MATH07025 2013 STATISTICS AND COMPUTING

General Details

Full Title
STATISTICS AND COMPUTING
Transcript Title
STATISTICS AND COMPUTING
Code
MATH07025
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
LIFE - Life Sciences
Level
07 - NFQ Level 7
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2013 - Full Academic Year 2013-14
End Term
9999 - The End of Time
Author(s)
Padraig McGourty, Eadaoin Tyrrell
Programme Membership
SG_SPHAR_J07 201300 Bachelor of Science in Pharmaceutical Science SG_SPHAD_B07 201800 Bachelor of Science in Pharmaceutical Science SG_SPHAR_B07 201900 Bachelor of Science in Pharmaceutical Science
Description

This course introduces the student to descriptive statistics, probability and probability distributions and statistical inference. The student will also be introduced to the use of an appropriate computing package to perform statistical analysis of data.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Graphically display and numerically summarise data using methods of descriptive statistics.

2.

Apply probability and probability distributions to data analysis.

3.

Choose and apply appropriate test of hypotheses.

4.

Use regression methods to analyse relationships between variables.

5.

Use Microsoft Excel (or an equivalent statistical program) to perform statistical analysis of data

Module Assessment Strategies

Assessment of this module will include continuous assessment worth 50% and an end of semester exam worth 50%. The end of semester exam will be employed to assess student's knowledge of statistics. Continuous assessment is designed to give the student an in-depth understanding and knowledge of the capabilities of Microsoft Excel for statistical analysis of data and will include weekly computer based activities/tasks and in-class test assignments.

Module Dependencies

Prerequisites
Mathematics for Science 2 (or equivalent)
Co-requisites
None
Incompatibles
None

Indicative Syllabus

Descriptive Statistics

Types of data, graphical representation of data. Measurements of central tendency, dispersion and skewness.

Probability

Laws of probability, algebra of events, mutually exclusive events, independent events.

Probability Distributions

Continuous and discrete distributions: binomial, Poisson and normal, use of tables.

Sampling theory

Sampling theory, estimation, point and interval estimates.

Tests of hypothesis

Tests of sample means and sample proportions, z tests and t tests. Chi-squared tests.

Correlation and Regression

Calculation of Correlation coefficient and its significance, Tests for linearity of calibration data; analysis of residuals for linearity testing.

Experimental Design

Random allocation of samples in a study,  bias, response bias and use of controls; sampling; summarising data;  The partial factorial design for testing ruggedness/robustness of an experiment.

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
50 %
End of Semester / Year Formal Exam
50 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Weekly activities in practicals in computer lab. Continuous Assessment UNKNOWN 25 % OnGoing 1,2,3,4,5
2 Continuous Assessment 1. Continuous Assessment UNKNOWN 10 % Week 6 1,2,3,4,5
3 Continuous Assessment 2. Continuous Assessment UNKNOWN 15 % Week 12 1,2,3,4,5

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 End of Term Exam. Final Exam UNKNOWN 50 % End of Term 1,2,3,4
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Tiered Classroom Lecture 2 Weekly 2.00
Laboratory Practical Computer Laboratory Laboratory Practical 1 Weekly 1.00
Independent Learning UNKNOWN Self Study 4 Weekly 4.00
Total Full Time Average Weekly Learner Contact Time 3.00 Hours

Module Resources

Non ISBN Literary Resources

Reilly,  James (2006), Using Statistics, Gill & Macmillan

Owen, Frank (1994), Statistics, Prentice Hall

Bluman, Allan (2007),  Elementary Statistics, McGraw Hill

Currell, Graham and Dowman, Antony (2009), Essential Mathematics and Statistics for Science, Wiley-Blackwell
Other Resources

Resources presented on Moodle

Exam centre for end of term exam

Additional Information

None