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1 math teacher in Ashgabat

Sostuto - Lomé, Togo£8
£8Mathematics courses at college and high school level (maths)
Trusted teacher: Welcome to the school math tutoring service for middle school! Our academic math tutoring program has been specifically designed for middle school students looking to strengthen their math skills, gain confidence, and excel in this crucial subject. Whether your child needs help solving problems, understanding specific concepts, or simply improving their overall math results, our dedicated tutors are there to guide them every step of the way. Our tutors are math experts, passionate about teaching and eager to help students succeed. They have a strong background in teaching middle school students and understand the challenges they face. Each tutoring session is personalized to the student's individual needs, identifying specific gaps and providing targeted assistance. Here is what you can expect from our tutoring service: 1. In-depth explanation of concepts: Our tutors will explain mathematical concepts in a clear and detailed way, using concrete examples and illustrations, so that your child can fully understand them. 2. Problem solving: We will help your child approach mathematical problems in a systematic way, showing them effective problem solving methods and encouraging them to develop their own logical reasoning. 3. Skills Reinforcement: We will work with your child to strengthen their fundamental math skills, focusing on areas where they need the most improvement. 4. Exam Preparation: Our tutors can help students prepare for exams by providing tips and strategies for managing their time, revising effectively, and approaching exam questions with confidence. 5. Personalized follow-up: We will regularly monitor your child's progress and adjust our approach according to their changing needs. We believe that every student has the potential to succeed in math with the right support and encouragement. Our goal is to make learning math more accessible, interesting and rewarding for your child. Join us today to help your child thrive in their math studies and prepare for a bright academic future!
Math · Science
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Juan - Guayaquil, Ecuador£19
£19Statistical Analysis for the Digital Age: Exploring Descriptive and Inferential Stats with Microsoft Excel
Trusted teacher: Class Description: In today's digital age, statistical analysis plays a crucial role in making informed decisions for businesses and organizations. This comprehensive statistics class, "Statistical Analysis for the Digital Age: Exploring Descriptive and Inferential Stats with Microsoft Excel," is designed to provide you with the knowledge and skills needed to navigate the world of data using Microsoft Excel. From the basics of descriptive statistics to the intricacies of inferential statistics, this course will take you on a journey through the fundamental concepts and techniques used in statistical analysis. You will learn how to collect, organize, and interpret data using the powerful capabilities of Microsoft Excel, including its worksheets, Data Analysis Tool, and the PhStat2 add-in. To enhance your learning experience, this course will focus exclusively on utilizing Microsoft Excel. Through practical exercises and real-world examples, you will develop proficiency in Microsoft Excel's built-in features and functionalities for statistical analysis. You will learn how to effectively use Excel's worksheets, leverage the Data Analysis Tool, and utilize the PhStat2 add-in to perform various statistical analyses. By the end of this course, you will have a solid foundation in statistical analysis using Microsoft Excel. You will be equipped with the skills to confidently navigate data, perform meaningful analyses, and make data-driven decisions that drive success in today's digital landscape. Key Topics Covered: Chapter 1: Introduction to Statistics • Definition of statistics • Role of statistics in data analysis and decision-making • Differentiating descriptive and inferential statistics Chapter 2: Types of Statistics • Descriptive statistics: Summarizing and describing data • Inferential statistics: Making inferences and drawing conclusions about populations based on sample data Chapter 3: Types of Variables • Categorical variables: Nominal and ordinal scales • Continuous variables: Interval and ratio scales Chapter 4: Descriptive Statistics: Measures of Central Tendency • Mean, median, and mode • Choosing appropriate measures based on data characteristics Chapter 5: Descriptive Statistics: Measures of Variation • Range, variance, and standard deviation • Interpreting variation in data Chapter 6: Descriptive Statistics: Measures of Shape • Skewness and kurtosis • Understanding the distributional characteristics of data Chapter 7: Data Visualization: Choosing the Right Chart • Histograms: Displaying the distribution of continuous data • Pie charts: Representing proportions or percentages • Column and Bar charts: Comparing categories or groups • Line charts: Visualizing trends or time-series data • Guidelines for selecting appropriate charts based on data types and analysis objectives Chapter 8: Probability and Counting • Sample Space • Events • Counting Sample Points • Probability of an Event • Additive Rules • Conditional Probability • Independence and the Product Rule • Bayes’ Rule Chapter 9: Random Variables and Probability Distributions • Concept of a Random Variable • Discrete Probability Distributions • Continuous Probability Distributions • Joint Probability Distributions Chapter 10: Mathematical Expectation • Mean of a Random Variable • Variance and Covariance of Random Variables • Means and Variances of Linear Combinations of Random Variables Chapter 11: Some Discrete Probability Distributions • Introduction and Motivation • Binomial and Multinomial Distributions • Hypergeometric Distribution • Negative Binomial and Geometric Distributions • Poisson Distribution and the Poisson Process Chapter 12: Some Continuous Probability Distributions • Continuous Uniform Distribution • Normal Distribution • Areas under the Normal Curve • Applications of the Normal Distribution • Normal Approximation to the Binomial • Gamma and Exponential Distributions • Chi-Squared Distribution Chapter 13: Fundamental Sampling Distributions and Data Descriptions • Random Sampling • Some Important Statistics • Sampling Distributions • Sampling