Mark Scheme (Final)
June 2009
GCE
GCE Biology (6101/01)
Edexcel Limited. Registered in England and Wales No. 4496750
Registered Office: One90 High Holborn, London WC1V 7BH
General Marking Guidance
All candidates must receive the same treatment. Examiners
Mark Scheme January 2009
GCE
GCE Biology (8040/9040)
GCE Biology (Human) (8042/9042)
Edexcel Limited. Registered in England and Wales No. 4496750
Registered Office: One90 High Holborn, London WC1V 7BH
Edexcel is one of the leading examining and awarding b
Mark Scheme (FINAL)
June 2008
GCE
GCE Biology (Salters Nuffield) (6132/01)
Edexcel Limited. Registered in England and Wales No. 4496750
Registered Office: One90 High Holborn, London WC1V 7BH
General Marking Guidance
All candidates must receive the same tr
Mark Scheme (FINAL)
Summer 2008
GCE
GCE Biology (6101/01)
Edexcel Limited Registered in England and Wales No 4496750
Registered Office: One90 High Holborn, London W
General Marking Guidance
All candidates must receive the same treatment. Examiners must ma
Mark Scheme (RESULTS)
January 2008
GCE
GCE Biology (Salters Nuffield) (6131/01)
Edexcel Limited. Registered in England and Wales No. 4496750
Registered Office: One90 High Holborn, London WC1V 7BH
Question
Number
Answer
1(a)
Mark
Statement about Daphnia
Ti
Mark Scheme (Results)
January 2007
GCE
GCE Biology (8040/9040)
Edexcel Limited. Registered in England and Wales No. 4496750
Registered Office: One90 High Holborn, London WC1V 7BH
General Principles
Symbols used in the mark scheme
Symbol
Meaning of symbol
Lecture 2
Introduction:
From Question to Experimental Design
Statistics
Derived from the Latin for state governmental data collection and
analysis
Study of data (branch of
mathematics dealing with
numerical facts i.e. data)
The analysis and interpretation
Generalized scheme of logical components of a
research programme (Underwood 1997)
Weapon size versus body
size as a predictor of
winning fights
Start here
Observations
Patterns in space or time
Models
Explanations or theories
Hypothesis
Predictions based
Comparing Two Samples: Part II
Tests for Two Paired Samples
When each observation in sample A is in some way
correlated with an observation in sample B, the data
may be said to occur in pairs.
Test Ho: left foreleg and left hindleg lengths of deer are
e
Comparing Two Samples: Part I
Measurements
(data)
Descriptive
statistics
Normality Check
Frequency histogram
(Skewness & Kurtosis)
Probability plot, KS
test
YES
Data transformation
NO
Median, range,
Q1 and Q3
Mean, SD, SEM,
95% confidence
interval
Data t
Analysis of variance (3)
Measurements
(data)
Descriptive
statistics
Normality Check
Frequency histogram
(Skewness & Kurtosis)
Probability plot, KS
test
YES
Data transformation
NO
Median, range,
Q1 and Q3
Mean, SD, SEM,
95% confidence
interval
Data transf
Analysis of variance (2)
Measurements
(data)
Descriptive
statistics
Normality Check
Frequency histogram
(Skewness & Kurtosis)
Probability plot, KS
test
YES
Data transformation
NO
Median, range,
Q1 and Q3
Mean, SD, SEM,
95% confidence
interval
Data transf
Analysis of Variance (1)
Measurements
(data)
Descriptive
statistics
Normality Check
Frequency histogram
(Skewness & Kurtosis)
Probability plot, KS
test
YES
Data transformation
NO
Median, range,
Q1 and Q3
Mean, SD, SEM,
95% confidence
interval
Data transf
Power Analysis with G*Power
A. Comparing Two Samples
Independent Samples t test
B. Comparing More than 2 Samples
Analysis of Variance (ANOVA)
G*Power 3 Free Software
http:/www.psycho.uniduesseldorf.de/abteilungen/aap/gpower3/
The difference between two s
Measurements
(data)
Descriptive
statistics
Normality Check
Frequency histogram
(Skewness & Kurtosis)
Probability plot, KS
test
YES
Data transformation
NO
Median, range,
Q1 and Q3
Mean, SD, SEM,
95% confidence
interval
Data transformation
Check the
Homoge
Beauty Contest Results from Our Class Reject Ho: O = E
Normal Distribution & Inferential
Statistics
BIOL 2608 Biometrics
Frequency distribution
Tabular Presentation of Data
e.g.1 the number of sparrows nests per
hectare were counted for
each of 36 hectare
BIOL 2608 Biometrics
Descriptive Statistics
Measurement Theory
Biologists use measurements routinely in Lab or field
work by assigning numbers or groups (classes)
Apply mathematical operations to the data
e.g. Predict fish mass by their length through
BIOL1608 Biostatistics (201314)
Computer Lab 4 Chi square tests; ttests
Revision:
Chi square test for contingency table:
1.
Afishsurveywascarriedoutindifferentparts(eastern,centralandwestern)ofHong
Kongwaters.UsingChisquaretest,testwhethertheoccurrenceo
BIOL1608 Biostatistics (201314)
Computer Lab 3 Chi square tests: Contingency table, Binomial & Poisson distributions
Chi square test:
1. Chisquare test: In a questionnaire, 259 adults were asked what they thought about cutting air
pollution by increasin
BIOL1608 Biostatistics (10/02/2014)
Computer Lab 2 Basic statistics: normality checks + Chi square tests
Revision:
1. Open Class Data in Excel window go to worksheet class data 2014 (download from LSC 27
Jan)
2. Find n, mean, SD, variance, max, min and 95
1Page
Class 11 Maths Chapter 14. Mathematical Reasoning
Logic
Logic is the subject that deals with the method of reasoning. It provides us rules for
determining the validity of a given argument in proving theorem.
Statement (Proposition)
A statement is a
HKALE BIOLOGY

E1 Transport in humans
P.1

1. 1993/IB/8
(a) In an experiment performed on a dog, the relationship between cardiac output and blood volume of
the left ventricle just before contraction started was studied. This relationship was studied by
HKALE BIOLOGY

E1 Sexual reproduction in humans

P.1
1. 1990/IA/5
State precisely a source of each of the following hormones and gives a brief account of their functions:
(a) testosterone
(b) progesterone
(6 marks)
2. 1993/IB/7
Two experiments were cond
HKALE BIOLOGY

E1 Regulation of body temperature

P.1
1. 1993/IIB/8
Discuss the effects of temperature on physiological processes in plants and animals.
(20 marks)
2. 1999/IIB/4
A healthy young man lost his way while hiking alone in a mountain area. He
HKALE BIOLOGY

29 Applied Genetics

P.1
Recombinant DNA technology
1. 1999/IIB/7
Genetic engineering is the artificial manipulation of the genome of a organism. It includes gene cloning
and / or clonal propagation. Gene cloning refers to the creation of
HKALE BIOLOGY

E1 Osmoregulation and excretion
P.1

1. 1991/IB/10
Two groups of healthy adults, each consisting of 10 individuals, were in a state of normal hydration before
the experiment. The subjects were instructed to empty their bladders (this urin
HKALE BIOLOGY

3031 Evolution

P.1
1. 1991/IA/8
Evolutionary theory is supported by evidence from the following areas. Briefly describe how each has
contributed to the support of the theory.
(a) selective breeding
(b) paleontology (fossils)
(6 marks)
2