Unit 3 Flashcards

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1
Q

Describe the Scientific Cycle

A

hypothesis

Test the Hypothesis

Collect Data

Analyse data

Accept, Reverse or Reject hypothesis

Analyse, test and revise

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2
Q

When does an experiment produce negative results

A

hypothesis is wrong
experiment carried out wrong

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3
Q

Why are knowledge of results important

A

prevents needless duplication of results
Present a more realistic representation

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4
Q

What is a null hypothesis

A

proposes that there will be no statistically significant effect

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5
Q

\\why is publishing important

A

others are able to repeat the experiment for validity and reliability

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6
Q

Name types of scientific publication

A

seminars
conferences
posters
publishing in academic journals

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7
Q

What must be included in a publication

A

methods
data
analysis
conclusions

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8
Q

What is Peer review

A

specialists with expertise in the relevant field assess the scientific quality of your report

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9
Q

How can integrity and Honesty be assured in scientific reports

A

unbiased presentation of results
avoiding plagiarism
reduce opportunity for dishonesty
supply references

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10
Q

what 3 things must you remember with animal studies

A

replace
reduce
refine

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11
Q

What 3 things must you remember with human studies

A

informed consent
right to withdraw
confidentiality

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12
Q

What must be carried out before every experiment

A

risk assessment

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13
Q

What is a hazard

A

anything that may cause harm

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14
Q

What is a risk

A

the chance, whether high or low, that somebody COULD be harmed

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15
Q

What is validity

A

variables are controlled

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16
Q

What is accuracy

A

data and means close to true value

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17
Q

what is precision

A

mean values are close to eachother

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18
Q

What is reliability

A

consistent values in repeats and independant replicates

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19
Q

What is a pilot study

A

a small preliminary study conducted in order to evaluate the requirements for the experiment

20
Q

What is an independant variable

A

the one that changes

21
Q

What is a dependant variable

A

the one being measured

22
Q

What is a confounding variable

A

other variables besides the independant variable that may affect the dependant variable

23
Q

Benefits of in vivo studies

A

provides data for effects
allows study of complex interations

24
Q

Cons of in vivo

A

expensive ad time consuming
difficult to interpret results
difficult to prove causation

25
Q

Benefits of In Vitro

A

simple and less expensive
easier to control confounding variables
interpretation of results is simpler

26
Q

Cons of in Vitro

A

difficult to model complex interactions
Difficult to Extend results to whole organism or different species

27
Q

When are observational studies used

A

uses existing groups as its difficult to control independent variables

28
Q

What are controls used for

A

comparisson

29
Q

What is a positive control

A

system can detect positive result
-effect when there should be an effect

30
Q

What is a negative control

A

provides results in the absence of treatment
-no effect when there should be no effect

31
Q

Types of Sampling

A

representative - same mean and variation
random - equal chance of selection
systematic - selected at regular intervals
stratisfied - put into categories and sampled proportionately

32
Q

Difference between a repeat and a replicate

A

Repeat= repeated using same set in same period
Replicate = repeats whole investigation using new set of equipment

33
Q

Describe quantitative data

A

measured objectively (without opinion)
numerical value
take values from a finite set
discrete

34
Q

Describe Qualitative data

A

subjective and descriptive
can take any value
continuous

35
Q

What is ranked data

A

ordered from smallest to largest

36
Q

When can a valid conclusion not be made

A

when the experimental design was flawed

37
Q

Why should one-off results be treated with caution

A

not repeated for reliability

not checked experimentally for flaws in experimental design

38
Q

Why is replication important

A

limits the potential for misuse of data

39
Q

What is the purpose of a randomised block design

A

controlling confounding variables

40
Q

Discuss the principles and strategies that should be employed in the collection of representative samples.

A

same mean
same level of variation
random sampling/avoid selection bias
stratified sampling

40
Q

What happens in a random experimental design

A

objects or individuals are randomly assigned to an experimental group

41
Q

why is randomisation the most reliable way of creating similar treatment groups

A

doesnt involve bias or judgements

42
Q

What happens inn a randomised block design

A

subjects divided into similar blocks before randomly assigned to a treatment group

43
Q

What ca data be described as if it is far from the true value line

A

unreliable

44
Q

Why should sample sizes be large

A

allows results to be tested statistically

45
Q

What is the use of a pilot study

A

allows development and improvement of experiment
design is suitable for testing hypothesis
avoid wasting money
avoid flawed techniques

46
Q
A