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301347 (v.2) Statistics (Introductory) 550
Area: |
Department of Mathematics and Statistics |
Credits: |
25.0 |
Contact Hours: |
4.0 |
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| ** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** |
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Lecture: |
1 x 2 Hours Weekly |
Workshop: |
1 x 2 Hours Weekly |
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Syllabus: |
Descriptive statistics, graphical display of univariate data (histogram, stem and leaf, box plot), basic concepts in probability, conditional probability, Bayes rule, discrete and continuous distributions and properties, mean and variance of distributions, introduction to well known probability models - Binomial, Poissson, Geometric, Normal and Exponential, central limit theorem, confidence interval and test hypotheses. Chi-square test for goodness of fit. |
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| ** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** |
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Field of Education: |
10100 Mathematical Sciences (Narrow Grouping) |
HECS Band (if applicable): |
2 |
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Extent to which this unit or thesis
utilises online information: |
Not Online |
Result Type: |
Grade/Mark |
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Availability |
| Year |
Location |
Period |
Internal |
Area External |
Central External |
| 2004 |
Bentley Campus |
Semester 1 |
Y |
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| 2004 |
Bentley Campus |
Semester 2 |
Y |
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Area
External |
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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