LC21-122A LC Maths Inferential Statistics (4 week course for teachers of LC Maths)

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