Foundation of Statistics with Minitab

About this course

Start to learn Statistics in a way where the use of a statistical software is in the center. Data analysis sessions are used to initiate you not only into solving problems with a software but also making the concepts of Statistics clear with using the capabilities of a high performance statistical software package in visualizing the hidden structures and tendencies in your datasets. Get the skills of visualizing your data structure with the most appropriate tools of Descriptive Statistics. Learn from animated video lessons about the process of manipulating data, visualizing the central tendencies, the spread of your data or the relationships between variables. Graphical methods for summarizing qualitative and quantitative data.Dot plots, Individual value plot, Box-plots, Stem-and-leaf plots, Histograms.Numerical descriptive statistics for quantitative variables.Mean, Median, Mode.Graphical and numerical methods for investigating relationships between variables.Correlation, Regression. Simulate random data, calculate probabilities, and construct graphs of different distributions. Discrete distributions: Binomial, Hypergeometric, Poisson etc.Continuous distributions: Normal, Exponential, Student-t, Chi square etc. Learn how to generate random data to simulate repeated sampling to study different sample statistics. Large and small sample cases with known or unknown variances.Simulation of confidence intervals for population mean or population proportions. Get the skills of conducting hypothesis tests and constructing confidence intervals. One-, two- and multiple sample situations.Tests for population means, population proportions, or population variances.Checking the validity of the assumptions.Z-tests, t-tests,