Unit 3 Flashcards

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
Benefits of In Vitro
simple and less expensive easier to control confounding variables interpretation of results is simpler
26
Cons of in Vitro
difficult to model complex interactions Difficult to Extend results to whole organism or different species
27
When are observational studies used
uses existing groups as its difficult to control independent variables
28
What are controls used for
comparisson
29
What is a positive control
system can detect positive result -effect when there should be an effect
30
What is a negative control
provides results in the absence of treatment -no effect when there should be no effect
31
Types of Sampling
representative - same mean and variation random - equal chance of selection systematic - selected at regular intervals stratisfied - put into categories and sampled proportionately
32
Difference between a repeat and a replicate
Repeat= repeated using same set in same period Replicate = repeats whole investigation using new set of equipment
33
Describe quantitative data
measured objectively (without opinion) numerical value take values from a finite set discrete
34
Describe Qualitative data
subjective and descriptive can take any value continuous
35
What is ranked data
ordered from smallest to largest
36
When can a valid conclusion not be made
when the experimental design was flawed
37
Why should one-off results be treated with caution
not repeated for reliability not checked experimentally for flaws in experimental design
38
Why is replication important
limits the potential for misuse of data
39
What is the purpose of a randomised block design
controlling confounding variables
40
Discuss the principles and strategies that should be employed in the collection of representative samples.
same mean same level of variation random sampling/avoid selection bias stratified sampling
40
What happens in a random experimental design
objects or individuals are randomly assigned to an experimental group
41
why is randomisation the most reliable way of creating similar treatment groups
doesnt involve bias or judgements
42
What happens inn a randomised block design
subjects divided into similar blocks before randomly assigned to a treatment group
43
What ca data be described as if it is far from the true value line
unreliable
44
Why should sample sizes be large
allows results to be tested statistically
45
What is the use of a pilot study
allows development and improvement of experiment design is suitable for testing hypothesis avoid wasting money avoid flawed techniques
46