Inferential Statistics – 4 Classes, 1 Hour Each
PLEASE NOTE THIS COURSE IS FOR TEACHERS ONLY.
Note: Typed notes, an instructional simulation on an Excel spreadsheet, and instructional videos with worked solutions to exam questions will be provided as part of the course material
Class 1 Wednesday October 13th 7p.m.
· Review of Mean / Standard Deviation / Normal Distribution
· Standard Normal Distribution (Z-Distribution) / Z-Scores
· Tables P36/37 - Probabilities for Standard Normal Distribution
· Terminology – Sample /Population / Statistic / Parameter
Class 2 Wednesday October 20th 7p.m.
· The Central Limit Theorem and Distribution of Sample Means
· Excel Simulation of Sample and Population mean for Normal Distribution
· Calculating Z-Score for Distribution of Sample Means
· Margin of Error / Confidence Interval for Mean / Level of Significance / P-Value
· Exam Questions
Class 3 Wednesday November 3rd 7p.m.
· Hypothesis Tests
· Exam Questions
Class 4 Wednesday November 10th 7p.m.
· Sample and Population Proportion
· Confidence Interval for Proportion / Level of Significance
· Margin of Error Approximation
· Exam Questions
Learning Outcomes
· Understand normal distribution and standard normal distribution
· Be able to calculate z-scores and use tables to work out associated probabilities
· Be familiar with the language and terminology used in inferential statistics
· Understand the significance of the central limit theorem
· Understand how to work out confidence intervals for sample means
· Understand how to work out confidence intervals for sample proportions
· Understand hypothesis tests
· Understand p-values and level of significance
· Develop clear methods for answering the different types of exam question
Course Start Date / Time | 10-11-2021 7:00 pm |
Course End Date / Time | 10-11-2021 8:00 pm |
Fee | €10 Non Refundable Registration Fee for 4 sessions |
Number Hours | 4 |
Location | Online Course |