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James Abdey
This proctored examination assesses all concepts, methods and techniques introduced across the following four courses within the LSE MicroBachelors program in Statistics Fundamentals:
Statistics 1: Introductory statistics, probability and estimation
Statistics 1: Statistical methods
Statistics 2: Probability and distribution theory
Statistics 2: Statistical inference ****
It is two hours in duration and must be sat under online proctored conditions.
Read more
This proctored examination assesses all concepts, methods and techniques introduced across the following four courses within the LSE MicroBachelors program in Statistics Fundamentals:
Statistics 1: Introductory statistics, probability and estimation
Statistics 1: Statistical methods
Statistics 2: Probability and distribution theory
Statistics 2: Statistical inference ****
It is two hours in duration and must be sat under online proctored conditions.
Read more
This proctored examination assesses all concepts, methods and techniques introduced across the following four courses within the LSE MicroBachelors program in Statistics Fundamentals:
Statistics 1: Introductory statistics, probability and estimation
Statistics 1: Statistical methods
Statistics 2: Probability and distribution theory
Statistics 2: Statistical inference ****
It is two hours in duration and must be sat under online proctored conditions.
It is the final step towards completing the LSE MicroBachelors program in Statistics Fundamentals and you must pass with a mark of 60% or higher to gain your certificate.
Register for this course and see more details by visiting:
OpenCourser.com/course/rty5c8/statistics
What's inside
Learning objective
N/a
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Syllabus
The following topics are assessed within this exam:
● Mathematical revision and the nature of statistics
● Data visualisation and descriptive statistics
Read more
Syllabus
The following topics are assessed within this exam:
● Mathematical revision and the nature of statistics
● Data visualisation and descriptive statistics
Read more
● Probability theory
● The normal distribution and ideas of sampling
● Point and interval estimation
● Hypothesis testing I
● Hypothesis testing II
● Contingency tables and the chi-squared test
● Sampling design and some ideas underlying causation
● Correlation and linear regression
● Probability theory I
● Probability theory II
● Random variables
● Common distributions of random variables
● Multivariate random variables
● Sampling distributions of statistics
● Point estimation I
● Point estimation II and interval estimation
● Hypothesis testing
● Analysis of variance (ANOVA)
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Assesses concepts taught in four preceding courses in a comprehensive proctored exam
Covers a wide range of topics in statistics, from probability and distribution theory to inference and linear regression
Provides a comprehensive review of statistical methods and techniques
Completion grants a certificate in Statistics Fundamentals from the London School of Economics
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Statistics Fundamentals Proctored Exam with these
activities:
Review basic algebra and calculus concepts
Show steps
Strengthen your foundation by reviewing essential algebra and calculus concepts.
Browse courses on
Algebra
Show steps
-
Brush up on your calculus skills, including limits, derivatives, and integrals.
-
Gather your algebra and calculus notes, textbooks, or online resources.
-
Review the core concepts of algebra, such as equations, functions, and graphs.
Revisit previous statistics courses
Show steps
Refresh your memory and strengthen your understanding of previously covered statistics concepts.
Browse courses on
Statistics
Show steps
-
Review your notes, textbooks, or online materials from previous statistics courses.
-
Focus on key concepts, such as descriptive statistics, probability distributions, and hypothesis testing.
-
Solve practice problems to reinforce your understanding.
Watch video tutorials on YouTube
Show steps
Supplement your understanding of mathematical revision and descriptive statistics through video tutorials.
Browse courses on
Mathematical Revision
Show steps
-
Search for video tutorials on YouTube related to mathematical revision and descriptive statistics.
-
Select videos from reputable sources and experienced instructors.
-
Take notes and pause the videos when necessary to digest the information.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems from Khan Academy
Show steps
Deepen your understanding of probability and statistical concepts by solving practice problems.
Browse courses on
Probability
Show steps
-
Navigate to the Khan Academy website or mobile application.
-
Select the 'Math' section and choose 'Probability and Statistics'.
-
Select a topic and begin solving practice problems.
Join a study group or online forum
Show steps
Enhance your learning by collaborating with peers in a study group or online forum.
Browse courses on
Statistics
Show steps
-
Identify or create a study group with classmates or fellow learners.
-
Set regular meeting times and establish clear goals for each session.
-
Discuss course material, solve problems together, and provide support to each other.
Attend a statistics workshop
Show steps
Expand your knowledge and skills by attending a statistics workshop tailored to your interests.
Browse courses on
Hypothesis Testing
Show steps
-
Identify and register for a statistics workshop that aligns with your learning goals.
