# FOR20100

**Source**: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=MODULE&MODULE=FOR20100&TERMCODE=202500&ACYR=2026
**Parent**: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=COURSE&MAJR=ESS1&AUDIENCE=

Academic Year 2025/2026

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#### Applied Biostatistics (FOR20100)

Subject:
:   Forestry

College:
:   Health & Agricultural Sciences

School:
:   Agriculture & Food Science

Level:
:   2 (Intermediate)

Credits:
:   5

Module Coordinator:
:   Professor Aine Ni Dhubhain

Trimester:
:   Autumn

Mode of Delivery:
:   On Campus

Internship Module:
:   No

How will I be graded?
:   Letter grades

Curricular information is subject to change.

This introductory module, which requires only elementary algebra, is designed to explain and illustrate the statistical ideas and techniques that are an essential skill for a biological scientist engaged in the conduct or interpretation of experimentation. You will discover different types of data distributions and the parameters that define them. You will see how statistics calculated from samples are related to true values in the population from which the sample was drawn. The basic idea of a significance test will be developed and used to adjudicate on the significance, or otherwise, of observed differences. You will also be introduced to the measurement and analysis of the association between variables.

## About this Module

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### What will I learn?

###### Learning Outcomes:

Summarise, describe and compare data sets.Estimate population parameters using sample estimates.Formally test hypotheses about population parameters and adjudicate on them with stated levels of confidence.Apply basic methods for investigating linear relationships between variables.

### How will I learn?

###### Student Effort Hours:

| Student Effort Type | Hours |
| --- | --- |
| Lectures | 24 |
| Small Group | 9 |
| Specified Learning Activities | 10 |
| Autonomous Student Learning | 60 |
|  |  |
| --- | --- |
| Total | 103 |

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###### Approaches to Teaching and Learning:

The module with consist of face to face lectures for 50 minutes on two afternoons for 12 weeks. Students will also have to attend one one-hour tutorial each week starting week 3

### Am I eligible to take this module?

###### Requirements, Exclusions and Recommendations

Not applicable to this module.

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###### Module Requisites and Incompatibles

**Incompatibles:**\
STAT20070 - *Data Modelling for Science*\
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**Equivalents:**\
Applied Biostatistics (CPSC20010)\
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### How will I be assessed?

###### Assessment Strategy

| Description | Timing | Component Scale | Must Pass Component | % of Final Grade | In Module Component Repeat Offered |
| --- | --- | --- | --- | --- | --- |
| Exam (In-person): 2 hour in person exam | End of trimester  Duration:  2 hr(s) | Standard conversion grade scale 40% | No | 70 | No |
| Quizzes/Short Exercises: MCQ On-line | Week 7 | Alternative linear conversion grade scale 40% | No | 30 | No |

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###### Carry forward of passed components

No

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### What happens if I fail?

| Resit In | Terminal Exam |
| --- | --- |
| Spring | Yes - 2 Hour |

*Please see [Student Jargon Buster](https://www.ucd.ie/students/services/ucdstudentjargonbuster/) for more information about remediation types and timing.* \

### Assessment feedback

###### Feedback Strategy/Strategies

• Group/class feedback, post-assessment\

###### How will my Feedback be Delivered?

Group feedback on MCQs etc will be given.

### Associated Staff

| Name | Role |
| --- | --- |
| Ms Rebecca Finlay | Tutor |
| Fanny Salesse | Tutor |

### When is this module offered?

**Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.**

|  |  |  |  |  |
| --- | --- | --- | --- | --- |
| Autumn | Lecture | Offering 1 | Week(s) - Autumn: All Weeks | Thurs 14:00 - 14:50 |
| Autumn | Lecture | Offering 1 | Week(s) - Autumn: All Weeks | Tues 14:00 - 14:50 |
| Autumn | Tutorial | Offering 1 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Mon 17:00 - 17:50 |
| Autumn | Tutorial | Offering 2 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Tues 17:00 - 17:50 |
| Autumn | Tutorial | Offering 3 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Wed 17:00 - 17:50 |
| Autumn | Tutorial | Offering 4 | Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | Fri 13:00 - 13:50 |

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