**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 |