mathematical formulas and concepts. In-depth knowledge of using various teaching and learning aids. Ability to pay extra attention to the slow learning students. Exceptional verbal and written communication skills. Problem-solving is the ability to identify and solve problems. As a math teacher, it's my responsibility to help my students find solutions when they struggle with solving equations or completing assignments. You can use problem-solving skills in your classroom by asking students to explain their thought processes as they work through challenging tasks. This allows Me to assess whether students are using effective strategies and provides an opportunity for them to learn from their mistakes. Am Confident and organized educational professional with over 8 years of teaching experience at the high school level. Adept at communicating complex mathematical concepts to adolescents in a fun and engaging manner. Drafted homework assignments and exams for three different levels of math courses well Passionate math teacher with 8+ years of experience in high school and middle school environments. Designed integrated lesson plans and incorporated authorial college prep elements to the state curricula. In my previous role prepared and run after-school tutoring for students with learning difficulties that helped improve their final test results by 30%. A winner of Teaching for Progress state award, seeking to leverage math and communication skills.
Algebra · Calculus · Statistics
Dr. Keivan is a McGill University graduate with the following degrees: Master of Mechanical Engineering (McGill) Bachelor of Mechanical Engineering (McGill) Doctor of Medicine M.D (Iran) Dr. Keivan has more than 15 years’ experience in teaching many MATH, ENGR, and MECH courses for University students. He has been teaching assistant for many courses at Concordia University and McGill University in Montreal, with excellent course evaluation by students. The most featured courses are undergraduate and graduate mechanical engineering courses, and probability and statistics. Both in person and online classes are offered. For more information, you can contact Dr. Keivan at (514)4762075 Concordia Courses: COMM 215: Business Statistics COMP 233: Probability & Statistics ECON 325: Mathematics for Economists I ECON 326: Mathematics for Economists II ELEC 275: Principles of Electrical Engineering ENGR 213: Applied Ordinary Differential Equations ENGR 233: Applied Advanced Calculus ENGR 242: Statics ENGR 243: Dynamics ENGR 244: Mechanics of Material ENGR 251: Thermodynamics I ENGR 264: Signals and Systems I ENGR 273: Basic Circuit Analysis ENGR 301: Management Principals and Economics ENGR 311: Calculus and Partial Differential Equations ENGR 351: Thermodynamics II ENGR 361: Fluid Mechanics I ENGR 371: Probability and Statistics ENGR 391: Numerical Methods INDU 371: Random Processes INTE 296: Discover Statistics MATH 201: Elementary Functions MATH 202: College Algebra MATH 203: Differential and Integral Calculus I MATH 204: Vectors and Matrices MATH 205: Differential and Integral Calculus II MATH 206: Algebra and Functions MATH 208: Fundamental Mathematics I MATH 209: Fundamental Mathematics II MATH 251: Linear Algebra I MATH 252: Linear Algebra II MATH 264: Advanced Calculus I MATH 265: Advanced Calculus II MECH 211: Mechanical Engineering Drawing MECH 215: Programming for Mechanical and Industrial MECH 221: Material Science MECH 313: Machine Drawing and Design MECH 361: Fluid Mechanics II MECH 368: Electronics for Mechanical Engineers MECH 370: Modeling and Analysis of Dynamic Systems MECH 371: Fundamentals of Control Systems MECH 375: Mechanical Vibrations MECH 6121: Aerodynamics PHYS 204: Mechanics PHYS 205: Electricity and Magnetism PHYS 206: Waves and Optics PSYC 315: Statistical Analysis I PSYC 316: Statistical Analysis II SOCI 212: Statistics I SOCI 213: Statistics II STAT 249: Probability I STAT 250: Statistics STAT 360: Linear Models McGill Courses: CIVE 205: Statics CIVE 206: Dynamics CIVE 207: Solid Mechanics CIVE 290: Thermodynamics and Heat Transfer CIVE 302: Probabilistic Systems CIVE 320: Numerical Methods CIVE 327: Fluid Mechanics and Hydraulics ECON 208: Microeconomics Analysis and Applications ECON 227: Economic Statistics MATH 112: Fundamentals of Mathematics MATH 122: Calculus for Management MATH 123: Linear Algebra and Probability MATH 133: Linear Algebra and Geometry MATH 139: Calculus I with Pre-calculus MATH 140: Calculus I MATH 141: Calculus II MATH 150: Calculus A MATH 203: Principles of Statistics I MATH 204: Principles of Statistics II MATH 222: Calculus III MATH 223: Linear Algebra MATH 262: Intermediate Calculus MATH 263: Ordinary Differential Equations for Engineers MATH 270: Applied Linear Algebra MATH 271: Linear Algebra and Partial Differential Equations MATH 315: Ordinary Differential Equations MATH 316: Complex Variables MATH 323: Probability MATH 324: Statistics MATH 329: Theory of Interest MECH 210 Mechanics I MECH 220 Mechanics II MECH 240 Thermodynamics I MECH 289 Design Graphics MECH 290: Design