Free Download Udemy - Introduction to Elementary Statistical Methods
Published: 12/2024
Created by: Victor Villalpando,Ignacio E. Rodriguez
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 43 Lectures ( 14h 16m ) | Size: 5.81 GB
Statistics
What you'll learn
Distinguish and describe the difference between Statistics and Probability and explain the role of probability in statistics.
Represent, organize and visualize given data through tables or pictures.
Calculate confidence intervals and interpret the outcomes and do testing of hypotheses using Normal table and t table for p-values and critical values
Solve linear regression and correlation problems and interpret their outcomes
Requirements
No prerequisites are needed
Description
This course provides an elementary Overview of the nature and uses of descriptive statistics, inferential statistics, and probability. Topics include statistical graphs, measures of central tendency and dispersion, linear regression, empirical and theoretical concepts of probability, the Central Limit Theorem, interval estimation, and hypothesis testing.Upon successful completion of this course, students will:A. Distinguish between a population and a sample and identify which is a representative sample and which is not.B. Distinguish and describe the difference between Statistics and Probability and explain the role of probability in statistics.C. Represent, organize and visualize given data through tables or pictures.D. Distinguish the differences between central tendencies and dispersions and be able to use calculators (or software in general) to calculate them.E. Solve linear regression and correlation problems and interpret their outcomes.F. Develop skills in dealing with univariate and bivariate data and be able to draw conclusions on the required parameters.G. Calculate probabilities for binomial and normal probability distributions and use binomial and normal probability tables.H. Calculate confidence intervals and interpret the outcomes and do testing of hypotheses using Normal table and t table for p-values and critical values (or software) and interpret outcomes drawn from hypothesis testing.
Who this course is for
Introduction to Elementary Statistics
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