161140

Agri-Statistics

An introduction to statistics in an agricultural context, including the presentation, analysis and interpretation of quantitative data.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.

161140

Level

The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).

100-level

Credits

Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.

15

Subject

Statistics

Course planning information

Course notes

Students must achieve at least 30% in the final examination to pass the course.

Expected prior learning

It is recommended that students have a good grounding in basic maths, in particular: - perform calculations using a calculator - understand and apply correct order of operations in calculations - re-arrange formulae to solve for an unknown.

Restrictions

Similar content
161100, 161101, 161111, 161120, 161122, 161130, 115101, 195101, 297101

You cannot enrol in this course if you have passed (or are enrolled in) any of the course(s) above as these courses have similar content or content at a higher level.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Use and create spreadsheet models for agricultural applications.
  • 2 Collect, manipulate and summarise agricultural data.
  • 3 Apply probability-based risk management tools in agricultural contexts.
  • 4 Use statistical analysis in evidence-based decision making for agricultural problems.

Learning outcomes can change before the start of the semester you are studying the course in.

Assessments

Assessment Learning outcomes assessed Weighting
Practical/Placement 1 2 3 4 10%
Test 1 5%
Test 2 5%
Test 3 5%
Test 4 5%
Written Assignment 1 2 3 4 20%
Exam (centrally scheduled) 2 3 4 50%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
Participation
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Portfolio
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Simulation
Technology-based or experience-based simulations.
Test
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Textbooks needed

There are no set texts for this course.