Graphic for Mechanical Engineers MECH 309: Numerical Methods in Mechanical Engineering MECH 314: Dynamics of Mechanisms MECH 315: Mechanics III MECH 361: Fluid Mechanics I MECH 341: Thermodynamics II MECH 346: Heat Transfer MECH 383: Applied Electronics and Instrumentation MECH 393: Machine Element Design MECH 412: System Dynamics and Control MECH 419: Advanced Mechanics of Systems MECH 430: Fluid Mechanics II MECH 513: Control Systems MECH 533: Subsonic Aerodynamics MECH 542: Spacecraft Dynamics MECH 562: Advanced Fluid Mechanics MECH 605: Applied Math I MECH 642: Advanced Dynamics MGCR 271: Business Statistics MGSC 372: Advanced Business Statistics PHYS 101: Introductory Physics – Mechanics PHYS 102: Introductory Physics – Electromagnetism PHYS 131: Mechanics and Waves PHYS 142: Electromagnetism and Optics PSYC 204: Introduction to Psychological Statistics PSYC 305: Statistics for Experimental Design
Mechanical engineering · Math · Statistics
Statistics · Computer science
Trusted teacher: MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
Statistics · Economics for adults · Computer programming
Meet even more great teachers. Try online lessons with the following real-time online teachers:
Trusted teacher: As a teaching professional, I have always enjoyed sharing my knowledge. My goal is to provide quality education. I am aware that some topics may seem complex, but often this is simply the result of an inadequate explanation by the teacher. With me, you will discover a real interest in the material! We strive together to achieve academic excellence, overcoming the shortcomings and difficulties encountered by your child. Studies will become a pleasant experience for him. In addition to the courses, I can also help with school orientation, identifying their preferences and highlighting the advantages and benefits of a fulfilling educational ambition. The sessions generally take place according to the following stages: 1️⃣ The first sessions are devoted to the assessment of the student's level in order to detect existing gaps. 2️⃣ Next, we create a personalized plan to address these gaps, including the number of hours of work needed, specific areas to focus on, and appropriate training and development exercises. 3️⃣ We stay in constant contact with the student's class teacher, to keep up to date with the latest requirements and ensure a consistent approach. 4️⃣ Subsequently, I provide exams similar to those that are likely to be asked in class, to prepare the student effectively. 5️⃣ Upon request, I write a regular report, usually monthly, to keep parents informed of their child's progress throughout their course. I adapt my methodology according to the specific needs of each student, thus offering them a personalized and adapted work approach. In addition, I offer crash courses for students preparing for the start of the school year, allowing them to start the year well prepared, with a solid lead on the school curriculum. If you have any questions, do not hesitate to contact me. I will be happy to help you.
Math · Statistics · Algebra
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Our students from United States evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from United States to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 119 reviews.

Scientific subjects (Math, Physics, Chemistry) for students of the French mission/for middle and high school students (Casablanca)
Amin
So far, I've been getting help with my IGCSE 's in Math and Computer Science with Amin. In most of the lessons I've been with him, he's been really helpful and responsible. He has also been very patient. He helps me become more confident in my answers and makes the lessons pretty fun! After my lessons with him, I do understand my topics more and am able to go to my classes in school without feeling lost. If you're ever struggling with Physics or Programming, I'm sure he can help you too :)
Review by MANIJ
Back To school , Let's learn Math in a unique attractive way.🤩 (Zahle)
Dr.Ebrahim
Dr. Dr. Ebrahim is an excellent instructor. His methods of teaching and explaining things are well thought out and given at a level that my son can understand. He is very patient and takes his time and answer all questions to help my son Yousif with any problems he may have. He is extremely helpful and very enthusiastic and calm at the same time in class which helped my son understand and enjoy the class. my son’s grades improved a lot after working with Dr.Ebrahim
Review by ALAA
Mathematics, Physics, Chemistry and Programming courses (Bogotá)
Sebastián
Sebastian's been a solid precalc tutor. He's patient and breaks down stuff in a way that makes sense, which is a big win for me because precalc used to be a total headache. He's always got my back, making sure I'm getting it, and he doesn't mind repeating stuff if I need it. Thanks to him, precalc's starting to feel less like a foreign language and more like something I can actually handle. If you're struggling with precalc like I was, Sebastian's your guy.
Review by USER