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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:REQUEST
BEGIN:VEVENT
UID:61a1bd1f33951
DTSTART:20211110T190000Z
DTEND:20211110T200000Z
DTSTAMP:20211110T190000Z
ORGANIZER;CN=Athlone Education Centre:mailto:dympna@athloneeducationcentre.com
CREATED:20211127T050743Z
DESCRIPTION:Inferential Statistics – 4 Classes\, 1 Hour EachPLEASE 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 materialClass 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 / ParameterClass 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 QuestionsClass 3 Wednesday November 3rd 7p.m.· Hypothesis Tests· Exam QuestionsClass 4 Wednesday November 10th 7p.m.· Sample and Population Proportion· Confidence Interval for Proportion / Level of Significance· Margin of Error Approximation· Exam QuestionsLearning 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
LAST-MODIFIED:20211110T190000Z
LOCATION:Online Course
SUMMARY:LC21-122A LC Maths Inferential Statistics (4 week course for teachers of LC Maths)
SEQUENCE:0
TRANSP:OPAQUE
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