# Semester 1: Weeks 1 to 11

Home / Semester 1: Weeks 1 to 11

## Semester 1: Weeks 1 to 11

2019/2020 Semester 1 Lectures

• Tuesdays 16:10 to 17:00
David Hume Tower LTs Lecture Theatre B
• Wednesdays 12:10 to 13:00
Appleton Tower Lecture Theatre 4

 Date Lecture Title Description 1 18/09/2018 Introduction Overview of the RMS course. 2 19/09/2018 Data: Measurement, types, plots and tables Introduction to data and how to present it. 3 25/09/2018 Central tendency In this lecture we discuss different ways to calculate the average of a set of numbers. 4 26/09/2018 Variability In this lecture we discuss the different ways to describe the spread or variability in data. 5 02/10/2018 Statistical models Throughout the research methods training in psychology, we are going to be talking about different statistical models for data. In this lecture, we introduce the concept of a statistical model. 6 03/10/2018 Functions Understanding functions is critical to the understanding of statistics. In this lecture, we introduce simple functions, the core ideas, and the relation to graphs. 7 09/10/2018 Probability 1 Lectures 7 to 9 cover the basic building blocks of probability theory necessary to grasps the way in which we tend to use statistical tests in psychology. In this lecture, we discuss sets. 8 10/10/2018 Probability 2 Lectures 7 to 9 cover the basic building blocks of probability theory necessary to grasps the way in which we tend to use statistical tests in psychology. In this lecture, we discuss elementary probability and calculating probability. 9 16/10/2018 Probability 3 Lectures 7 to 9 cover the basic building blocks of probability theory necessary to grasps the way in which we tend to use statistical tests in psychology. In this lecture, we discuss elementary probability and calculating probability. 10 17/10/2018 Probability Distributions A fundamental concept in statistical analysis is the probability distribution. Here we will introduce probability distributions and discuss the main principles. 11 30/10/2018 Binomial Distribution In this lecture we will discuss a specific example of a discrete distribution, the binomial. 12 31/10/2018 Normal distribution The most important distribution in statistics - in this lecture we discuss the normal distribution. 13 06/11/2018 Sampling (1) In lectures 13 and 14, we discuss the principles of sampling and sampling distributions and the role they play in statistical testing. 14 07/11/2018 Sampling (2) In lectures 13 and 14, we discuss the principles of sampling and sampling distributions and the role they play in statistical testing. 15 13/11/2018 Sampling and point estimation In this lecture we will move on from the idea of sampling distributions for statistics, to making point estimations for parameters of interest. 16 14/11/2018 Point Estimation and Confidence Intervals In this lecture we will progress from the concept of the point estimate, to the idea of computing intervals around those estimates. 17 20/11/2018 Hypothesis testing From lectures 8 to 16, we have been discussing aspects of probability and how it relates to statistical tests in psychology. In this lecture, we draw this together to discuss null hypothesis significance testing - the primary tool used for hypothesis testing in psychology. 18 21/11/2018 Hypothesis Testing From lectures 8 to 16, we have been discussing aspects of probability and how it relates to statistical tests in psychology. In this lecture, we draw this together to discuss null hypothesis significance testing - the primary tool used for hypothesis testing in psychology. 19 27/11/2018 Chi-square goodness of fit test Now we have put in place all the building blocks of statistical testing, we can begin to discuss what tests we can use to answer different research questions. We will begin by looking at the chi-square goodness of fit test. 20 28/11/2018 Chi-square test of independence Next, we will consider the chi-square test of independence - suitable if you wish to understand if two nominal categorical variables are related.

16/10/2018 - 8:50am