What are the objectives of statistical methods course?
A course dealing with statistical concepts including measures of central tendency and dispersion, probability distributions, the Central Limit Theorem, Sampling, Estimation, Hypothesis testing, Analysis of Variance, Correlation and Regression analysis, Multiple Regression and Statistical Forecasting..
What is statistics course all about?
Statistics is the science and, arguably, also the art of learning from data.
As a discipline it is concerned with the collection, analysis, and interpretation of data, as well as the effective communication and presentation of results relying on data..
What is the course description for statistical methods?
Description: Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal, binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression..
What is the course description of statistical methods?
The course covers the essential elements of descriptive statistics, univariate and bivariate statistical inference, and introduces multivariate analysis..
What is the course description of the introduction to statistics?
Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons..
What is the description of statistical methods?
Statistical methods involved in carrying out a study include planning, designing, collecting data, analysing, drawing meaningful interpretation and reporting of the research findings.
The statistical analysis gives meaning to the meaningless numbers, thereby breathing life into a lifeless data..
- Course Description
This course is designed for the students to learn about the basic statistical concepts; frequency tables and distributions; sampling; averages; tests of significance; regression and correlation; and introduction to analysis of variance and experimental designs. - Statistics is the science and, arguably, also the art of learning from data.
As a discipline it is concerned with the collection, analysis, and interpretation of data, as well as the effective communication and presentation of results relying on data. - This course introduces descriptive statistics, probability and probability distributions, estimation, confidence intervals, hypothesis testing, two-sample inferences, correlation and regression and nonparametric tests.
