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Video
Using of Z table
- Subjects:
- Statistics and Research Methods
- Keywords:
- Mathematical statistics Statistics
- Resource Type:
- Video
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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
In this video, the team won the best student poster award at the poster exhibition, and they are being invited to publish an exclusive feature story in the student e-newspaper. They want to use an infographic to help present their ideas and would like to extend their research to invite the interviewee to share their views on the topic.They are excited about writing for the student e-newspaper, and they are interested to know the ethical and legal issues around the use of information.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Intellectual property Social sciences -- Research Communication in education Copyright
- Resource Type:
- Video
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Video
How do we discern what is true and what is ‘fake news’ in the fast-paced age of social media and technology? Our technology editor David Grossman reports.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Digital media -- Moral ethical aspects Media literacy Social media Journalism -- Social aspects Fake news
- Resource Type:
- Video
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MOOC
basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Social surveys -- Methodology Social sciences -- Research -- Methodology
- Resource Type:
- MOOC
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MOOC
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. We start with simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.
- Subjects:
- Statistics and Research Methods and Mathematics and Statistics
- Keywords:
- Life sciences -- Statistical methods Mathematical statistics -- Data processing R (Computer program language)
- Resource Type:
- MOOC
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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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Video
An introduction and examples of how to use Correlation and Simple Linear Regression. Explaining concepts as coefficient of correlation, dependent variables, independent variables and the straight line equation and residuals.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Quantitative research Statistics
- Resource Type:
- Video
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Video
This series assumes that you are brand new to SPSS. You will create a data set that you will use for all the following videos. When you finish all 8 videos, you will be comfortable in SPSS and ready to apply your skills in your statistics course.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Statistics Statistics -- Data processing SPSS (Computer file)
- Resource Type:
- Video
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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