-
Attend the workshop and actively participate in discussions and activities.
-
Engage with the instructors and ask questions to clarify your understanding.
Write a blog post on a statistical concept
Show steps
Solidify your understanding of a statistical concept by writing a blog post about it.
Browse courses on
Probability
Show steps
-
Choose a specific statistical concept that you want to write about.
-
Research and gather information from reliable sources.
-
Write a draft of your blog post, explaining the concept in a clear and concise manner.
-
Revise and edit your post for clarity, accuracy, and engagement.
-
Publish your blog post and share it with others.
Review basic algebra and calculus concepts
Show steps
Strengthen your foundation by reviewing essential algebra and calculus concepts.
Browse courses on
Algebra
Show steps
Show steps
Show steps
- Brush up on your calculus skills, including limits, derivatives, and integrals.
- Gather your algebra and calculus notes, textbooks, or online resources.
- Review the core concepts of algebra, such as equations, functions, and graphs.
Revisit previous statistics courses
Show steps
Refresh your memory and strengthen your understanding of previously covered statistics concepts.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes, textbooks, or online materials from previous statistics courses.
- Focus on key concepts, such as descriptive statistics, probability distributions, and hypothesis testing.
- Solve practice problems to reinforce your understanding.
Watch video tutorials on YouTube
Show steps
Supplement your understanding of mathematical revision and descriptive statistics through video tutorials.
Browse courses on
Mathematical Revision
Show steps
Show steps
Show steps
- Search for video tutorials on YouTube related to mathematical revision and descriptive statistics.
- Select videos from reputable sources and experienced instructors.
- Take notes and pause the videos when necessary to digest the information.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems from Khan Academy
Show steps
Deepen your understanding of probability and statistical concepts by solving practice problems.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Navigate to the Khan Academy website or mobile application.
- Select the 'Math' section and choose 'Probability and Statistics'.
- Select a topic and begin solving practice problems.
Join a study group or online forum
Show steps
Enhance your learning by collaborating with peers in a study group or online forum.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Identify or create a study group with classmates or fellow learners.
- Set regular meeting times and establish clear goals for each session.
- Discuss course material, solve problems together, and provide support to each other.
Attend a statistics workshop
Show steps
Expand your knowledge and skills by attending a statistics workshop tailored to your interests.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Identify and register for a statistics workshop that aligns with your learning goals.
- Attend the workshop and actively participate in discussions and activities.
- Engage with the instructors and ask questions to clarify your understanding.
Write a blog post on a statistical concept
Show steps
Solidify your understanding of a statistical concept by writing a blog post about it.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Choose a specific statistical concept that you want to write about.
- Research and gather information from reliable sources.
- Write a draft of your blog post, explaining the concept in a clear and concise manner.
- Revise and edit your post for clarity, accuracy, and engagement.
- Publish your blog post and share it with others.
Career center
Learners who complete Statistics Fundamentals Proctored Exam will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
A Statistician is a professional who collects, analyzes, interprets, and presents data. Statisticians often work with large and complex datasets, and they use statistical methods to make inferences about the population from which the data was collected. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Data Scientist
Data Scientist
A Data Scientist is a professional responsible for collecting, analyzing, and interpreting large and complex sets of data. The data is often obtained from a variety of sources, such as surveys, experiments, and social media. Data Scientists often use statistical methods to analyze the data, identify trends, and make predictions. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are used in this field.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is a professional who uses mathematical and statistical methods to analyze financial data. Quantitative Analysts often work for investment banks, hedge funds, and other financial institutions. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the mathematical and statistical methods that are needed to succeed in this career.
Actuary
Actuary
An Actuary is a professional who uses mathematical and statistical methods to assess risk. Actuaries often work for insurance companies, pension funds, and other financial institutions. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the mathematical and statistical methods that are needed to succeed in this career.
Biostatistician
Biostatistician
A Biostatistician is a professional who uses statistical methods to design and analyze experiments in the biological sciences. Biostatisticians often work for pharmaceutical companies, hospitals, and other healthcare organizations. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Data Analyst
Data Analyst
A Data Analyst is a professional who collects, analyzes, and interprets data. Data Analysts often work for businesses, government agencies, and other organizations. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Market Researcher
Market Researcher
A Market Researcher is a professional who collects, analyzes, and interprets data about consumer behavior. Market Researchers often work for marketing firms, advertising agencies, and other businesses. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Risk Manager
Risk Manager
A Risk Manager is a professional who identifies, assesses, and manages risk. Risk Managers often work for banks, insurance companies, and other financial institutions. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is a professional who uses mathematical and statistical methods to improve the efficiency of operations. Operations Research Analysts often work for manufacturing companies, logistics companies, and other businesses. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the mathematical and statistical methods that are needed to succeed in this career.
