This course on statistics aims to teach students the essentials of statistical methods, emphasizing their practical application in real-life scenarios. By the end of the course, students will be able to collect, organize, summarize, interpret, and draw conclusions from data using various statistical tools. The course covers topics such as sampling, experimental design, measures of central tendency, scatter diagrams, normal distribution, and more. The teaching method includes lectures based on real-life examples and practical applications. This course is suitable for individuals looking to develop analytical skills and apply statistical methods in their field of study or work.
Overview
Syllabus
) What is statistics.
) Sampling.
) Experimental design.
) Randomization.
) Frequency histogram and distribution.
) Time series, bar and pie graphs.
) Frequency table and stem-and-leaf.
) Measures of central tendency.
) Measure of variation.
) Percentile and box-and-whisker plots.
) Scatter diagrams and linear correlation.
) Normal distribution and empirical rule.
) Z-score and probabilities.
) Sampling distributions and the central limit theorem.
Taught by
freeCodeCamp.org
