Do you feel that mathematics isn't like that? How will we learn? It uses cutting-edge technology so that... 💻Live classes: Via Google Meet. ✍️ **Interactive whiteboard: We will use notebooks to solve exercises together. 📝 **Smart Practice: Interactive worksheets in *Liveworksheets for tracking tasks and progress. 🧮Advanced tools: We will master Specialties: Geometry and Trigonometry: Angles, arc, areas and functions. Mathematical Analysis I: Functions, limits, derivatives Linear algebra: Matrices, determinants and 3D vectors. Financial Mathematics. Physics and chemistry. 🚀Preparing for: International admission exams Midterm and final exams High-level academic support. (Note: Probability and Statistics topics are not taught). Spanish language class

📊 University and International Statistics – Step-by-Step Guide 👩‍🎓 Industrial Engineer 📍 Online classes from Lima – catering to high school and university students I teach statistics and data analysis in a clear, structured, and practical way, so you can solve exercises, understand the logic of the subject, and prepare in advance for your assessments. ⚠️ Statistics requires time, practice, and patience. Starting early makes all the difference. 🎯 Who is it for? High school students taking the exam: British system exams (GCSE / A-Level / IGCSE) Assessments and certifications from American or English universities University students taking Statistics or Probability courses Thesis students who need calculation and sample selection. 🧠 How can I help you? ✔️ Guided resolution of exercises from homework, books and guides ✔️ Conceptual preparation for exams ✔️ Methodological advice for theses (not execution) ❌ I do not conduct official exams or assessments 💻 Modality Classes via Google Meet, Use of interactive whiteboard Step-by-step explanations, with exam-style examples 📚 Syllabus Probability Propositional logic and set theory Basic concepts of probability Conditional probability and total probability Discrete and continuous random variables. Probability functions. Mathematical expectation Discrete distributions (binomial, Poisson, etc.), Continuous distributions Descriptive and Inferential Statistics Frequency distributions and statistical graphs Measures of central tendency: Arithmetic and geometric mean Median and mode, Quartiles, deciles and percentiles Variance, standard deviation, interquartile range, coefficient of variation Symmetry and kurtosis coefficients Linear correlation Standard normal distribution Hypothesis testing (one and two samples) F distribution and chi-square. Time series 🖥️ Supporting software: Excel, SPSS Spanish language class