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Advanced Higher Biology > 3.2 Experimentation > Flashcards

3.2 Experimentation Flashcards

1
Q

How do you achieve valid results?

A

control all confounding variables in order to prove that results (changes in dependent variable) are because of the independent variable

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2
Q

What are reliable results?

A

results that are consistent throughout repeats and independent replicates

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3
Q

What does it mean when results are accurate?

A

when data points or means of data sets are true to the true value
(bullseye)

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4
Q

What does it mean when data points are precise?

A

data points are close together
(grouping)

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5
Q

Pilot studies are used to help plan ___, assess ___ and check ___.

A

procedures, validity, techniques

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6
Q

The results of a pilot study allow for the main experiments design to be…

A

evaluated and modified

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7
Q

Pilot studies ensure that the main study has an appropriate range of values for the ___ ___.

A

independent variable

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8
Q

Summary:
Why would you conduct a pilot study?

A

allows the main study’s design to be evaluated and modified, and
ensures it has an appropriate range of values for the independent variable.
Pilot studies are used to help plan procedures, assess validity and check proficiency of techniques.
Pilot studies are used to determine the number of repeat measurements required to give a representative value for each datum point

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9
Q

A high degree of variability in the results of a pilot study indicates that…

A

the number of repeats should be increased for the main study

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10
Q

What is the independent variable?

A

the variable you change (the one that is ‘manipulated by investigator’)

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11
Q

What is the dependent variable?

A

the one you measure

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12
Q

What is the difference between a continuous and a discrete variable?
What are some examples of each?

A

A continuous variable is a range of values (eg age, time, concentration of solution ect)
A discrete variable is distinct and countable (eg different species, different types of solution)

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13
Q

What is the difference between a simple and a multifactorial experiment?

A

simple experiments have one independent variable, multifactorial ones have many

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14
Q

Conditions are more easily controlled in the ___ than in the ___.

A

lab, field

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15
Q

What is a drawback to conducting experiments in the lab?

A

results may not be applicable in a real life setting

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16
Q

What is an observational study?

A

a study where the independent variable is not directly controlled by the investigator, for ethical or logistical reasons
(eg experiment on smoking - you can’t ask people to smoke and then investigate them, so you have to find people that have already been smoking - but there is little control of confounding variables)

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17
Q

What are observational studies good at detecting?

A

correlation, but NOT causation

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18
Q

What are confounding variables?

A

any variables which affect the relationship between the independent and dependent variables

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19
Q

In cases where confounding variables cannot be easily controlled, ___ ___ ___ is used.

A

randomised block design

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20
Q

What does randomised block design do?

A

it ensures the effect of any confounding variables is the same across all treatment groups

21
Q

What do you compare the results of control groups to?

A

the treatment groups

22
Q

What is a negative control?

What does it seek to prove?

A

a group without the treatment/independent variable, used to prove that any affects are due to presence of the treatment/independent variable

23
Q

What is a positive control?

What does it seek to prove?

A

a control with a treatment that is known to provide positive results, used to prove that the experiment is capable of detecting positive results, should they occur in other groups

24
Q

What is a placebo group?

A

a group that is anonymously not given the treatment.
It is identical to a negative control, however it is subject to the placebo effect which complicates things hahalol

25
Q

What is the placebo effect?

A

a measurable change in the dependent variable as a result of the patient’s expectations rather than the independent variable/treatment

26
Q

‘In vitro’ refers to performing a procedure ___ an organism.
Give an example.

A

outside.
cells growing in a culture medium

27
Q

‘In vivo’ refers to experimentation ___ an organism.
Give an example.

A

inside.
a new drug

28
Q

Name a benefit and drawback to performing experiments in vitro and in vivo.

A

in vitro: confounding variables easy to control, but the results are less relevant

in vivo: allows researchers to investigate the overall effect on a treatment on an organism, but confounding variables are harder to control

29
Q

When it is impractical to measure every individual in a population, a ___ ___ is taken.

A

representative sample

30
Q

When should the sample size be increased?

A

when there is more natural variation

31
Q

Samples should have the same ___ as the population as a whole.

A

mean

32
Q

Name the three types of sampling.

A

stratified, systematic, random

33
Q

Describe stratified sampling.

A

members are divided into groups and sampled proportionally
(eg 7 blue monkeys and 14 red monkeys in a population - you’d sample 2 blue and 4 red or something along the 1:2 ratio)

34
Q

Describe systematic sampling.

A

members lined up and selected at regular intervals

35
Q

Describe random sampling.

A

members selected randomly - everyone has an equal chance of being selected

36
Q

How can you determine the reliability of measuring instruments?

A

repeated measurements of an individual datum point

37
Q

Discrete and continuous variables give rise to ___, ___ and ___ data.

A

quantitative, qualitative, ranked

38
Q

What is quantitative data?

A

data that is measured objectively, usually with a number

39
Q

What is qualitative data?

A

subjective and descriptive

40
Q

What is ranked data?

A

data that is lined up based on numerical (quantitative) values and assigned a rank

41
Q

What is the mean average?
What is the median average?
What is the mode average?

A

sum of numbers / number of numbers.
the middle number when all numbers are lined up.
most common value

42
Q

When does correlation exist?
Correlation does not imply ___.

A

when there is a relationship between two values.
causation

43
Q

Causation exists if changes in the ___ ___ affect the ___ ___.

A

independent variable, dependent variable

44
Q

Correlation is strong if there is a ___ spread of values from the line of ___ ___ on a graph

A

narrow, best fit

45
Q

Positive correlation is represented by (an upwards/a downwards) line of best fit.

Negative correlation is represented by (an upwards/a downwards) line of best fit.

A

an upwards.

a downwards

46
Q

(LOBF = Line of Best Fit)
Which graph has the strongest positive correlation?
1. A gently sloping upwards LOBF, with a small spread of points on the graph.
2. A more steeply sloping upwards LOBF, with a larger spread of points on the graph.

A
  1. (closeness is a better indicator than steepness)
47
Q

What is an error bar?

A

a line through a point on a graph that shows variation

48
Q

Data from an experiment without an independent replicate is not ___.

A

reliable

49
Q

Other than independent replication, suggest an improvement that can be made to experiments that may increase its validity.

A

increased sample size

Advanced Higher Biology (33 decks)

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