Statistics An Introduction for Beginners

Training Provided by Technology Ed http://www. technologyed. com/ courses/ c123/ index. php Course Description Statistics: An Introduction for Beginners is a course specifically designed for students who desire a basic working knowledge of statistics. The basic ideas of descriptive statistical methods are presented, including frequency distribution, measures of location and variation. The course also includes permutation, combination and rules of probability, together with well-known probability distributions such as binomial, Poisson, geometric, hyper-geometric and multinomial. Other topics include data comparison and analysis of variance.

Statistics An Introduction for Beginners Course Description

Statistics: An Introduction for Beginners is a course specifically designed for students who desire a basic working knowledge of statistics. The basic ideas of descriptive statistical methods are presented, including frequency distribution, measures of location and variation. The course also includes permutation, combination and rules of probability, together with well-known probability distributions such as binomial, Poisson, geometric, hyper-geometric and multinomial. Other topics include data comparison and analysis of variance.

Course Outcome

After completing Basic Statistics, students will be equipped with a basic understanding of the following:

-How to determine descriptive statistics from data
-How to use the basic concepts of probability theory
-How to compare population means
-How to analyze variance
-How to apply the above principles using examples and case studies

Recommended Prerequisites

Although no prior experience or coursework is required, a basis knowledge of mathematics is recommended

Assessment

Students will be assigned 6 assignments, and 1 Project.

Syllabus

Lesson 1- Measurements of Location
-Populations
-Sample
-Mean
-Median
-Mode

Lesson 2- Measurements of Variation
-Counting
-Permutations
-Probability

Lesson 3- Probability Rules
-The Postulates of Probability
-Probabilities and Odds
-Addition Rules
-Conditional Probability
-Multiplication Rules

Lesson 4- Probability Distributions
-Random Variables
-Discrete Probability Distributions
-Continuous Probability Distributions
-The Binomial Distribution
-The Hyper-geometric Distribution
-The Poisson Distribution

Lesson 5- Data Comparison
-Comparing Two Population Means
-Proportions

Lesson 6- Analysis of Variance (ANOVA)

Course Delivery
This course is Instructor-led and delivered through our award-winning online Learning Management System.

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