Courses / Module

INTRODUCTION TO STATISTICS (R)

Module code: ST812
Credits: 5
Semester: 2
Department: MATHEMATICS AND STATISTICS
International:

	Overview
	Module Objective: To introduce students to Statistics. Numerical and graphical data summaries. Probability: Sample spaces, events, conditional probability, independence, Bayes theorem. Discrete random variables, mean and variance. Binomial. The Normal model. Sampling distribution of Xbar. Confidence intervals and hypothesis testing: one and two samples, paired samples. Confidence intervals and hypothesis testing for proportions. Lectures and tutorials as for ST122.

Overview

Module Objective:
To introduce students to Statistics.

Numerical and graphical data summaries.
Probability: Sample spaces, events, conditional probability, independence, Bayes theorem.
Discrete random variables, mean and variance.
Binomial. The Normal model.
Sampling distribution of Xbar.
Confidence intervals and hypothesis testing: one and two samples, paired samples.
Confidence intervals and hypothesis testing for proportions.

Lectures and tutorials as for ST122.

	Learning Outcomes
	On successful completion of the module, students should be able to: Describe various types of data using numerical or graphical techniques. Interpret graphical and tabular data presentations. Calculate probabilities and conditional probabilities and for unions and intersections of events. Work with discrete random variables and the Binomial. Calculate probabilities based on the Normal model. Test statistical hypotheses. Calculate and interpret confidence intervals.

Learning Outcomes

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? No

	Timetable
	This timetable is not currently available, please contact the Mathematics And Statistics Department.

Search form

Courses / Module

INTRODUCTION TO STATISTICS (R)