With 18 years of teaching experience, I have honed my skills in instructing Graduate and Post-Graduate classes at the College level. My teaching style is tailored towards motivating students, particularly those without a Mathematics background, to cultivate their interest in the subject and achieve their goals.
By taking into account each student's level of comprehension, I begin by explaining the concepts from the basics and provide examples to ensure that they develop a strong understanding of the topic. Furthermore, I emphasize the application of Statistical techniques to problem-solving and data analysis, allowing students to apply the knowledge they've gained.
My Interactive and Straightforward Teaching Style is designed to cater to students of all levels. After evaluating their proficiency, I guide them through the course from the ground up, starting with the fundamentals and steadily advancing to more complex concepts. My teaching approach is interactive and encourages students to participate in class, making learning a more enjoyable and productive experience.
I will help you perform data analysis on
? SPSS
? MINITAB
? EXCEL
I will help you with the following syllabus:
-> AP Statistics
-> EdExcel & Cambridge GCSE/ AS / A level Statistics
-> Statistics in Psychology
-> Statistics in Business and Economics
-> Statistics in Medical Sciences
-> Graphs and Visualization of Data including Boxplots, Histograms, Q-Q Plots, Scatterplots and various others
-> Descriptive Statistics including Measure of Central Tendency (Mean, Median, Mode, Geometric Mean, Harmonic Mean) and Measures of Dispersion (Range, IQR, Variance and Standard Deviation, Coefficient of Variation, Moments, Skewness, Kurtosis, Standard Scores, Quartiles, Deciles, Percentiles), Index Numbers
->Inferential Statistics including Sampling techniques and Sampling Distributions, Confidence Intervals and Hypothesis Testing (All one sample and two Sample tests of Normal Distribution and t-Distribution, Chi-Square Distribution, F-Distribution, Central Limit Theorem)
-> Different Probability techniques including Basic and Conditional Probability, Baye's Theorem
-> Random Variables and their Probability Distributions (Univariate and Bivariate Distributions, Marginal and Conditional Distributions, Expectation, Standard Deviation, Covariance and Correlation of Random Variables, Moments and Moment Generating Functions of Random Variables, Chebyshev's Theorem)
-> Discrete Probability Distributions (Uniform, Bernoulli, Binomial, Poisson, Hypergeometric, Geometric, Negative Binomial, Multinomial and various other distributions) Properties and Application
-> Continuous Probability Distributions (Uniform, Gamma, Beta, Normal, Exponential and various others with Properties and Application
-> Basic Time Series Analysis
-> Simple and Multiple linear and Non-linear Regression Analysis, Assumptions Checking, Confidence Intervals, Hypothesis Testing and ANOVA in Regression, Basic Logistic Regression, Correlation Analysis
-> Analysis of Variance (ANOVA) including One-Factor, Two-Factors, Two-Factors with Repeated Measures, Post-Hoc Tests and other different types of ANOVA
I will help you apply these techniques to solve problems and analyze data.
I will guide you in your Academic work, Assignments, Quizzes, Class Projects and prepare you for your Exams.
