YoVDO

Mathematics and Statistics Fundamentals Proctored Exam

Offered By: London School of Economics and Political Science via edX

Tags

Statistics & Probability Courses Mathematics Courses Calculus Courses Algebra Courses Linear Regression Courses Derivatives Courses Probability Courses Hypothesis Testing Courses Estimation Courses

Course Description

Overview

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

Mathematics 1: Differential calculus

Mathematics 1: Integral calculus, algebra, and applications

Statistics 1: Introductory statistics, probability and estimation ****

Statistics 1: Statistical methods ****

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.


Syllabus

The following topics are assessed within this exam:

  • Functions and graphs

  • The derivative

  • Curve sketching and optimisation

  • Functions of two variables and partial derivatives

  • Critical points of two-variable functions

  • Integration

  • Profit maximisation

  • Constrained optimisation

  • Matrices, vectors, and linear equations

  • Sequences, series, and financial modelling

● 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

● Mathematical revision and the nature of statistics

● Data visualisation and descriptive statistics

● Probability theory

● The normal distribution and ideas of sampling


Taught by

Martin Anthony and James Abdey

Tags

Related Courses

Introduction to Logic
Stanford University via Coursera
Networked Life
University of Pennsylvania via Coursera
Introduction to Mathematical Thinking
Stanford University via Coursera
Computational Photography
Georgia Institute of Technology via Coursera
Initiation à la théorie des distributions
École Polytechnique via Coursera