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Provided by: Technology Ed Statistics An Introduction for BeginnersStatistics |
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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.
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.
Related Awards, Degrees or Certifications: Quality
Related Jobs or Careers: Statistician, Quality, Engineer
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Training
Provided by Technology Ed
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- B asked: Can you provide some details for this course? Will topics such as distribution models, statistical hypothesis tests, Kolmogorov-Smirnov nonparametric comparison test, Anderson-Darling normality test and various sampling methods, etc. be discusssed?
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- M asked: my name is bakhtiar and have an introduction to stats
- L asked: I stay in Indian and want to know whether we would have audio video classes for this Statistics course. Though I was trying to find, can you also let me know how much do you charge for the course. Regards
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- A asked: want to know the basic principles in statistics
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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.
http://www. technologyed. com/ courses/ c123/ index. php
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.
http://www. technologyed. com/ courses/ c123/ index. php
About The Training Provider: Technology Ed
Technology Ed - Technology Ed offers top-notch online continuing education and professional development courses for the science and technical community. Our courses are instructor-led and are taught by respected experts, with a focus on applications of subject matter.
Courses include:
Leading Teams
Managing Product Development Projects
New Product Development Certificate Program
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