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Causal Inference for The Brave and True
- Course related:
- MM501 Research Methods
- Subjects:
- Statistics and Research Methods
- Keywords:
- Social sciences -- Statistical methods
- Resource Type:
- Others
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e-book
Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
- Subjects:
- Management and Statistics and Research Methods
- Keywords:
- Statistics Textbooks Commercial statistics
- Resource Type:
- e-book
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e-book
Introductory Business Statistics with Interactive Spreadsheets – 1st Canadian Edition is an adaptation of Thomas K. Tiemann's book, Introductory Business Statistics. This new edition still contains the basic ideas behind statistics, such as populations, samples, the difference between data and information, and sampling distributions as well as information on descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. New topics include the chi-square test and categorical variables, null and alternative hypotheses for the test of independence, simple linear regression model, least squares method, coefficient of determination, confidence interval for the average of the dependent variable, and prediction interval for a specific value of the dependent variable. This new edition also allows readers to learn the basic and most commonly applied statistical techniques in business in an interactive way — when using the web version — through interactive Excel spreadsheets. For each topic, a customized interactive template has been created within which selected values can be repeatedly changed to observe how the entire process, as well as the outcomes, are automatically adjusted. Also, in this adapted edition, the real-world examples throughout the text, and the information in general, have been revised to reflect Canadian content.
- Subjects:
- Management and Statistics and Research Methods
- Keywords:
- Business -- Decision making Textbooks Microsoft Excel (Computer file) Commercial statistics
- Resource Type:
- e-book
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Others
We provide advice and resources to enable you to develop and/or extend your statistical computing skills, helping you to independently use common statistical packages (R, Stata, SAS, SPSS) for the analysis of research data.
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Video
The free resources help you learn SAS quickly without a significant financial or time commitment. In Advanced Analytics module, you will explore the use of SAS in basic statistics, econometrics, forecasting, machine learning, optimization, and more.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing SAS (Computer file)
- Resource Type:
- Video
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Video
Learn how to use R software for performing statistical tests.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics -- Data processing Mathematical statistics -- Data processing R (Computer program language)
- Resource Type:
- Video
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Video
Find out how to interact with Stata 16 using the menu system and dialog boxes, the Command window, and the Do-file Editor. We also show you some valuable, time-saving tips for improving your workflow in Stata. Finally, you can see an overview of the major components of the software, such as data management, graphics, and how to get help.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Stata Statistics -- Data processing Mathematical statistics -- Data processing
- Resource Type:
- Video
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MOOC
This short course is adapted from a semester length graduate level coursetaught at MIT covering Qualitative Research Methods. This online course will focus specifically on teaching how to prepare for and conduct a conversational interview for data gathering purposes. We will also discuss the nature of qualitative research as a methodology, how it compares and differs from other forms of research, and how qualitative and quantitative research complement each other in a research project. This isthe first in a multi-part series which will be released over the coming year, which will focus on Conversational Interviewing, Data Analysis, and Constructing Theory. You might have encountered other forms of interview techniques in your studies and training. The form that we are teaching is the preferred method of Professor Silbey's, one that she has used extensively throughout her career. The goal is to construct an interview protocol such that you will be able to guide your interviewee through topics of interest to your study without bringing them up explicitly, in order to explore experiences and accounts without pointing respondents in particular directions. Not sure what an interview protocol is? No problem! You will by the end of the course.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Conversation analysis Qualitative research -- Methodology Social sciences -- Research -- Methodology Interviewing
- Resource Type:
- MOOC
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MOOC
In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client. Week 1: Assess methods available for creating quantitative surveys, along with their advantages and disadvantages. Identify the type of questions that should be asked and avoid unambiguous survey questions. Week 2: Design, test, and implement a survey by identifying the target audience and maximizing response rates. You will have an opportunity to use Qualtrics, a survey software tool, to launch your own survey. Week 3: Analyze statistical models that can be applied to your marketing data, so that you can make data-driven decisions about your marketing mix. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Take Quantitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the second course in this specialization, Qualitative Research, before taking this course. By completing the third class in the Specialization, you will gain the skills needed to succeed in the full program.
- Subjects:
- Marketing and Statistics and Research Methods
- Keywords:
- Quantitative research Marketing research
- Resource Type:
- MOOC
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MOOC
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods. We hope to take away some prejudice, and enthuse many students for qualitative research.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Qualitative research -- Methodology Social sciences -- Research -- Methodology
- Resource Type:
- MOOC