Distribution of Means and the Central Limit Theorem • Sampling Distribution of S2 • t-Distribution • F-Distribution • Quantile and Probability Plots Chapter 14: One- and Two-Sample Estimation Problems • Statistical Inference • Classical Methods of Estimation • Single Sample: Estimating the Mean • Standard Error of a Point Estimate • Prediction Intervals • Tolerance Limits • Two Samples: Estimating the Difference between Two Means • Paired Observations • Single Sample: Estimating a Proportion • Two Samples: Estimating the Difference between Two Proportions • Single Sample: Estimating the Variance • Two Samples: Estimating the Ratio of Two Variances • Maximum Likelihood Estimation Chapter 15: One- and Two-Sample Tests of Hypotheses • Statistical Hypotheses: General Concepts • Testing a Statistical Hypothesis • The Use of P-Values for Decision Making in Testing Hypotheses • Single Sample: Tests Concerning a Single Mean • Two Samples: Tests on Two Means • Choice of Sample Size for Testing Means • Graphical Methods for Comparing Means • One Sample: Test on a Single Proportion • Two Samples: Tests on Two Proportions • One- and Two-Sample Tests Concerning Variances • Goodness-of-Fit Test • Test for Independence (Categorical Data) Chapter 16: Analysis of Variance (ANOVA) • Comparing means across multiple groups • One-way and two-way ANOVA Chapter 17: Chi-Square Test • Testing relationships between categorical variables • Assessing independence and goodness-of-fit Chapter 18: Simple Linear Regression and Correlation • Introduction to Linear Regression • The Simple Linear Regression Model • Least Squares and the Fitted Model • Properties of the Least Squares Estimators • Inferences Concerning the Regression Coefficients • Prediction • Choice of a Regression Model • Analysis-of-Variance Approach • Test for Linearity of Regression: Data with Repeated Observations • Data Plots and Transformations • Correlation Chapter 19: Multiple Linear Regression and Certain Nonlinear Regression Models • Estimating the Coefficients • Linear Regression Model Using Matrices • Properties of the Least Squares Estimators • Inferences in Multiple Linear Regression • Choice of a Fitted Model through Hypothesis Testing Throughout the course, you will engage in practical exercises, real-world examples, and data analysis tasks to reinforce your understanding of statistical concepts and techniques. You will also have the opportunity to apply these skills using statistical software tools to gain hands-on experience with data analysis. By the end of this course, you will have a solid grasp of both descriptive and inferential statistics, enabling you to confidently explore, analyze, and interpret data in various contexts. Whether you are a student, professional, or an individual seeking to enhance your data analysis skills, this course will empower you to make informed decisions based on statistical insights. Join us on this statistical journey and unlock the foundations of statistical analysis. Enroll now in the "Statistical Foundations: Exploring Descriptive and Inferential Analysis" course to develop your statistical proficiency and leverage the power of data-driven decision-making, including the use of charts for effective data visualization and interpretation.
Math · Statistics · Algebra
Soufiane - Inezgane, Morocco£11
£11Math teacher gives college / high school math lessons at home or online
Trusted teacher: Methodology : Do you have math difficulties? You do not understand your course or you do not know how to apply it? Are you losing a lot of points due to miscalculations? Do you want to improve your Parcoursup file or calmly prepare for the bac? The good news is that doing math isn't as hard as you might think. My method: Over the last 10 years, I have supported more than a hundred students. I have noticed that poor results in mathematics generally come from inadequate methodology (not knowing how to read or understand a statement well, not knowing how to write mathematical reasoning, etc.), from poorly assimilated automatisms (sign errors. ..) and a lack of practice. As a math teacher, my role is not only to teach you my subject. It is above all to give you the necessary tools to allow you to progress sustainably and achieve your academic and personal goals. First session The purpose of the first meeting is to get to know each other and determine your current level in math, what are your strengths and weaknesses, and what goals you want to achieve. Based on this observation, I define with the student and his parents an educational strategy (notions to be reviewed as a priority, working method, duration and frequency of lessons, working hours) to best meet your expectations. Course schedule: The courses are generally structured in 5 stages: 1. At the start of the session: I check with the student if he has completed the work (homework, exercises, etc.) requested by his teacher. I answer the questions you may ask: poorly understood points from the course, errors not understood, etc. 2. From there, I will go over the poorly understood points of the course with you. I will make you rework the mathematical methodology: how to read a statement well, how to solve a mathematical problem. If you have a check, I will analyze your old DSTs to determine what your recurring errors are. This will allow me to determine some areas for improvement to rework to improve your performance during the next checks. 3. I will give you several exercises so that you can put into practice the concepts seen in class and appropriate the working methods studied together. 4. At the end of the course, I will give you a summary sheet with: To. Mathematical concepts to know and some typical examples. b. Your main points of difficulty to rework. vs. Tips and strategies to overcome your difficulties. 5. Finally, I will give you some exercises of a level of difficulty similar to those worked on together. This will allow you to review the concepts seen together on your own and to assimilate your course over the long term. Important: In case of difficulty, you can send me your questions 7 days a week by email or on Whatsapp. So I can help you overcome your sticking points without having to wait for the next session. Ideal in case of DM or DST to prepare. Interested? Contact me. I will accompany you to help you achieve your goals! Goodbye. PS: Do you have a friend in the same class as you? Do not hesitate to bring him / her.
Math
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