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MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12 pm, Friday 9 am MINITAB Practicals Room 201 Arts Millenium Building starting 16/01/06 Monday 2 – 5 pm

MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

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Page 1: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

MR317 Introduction to Marine Ecology - Biostatistics

LecturesMartin Ryan Seminar RoomMonday 11am, Tuesday 9amTuesday 12 pm, Friday 9 am

MINITAB PracticalsRoom 201 Arts Millenium Building

starting 16/01/06 Monday 2 – 5 pm

Page 2: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Emma HolianRoom 108, Riverside Terrapin

Email: [email protected]

Dr. Jochen EinbeckRoom 209, Áras de Brún

Email: [email protected]

Lecturers:

Page 3: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Lecture Material

• Handouts, notes• Web based material

http://www.nuigalway.ie/maths/je/marine– Notes, these slides– Datasets

Page 4: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Course Content• Basic ideas – revision• Looking at data – summaries, plots, etc• Statistical analyses

– Comparing groups– Regression– Analysis of variance – Simple multivariate methods

• Aspects of study design• Use of MINITAB package

Page 5: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Population : the entire group of objects about which information is required.

Collecting Data

Page 6: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

A parameter is a numerical characteristic of the population.

It is a fixed number, but we usually do not know its value.

Page 7: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Unit: any individual member of the population

Sample: a part or subset of the population used to gain information about the population.

Page 8: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Sampling Frame: the list of units from which the sample is chosen.

Geographical/Spatial coordinates.

Page 9: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Variable: a characteristic of a unit to be measured in the sample.

Data are the values that variables can assume.

Page 10: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Variable

Qualitative Quantitative

Discrete Continuous

Nominal Ordinal

Page 11: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

The value of the statistic changes from sample to

sample.

Statistics ARE numbers derived from a sample

of data.

Page 12: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Example 1

Population: Irish Sea

Unit ?

Sample ?

Variable ?

Sampling Frame ?

Page 13: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

PopulationParameters

Inference

SampleStatistics

Sample

Page 14: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Inference is the process of making decisions about a

population based on information contained in a

sample from that population.

Page 15: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

• Descriptive statisticsconsists of the collection, organisation, summarisation, and presentation of data.

• Inferential statisticsconsists of generalisingfrom samples to populations, performing hypothesis testing, determining relationships among variables, and making predictions.

General philosophy

Page 16: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

How do we select a small subset of a population

representative of the whole population?

Page 17: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12
Page 18: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Using your best judgement, take a representative sample

of 6 circles from the population of 60 circles and use the sample mean as an

estimate of the true population mean

Page 19: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

1

1.5

2 3

2.5

0.5N=60

Page 20: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6

0

50

100

150

200

250

Judgement

Freq

uenc

yJudgement Sample

Page 21: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

0.5 1.0 1.5

0

50

100

150

SRS

Freq

uenc

ySimple Random Sample

Page 22: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

0.5 1.5 2.5

0

50

100

150

Judgement and SRS

Freq

uenc

y

Page 23: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

One consequence of natural variation is that two samples drawn by the same method from the same

population will give somewhat different estimates of the population parameters (sampling variation).

Page 24: MR317 Introduction to Marine Ecology - Biostatistics · MR317 Introduction to Marine Ecology - Biostatistics Lectures Martin Ryan Seminar Room Monday 11am, Tuesday 9am Tuesday 12

Understanding variation

Statistics deals with discriminating between variation that is scientifically interesting and

variation that just reflects background variation.