# MATH07002 2008 STATISTICS & COMPUTING

**Full Title**

**Transcript Title**

**Code**

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**Subject Area**

**Department**

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**Fee**

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**End Term**

**Author(s)**

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**Description**

### 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 analyze relationships between variables.

**5.**

### Module Dependencies

**Prerequisites**

**Co-requisites**

**Incompatibles**

### 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.

### Coursework & Assessment Breakdown

**Coursework & Continuous Assessment**

**End of Semester / Year Formal Exam**

### 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 5 | 1,2,3,4,5 |

3 | Continuous Assessment 2. | Continuous Assessment | UNKNOWN | 15 % | Week 10 | 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 | 1,2,3,4,5 |

### Full Time Mode Workload

Type | Location | Description | Hours | Frequency | Avg Workload |
---|---|---|---|---|---|

Lecture | Not Specified | Lecture | 2 | Weekly | 2.00 |

Laboratory Practical | Computer Laboratory | Laboratory Practical | 1 | Weekly | 1.00 |

Independent Learning | UNKNOWN | Self Study | 4 | Weekly | 4.00 |

### Module Resources

**Non ISBN Literary Resources**

Cann, J. Alan (2003), Maths from Scratch for Biologists, Wiley

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

Owen, Frank (1994), Statistics, Prentice Hall

Bluman, Allan (2007), Elementary Statistics, McGraw Hill**Other Resources**