Survey Researcher
Survey Researcher
A Survey Researcher is a professional who designs, conducts, and analyzes surveys. Survey Researchers often work for market research firms, government agencies, and other organizations. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Health Statistician
Health Statistician
A Health Statistician is a professional who collects, analyzes, and interprets health data. Health Statisticians often work for government agencies, hospitals, and other healthcare organizations. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Business Analyst
Business Analyst
A Business Analyst is a professional who analyzes business data to identify opportunities for improvement. Business Analysts often work for businesses, government agencies, and other organizations. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Financial Analyst
Financial Analyst
A Financial Analyst is a professional who analyzes financial البيانات to make investment decisions. Financial Analysts often work for investment banks, hedge funds, and other financial institutions. The LSE MicroBachelors program in Statistics Fundamentals can provide you with a strong foundation in the statistical methods that are needed to succeed in this career.
Data Engineer
Data Engineer
A Data Engineer is a professional who designs, builds, and maintains data pipelines. Data Engineers often work for businesses, government agencies, and other organizations. While the LSE MicroBachelors program in Statistics Fundamentals is not directly related to data engineering, it can provide you with a strong foundation in the statistical methods that are used in this field.
Software Engineer
Software Engineer
A Software Engineer is a professional who designs, develops, and maintains software applications. Software Engineers often work for software companies, government agencies, and other organizations. While the LSE MicroBachelors program in Statistics Fundamentals is not directly related to software engineering, it can provide you with a strong foundation in the mathematical and statistical methods that are used in this field.
For more career information including salaries, visit:
OpenCourser.com/course/rty5c8/statistics
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Statistics Fundamentals Proctored Exam.
This popular textbook comprehensive guide to modern statistical learning methods, with a focus on applications in R. It covers a wide range of topics, including supervised and unsupervised learning, model selection, and regularization.
This widely used textbook provides a thorough introduction to probability and statistics, with a focus on applications in engineering and the sciences. It covers a wide range of topics, including probability theory, random variables, statistical inference, and regression analysis.
This classic textbook provides a rigorous and comprehensive treatment of mathematical statistics. It covers a wide range of topics, including probability theory, statistical inference, and regression analysis.
Save
This concise textbook provides a clear and accessible introduction to the fundamentals of statistical inference. It covers a wide range of topics, including probability theory, sampling distributions, hypothesis testing, and regression analysis.
This textbook provides a contemporary introduction to statistical methods, with a focus on applications in R. It covers a wide range of topics, including data visualization, statistical modeling, and machine learning.
Save
This open-source textbook provides a comprehensive and accessible introduction to statistics. It covers a wide range of topics, including probability theory, statistical inference, and regression analysis.
This widely used textbook provides a comprehensive and up-to-date introduction to statistics. It covers a wide range of topics, including probability theory, statistical inference, and regression analysis.
This textbook provides a thorough and rigorous introduction to the fundamentals of mathematical statistics. It covers a wide range of topics, including probability theory, statistical inference, and regression analysis.
This textbook provides a comprehensive introduction to statistical methods for the social sciences. It covers a wide range of topics, including probability theory, statistical inference, and regression analysis.
This classic textbook provides a comprehensive and rigorous treatment of statistical inference. It covers a wide range of topics, including point estimation, interval estimation, and hypothesis testing.
This textbook provides a comprehensive and rigorous treatment of the theory of statistics. It covers a wide range of topics, including probability theory, statistical inference, and decision theory.
This textbook provides a comprehensive and rigorous treatment of mathematical statistics. It covers a wide range of topics, including probability theory, statistical inference, and decision theory.
This textbook provides a comprehensive and up-to-date introduction to Bayesian statistics. It covers a wide range of topics, including Bayesian inference, Bayesian modeling, and Bayesian computation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rty5c8/statistics
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Effort
1 to 2 hours per week for 1 week
Level
Intermediate
Via
edX
Institution
The London School of Economics and Political Science
Instructor
James Abdey
Language
English
Transcript
English
Good to know
Assesses concepts taught in four preceding courses in a comprehensive proctored exam
Covers a wide range of topics in statistics, from probability and distribution theory to inference and linear regression
Provides a comprehensive review of statistical methods and techniques
Completion grants a certificate in Statistics Fundamentals from the London School of Economics
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