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Summary Advanced Higher/ A-Level Biology - Experimentation $6.53   Add to cart

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Summary Advanced Higher/ A-Level Biology - Experimentation

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Advanced Higher/ A-Level Biology course notes. Concise notes covering the topic of experimentation. Notes are easy to follow, highlight key-points, and give supportive question examples where appropriate.

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  • April 27, 2024
  • 5
  • 2020/2021
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EXPERIMENTATION
Validity Variables controlled so that any measured effect is likely to bedue to the independent
variable


Reliability consistent values in repeats and independent replicates

Accuracy Data or means of data sets are close to the true event

Precision Measured values are close to eachother

2 a Pilot Study
◦A pilot study is integral to the development of a scienti c investigation.

◦The purpose of the pilot study is to develop and improve experimental protocols, ensuring
that the experimental design is suitable for investigating the aim and hypothesis.

◦The use of pilot studies is necessary to avoid wasting signi cant time and money on full-
scale investigations using awed experimental methods.

◦A pilot study should be used to provide information and data on a number of parts of
experimental design, as summarised below.


Importance of a pilotstudy
Intergral to the development of an investigation a pilotstudy
is used to help PLAN PROCEDURES ASSESS VALIDITYand
CHECK TECHNIQUES


This allows for EVALUATION and MODIFICATION of
EXPERIMENTAL DESIGN

The use of a pilotstudy can ensure an APPROPRIATE
RANGEOFVALUES FORTHE INDEPENDENT VARIABLE


in addition it allows the
invetigator to establish the
number of REPEAT MEASUREMENTS REQUIRED to give
a REPRESENTATIVE VALVE each independent
for
datum point

Identify and control CONFOUNDING VARIABLES

Develop a NEW PROTOCOL or enable an investigator to BECOME PROFICIENT is using an
established protocol


Check whether results can be produced in a SUITABLE TIMEFRAME

, 2 b Experimental Design
i Independent 31 Dependent Variables

In an experiment, the experimental treatment group is compared to a control group. However, in
any biological experiment, there is usually a large number of factors that can change, known as
variables. Experimental variables can be spit into three types; independent, dependent and
confounding.


Independent Variable the variable that is deliberately changed by the investigator to determine if it
has an effect on the outcome of the experiment

Dependent variable a variable that is measured to determine if changing the independent variable
has an effect

Experiments involve the manipulation of the independent variable and measuring of the
dependent variable
by the investigator

Variables can be classed as either discrete or continuous data
DISCRETE VARIABLES
have FINITE VALUES that allow placement into SEPERATE GROUPS
For example sex blood groups 31 eye colour

CONTINUOUS VARIABLES
chang gradually from ONE EXTREME TO ANOTHER potentially having an
INFINITE NUMBEROF POSSIBLE VALUES
Forexample height age 31 solution concentration


TYPES OFEXPEXPERIMENTAL DESIGN

Experiments can be simple, changing only one independent variable, or multifactorial, changing more
than one independent variable.

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