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This Statistic course will add to your career progression. The course will help you develop and understand the necessary scientifically-based research skills. Learn how to interpret data sets, and how to prove your point based on scientifically proven methods
This course provides the most essential knowledge and skills required by consultants and researchers in a wide variety of disciplines. This course assumes a basic knowledge of Statistics, at least to the level covered by our Research Project I course.
This course is taught by:
M.A. (hons) Celtic Studies, (the University of Aberdeen); M.St. Celtic Studies, (the University of Oxford)
Lee is a PhD candidate at Cardiff University with degrees from Aberdeen and Oxford. He has written two books, digitalised another and written several academic papers. He has been interviewed by National Geographic and presented papers at eight different national and international conferences. Lee’s native language is English and, if asked, he is always happy to help students with their English spelling and grammar. He is also a keen proponent of the digital revolution and dreams of a world where all books are available instantly to be read, searched or treasured. Although he mainly writes non-fiction, he loves Victorian literature as well as modern fiction and poetry of all kinds. His academic knowledge of medieval events, cultures and the history of Britain’s environment make him especially qualified to help students interested in writing sci-fi and fantasy.
Lesson Structure: Statistics BSC304
There are 10 lessons:
- Measures of central tendency
- The Normal curve and Percentiles and Standard Scores
- Inferential Statistics
- The T-test
- Analysis of variance
- Chi square test
Learning Goals: Statistics BSC304
- Become familiar with different statistical terms and the elementary representation of statistical data.
- Become familiar with distributions, and the application of distributions in processing data.
- Apply measures of central tendency in solving research questions
- Demonstrate and explain the normal curve, percentiles and standard scores.
- Explain methods of correlation that describes the relationship between two variables.
- Make predictions with regression equations.
- Determine how much error to expect when making the predictions.
- Explain the basic concepts of underlying the use of statistics to make inferences.
- Analyze the difference between the means of two groups with the t Test.
- Describe the use of ANOVA (Analysis of Variance) in analysing the difference between two or more groups.
- Apply the concept of Non Parametric Statistics
|Course Start||Anytime, Anywhere|
|Recognised Issuing Body||TQUK - Training Qualifications UK, an Ofqual Approved Awarding Organisation.|
|Course Prerequisite||No, start at anytime|
|Course Qualification||Level 4 Certificate in Statistics|
|Exam Required?||Finalised with an exam/test|
|UK Course Credits||10 Credits|
|US Course Credit Hours||3 Credit Hours|
|Study Support||You'll be allocated your own personal tutor/mentor who will support and mentor you throughout your whole course. Our tutors/mentors have been specifically chosen for their business expertise, qualifications and must be active within their industry. Tutors are contactable by e-mail, telephone and through our Moodle Student Support Zone online. Tutors are there to provide assistance with course material, discuss, explain and give advice and support throughout the whole programme. Their feedback is vital to your success.|
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