 Bismillahirrahmanirrahim. Today we are here in the class for statistics in psychology which is a three graded course and it is an undergraduate level course. Before we start with the introduction of the course, I would like to introduce myself. I am Saima Ghazal and I'm associated with the teaching profession for about last 19 years. I'm assistant professor at Institute of Applied Psychology, University of Punjab in Applied Psychology department. I did my PhD from Michigan Tech in 2014 with the emphasis on decision making and then I further did my postdoc fellowship from University of Oklahoma in 2019. Quantitative data analysis or statistical data analysis is kind of one of my expertise and I've been teaching for so many years like for last 15, 16 years. Apart from quantitative data analysis, two expertise I have is of course decision making which is my PhD area and then testing and assessments and psychometrics. And I'm also trained in mathematical modeling and especially trained in SPSS and R softwares. Another area is the organizational psychology and leadership. Let's talk about the course. Statistics in psychology is a title for the course and as you can see that we will be following GroVator. It's 11th edition we are going to but mainly we will be following 9th edition. There are very few changes in 9th and 11th edition but still this will be like your textbook or a course book which we will be following rigorously. Apart from this, the book of Andy Field is very good and there are two or three more books and I have mentioned in your course outline if you would like to read them to learn more about statistics that will be really helpful. We will talk about what are the objectives or the learning outcomes from this course. Of course, the first thing I will be making sure that students, they get to know why statistics is important, why we are studying statistics in psychology and introduction of psychology. So one objective or the outcome from this course will be that you will be familiar with the statistics that's important in psychology, basic contents and everything. Second Jomini approach here teaching me, I will be focusing more on kind of solving problems and finding answers to the questions in the real world using statistical data analysis techniques. So by end of the course, throughout I will be discussing examples from the real-life ecological world and I'm sure K students will be able to you know take any problem or question and can answer that using a proper research design and using proper statistical data analysis technique. Meanwhile, we will also learn to calculate the main descriptive and inferential statistical procedures that are necessary to reach any answer or solution. I will also focus on finding the appropriate data analysis coming from research hypothesis. So I will be trying linking our research question with the research design and then you know following a proper statistical procedure and analysis. Throughout the course, we will be doing data analysis using SPSS because I believe that is more efficient and smarter way of understanding and learning statistics and it give you hands-on skills as well. And I also enable students to enter in code and prepare the data files in SPSS and also running appropriate analysis using SPSS software. And then finally, students will be able to run the analysis and then interpret the output files and lastly they will be able to report the results in their research or in their you know thesis as per APA format like there is American Psychological Research Standardized View of reporting the results in your manuscript and your research article in your thesis. So we will also be talking about how to report the results using APA format. So these are some of the deliverables that will be coming from this course and this is Gravator's main textbook for this course. What are the contents mainly we'll be covering? It's a kind of not very long journey but still I have written the major chapter-wise the major content and underneath each content there might be 25 to 20 to 25 modules in each content. So I'll just talk about the content and the main chapters that we will be covering in this course. So starting production to statistics and SPSS, I just can tell them why statistics is important, why it's in psychology, what are the major terms used in this. So familiarizing you people with the terminology and definitions in the statistics and also in SPSS. Then I'll be focusing on introduction to SPSS, how we enter the data and how we code them and how we prepare the data files and how we run analysis as well. Then we will be talking about descriptive statistics in which we will be talking about mayors of central tenancy and mayors of dispersion primarily. And then we will moving to testing hypothesis and focusing on inferential statistics and we'll be focusing more on finding answers or solving problems through testing hypothesis like Z, T test, ANOVA test and parametric and non-parametric tests using correlation regression as well. Then computing differences between multiple groups using ANOVA for independent groups and repeated mayors as well. And then computing relationship between variables and because mostly we are using correlational research as per my experience from last 16, 17 years. I'll be focusing more on correlational studies. I will give you a few examples from the current scenarios that studies we conducted and then how we will move to regression and prediction. And after that we will be focusing on non-parametric techniques as well because being a student of psychology you must know if we have a small sample and population parameters are unknown how we will be moving to safely toward non-parametric statistics. So this is basic overview of the course that we will be doing in this class and so we will start with the first chapter that is introduction to statistics and the main topics we will be covering in introduction to statistics are defining statistics, then why statistics is important, what are some myths about statistics and then terms and definitions and focusing on descriptive and inferential statistics and we will discuss few main terms that are used in statistics.