Statistics 2 Part 2: Statistical Inference from edX

Statistics 2 Part 2 is a self-paced course from LSE which aims to develop your knowledge of elementary statistical theory, particularly relating to the concepts, methods and techniques of measurement and hypothesis testing that were introduced in Statistics 1 and Statistics 2, Part 1. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals.

Part 2, Statistical Inference, covers the following topics:

● Sampling distributions of statistics

● Point estimation I

● Point estimation II and interval estimation

● Hypothesis testing

● Analysis of variance (ANOVA)

There is an emphasis on topics that relate to econometrics, finance and quantitative social science. Concepts and methods that provide the foundations for more specialised courses in statistics and econometrics are introduced.

What you'll learn

By the end of this course, you will:

Have developed key ideas from Statistics 1 that are accessible to a student with a moderate mathematical competence
be able to routinely apply a variety of methods for explaining, summarising and presenting data and interpreting results clearly using appropriate diagrams, titles and labels when required
explain the fundamentals of statistical inference and apply these principles to justify the use of an appropriate model and perform tests in a number of different settings
demonstrate understanding that statistical techniques are based on assumptions and the plausibility of such assumptions must be investigated when analysing real problems.

What's inside

Syllabus

● Sampling distributions of statistics

● Point estimation I

● Point estimation II and interval estimation

● Hypothesis testing

● Analysis of variance (ANOVA)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by James Abdey, a well-known instructor in Statistics, this course will be beneficial to learners looking to fill gaps in their foundational knowledge

Focuses on elementary statistical theory, particularly relating to the concepts, methods and techniques of measurement and hypothesis testing

Provides a solid foundation for more specialized courses in statistics and econometrics

Places an emphasis on sampling distributions of statistics, point estimation, and hypothesis testing

Requires learners to come in with moderate mathematical competence, making it a suitable course for learners with some prior knowledge in Statistics

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 2 Part 2: Statistical Inference with these activities:

Review 'Hypothesis Testing Using Statistics'

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Review essential statistical techniques in preparation for this course.

Browse courses on Hypothesis Testing

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Read through overview of the paper
Review the table summarising formula
Read through the examples provided

Introductory Statistics: A Problem-Solving Approach

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Strengthen your foundational knowledge through exploring this book used in the course.

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Read the overview of a section
Read through at least 2-3 examples provided
Attempt the practice exercises for the section

Participate in an online discussion forum

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Collaborate with peers for knowledge exchange, diverse perspectives, and enhanced understanding.

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Join the online discussion forum
Read through existing threads and posts
Ask questions and participate in discussions

Five other activities

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Show all eight activities

Work through practice problems on sampling distributions

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Strengthen your understanding of sampling distributions through practice.

Browse courses on Sampling Distributions

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Review the concept of sampling distributions
Solve practice problems involving sampling distributions
Analyze the results of your practice problems

Complete practice problems on Analysis of Variance (ANOVA)

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Reinforce the concepts of hypothesis testing through practice problems.

Browse courses on Analysis of Variance

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Identify the independent and dependent variables
Determine the appropriate ANOVA test
Conduct the ANOVA test using an online calculator
Interpret the results of the ANOVA test

Develop a hypothetical research question for your research project

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Start solidifying understanding by practicing application through identifying a research question.

Browse courses on Research Question

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Identify a topic of interest
Develop a research question that is specific, measurable, achievable, relevant, and time-bound
Write out the research question in a clear and concise manner

Utilize Khan Academy for Hypothesis Testing

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Enhance your understanding through additional resources and practice on Hypothesis Testing

Browse courses on Hypothesis Testing

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Review explanations for hypothesis testing
Watch videos covering the topic
Complete additional practice exercises

Develop a cheat sheet for hypothesis testing

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Create a personalized resource to support memory and understanding of hypothesis testing principles and steps

Browse courses on Hypothesis Testing

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List down the key concepts of hypothesis testing
Explain the different steps involved in hypothesis testing
Provide examples to illustrate each step

Career center

Learners who complete Statistics 2 Part 2: Statistical Inference will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use statistical methods to analyze data and build models that can help businesses make informed decisions. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Data Scientist

Econometrician

Econometricians use statistical methods to analyze economic data and make forecasts. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Econometrician

Biostatistician

Biostatisticians use statistical methods to design and analyze studies in the biomedical field. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Biostatistician

Statistician

Statisticians apply statistical methods to collect, analyze, interpret, and present data. This course can help you develop the skills and knowledge you need to succeed in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Statistician

Quantitative Analyst

Quantitative Analysts use statistical methods to analyze financial data and make investment decisions. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

Financial Analysts use statistical methods to analyze financial data and make investment recommendations. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use statistical methods to assess and manage financial risk. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Actuary

Epidemiologist

Epidemiologists use statistical methods to study the causes and distribution of disease. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Epidemiologist

Data Analyst

Data Analysts interpret and communicate data to help organizations make informed decisions. This course, Statistics 2 Part 2: Statistical Inference, can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn how to analyze data, draw conclusions, and communicate your findings effectively.

See salaries and explore the career path for Data Analyst

Survey Researcher

Survey Researchers design and conduct surveys to collect data about a population. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Survey Researcher

Operations Research Analyst

Operations Research Analysts use statistical methods to improve the efficiency of business operations. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Operations Research Analyst

Business Analyst

Business Analysts use statistical methods to analyze data and identify trends and patterns that can help businesses improve their operations. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Business Analyst

Social Scientist

Social Scientists use statistical methods to study human behavior and society. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Social Scientist

Risk Analyst

Risk Analysts use statistical methods to assess and manage risk. This course can help you build a foundation in statistical theory and methods, which are essential for success in this role. You will learn about sampling distributions, point estimation, interval estimation, hypothesis testing, and analysis of variance.

See salaries and explore the career path for Risk Analyst

Market Researcher

Market Researchers conduct surveys, collect data, and analyze market trends to help businesses make informed decisions. This course can help you build a foundation in statistical methods, which are essential for success in this role. You will learn how to design and conduct surveys, analyze data, and draw conclusions.

See salaries and explore the career path for Market Researcher