EdX

Statistics Fundamentals Proctored Exam (edX)

Statistics Fundamentals Proctored Exam (edX)

Test your knowledge and ability to apply the concepts and methods from the four courses included in the LSE MicroBachelors program in Statistics Fundamentals and take your first step towards further study at undergraduate level or upskill in high-growth careers.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This proctored examination assesses all concepts, methods and techniques introduced across the following four courses within the LSE MicroBachelors program in Statistics Fundamentals:

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.
This course is part of the Statistics Fundamentals MicroBachelors® Program.

Syllabus

The following topics are assessed within this exam:

  • Mathematical revision and the nature of statistics
  • Data visualisation and descriptive statistics
  • 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)
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Analytics and Visualization Capstone Project (edX) EdX
IBM

Data Analytics and Visualization Capstone Project (edX)

Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task. This course provides students with the opportunity to assume the role of an Associate Data Analyst who has recently joined an organization. In this role, you will use Data Analytics skills and techniques on real-world datasets to complete a business task.

Self Paced
Self-Paced
BioStatistics (edX) EdX
DoaneX,Doane University

BioStatistics (edX)

This college-level, credit-eligible Biostatistics course will teach you the skills required for success in future analytical studies in biology. In this undergraduate-level biostatistics course, the learners will be introduced to the use of statistics and study designs in biology. Upon successful completion of this course, learners will be able to design experimental, quasi-experimental and observational studies that will meet regulatory guidelines; collect, analyze, and interpret data using appropriate statistical tools.

Self Paced
Self-Paced
Introduction to Probability (edX) EdX
HarvardX,Harvard University

Introduction to Probability (edX)

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you tools needed to understand data, science, philosophy, engineering, economics, and finance.

Self Paced
Self-Paced
UX Data Analysis (edX) EdX
HECMontrealX,HEC Montréal

UX Data Analysis (edX)

Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations. Do big data and UX speak to you? This MOOC will give you the methods and tools to analyze the whole spectrum of data we handle in UX, from qualitative user research and quantitative user testing data analysis to big data Web analytics.

Self Paced
Self-Paced
Visualizing Data with Python (edX) EdX
IBM

Visualizing Data with Python (edX)

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. "A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way.

Self Paced
Self-Paced
Statistics and R (edX) EdX
HarvardX,Harvard University

Statistics and R (edX)

An introduction to basic statistical concepts and R programming skills necessary for analyzing data 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. We provide R programming examples in a way that will help make the connection between concepts and implementation.

Self Paced
Self-Paced
RShiny for Everyone (edX) EdX
Davidson College,DavidsonX

RShiny for Everyone (edX)

Use R’s Shiny package to create data-driven, interactive web applications. In this course, you will use R Shiny to create an interactive web application that highlights the biodiversity of America’s National Parks. Your application will feature an interactive map, biodiversity calculator, trail journal and species images. Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment.

Self Paced
Self-Paced
Visualizing Data with R (edX) EdX
IBM

Visualizing Data with R (edX)

Learn about the ggplot2 data visualization package for R, creating map plots with geolocation data using Leaflet, and interactive dashboards to display your work on the web using the R Shiny package! In this course, you will learn about the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots.

Self Paced
Self-Paced
Excel for Everyone: Core Foundations (edX) EdX
The University of British Columbia,UBCx

Excel for Everyone: Core Foundations (edX)

Learn Excel fundamentals including data wrangling, spreadsheet management, and basic data analysis. This introductory Excel course will equip you with a strong foundational knowledge of Excel to organize, analyze and work with data. You will develop essential Excel skills, such as simple data wrangling and managing spreadsheets, along with a foundational understanding of business data analysis.

Self Paced
Self-Paced
Data Science: Capstone (edX) EdX
HarvardX,Harvard University

Data Science: Capstone (edX)

Show what you’ve learned from the Professional Certificate Program in Data Science. To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.

Self Paced
Self-Paced
Public Sector Debt Statistics (edX) EdX
International Monetary Fund - IMF,IMFx

Public Sector Debt Statistics (edX)

The course examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics. This course, presented by IMF Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users.

Self Paced
Self-Paced