How Science Works As Flashcards

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1
Q

what is a control experiment for

A

to compare the results from the real experiment to

to determine that any changes in the dependant variable is directly caused by changes to the independent variable

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2
Q

how to treat the control group

A

treated the same/same drug administered the same

give a dummy/ fake drug/saline/water

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3
Q

define control variable

A

thing you keep the same to ensure an accurate result

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4
Q

define independent variable

A

the thing you change (x axis)

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5
Q

define dependant variable

A

the thing you measure (y axis)

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6
Q

examples of control variables

A

age
sex
ethnicity

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7
Q

why have percentages/rates/ratios

A

allows comparison as they have different populations/starting masses/birth rates ect.

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8
Q

how to tell if there are valid results

A

if nothing has affected the accuracy of the results e.g. how many species, sample size, appropriate temperature/concentration/standard deviation ect.
look for results which don’t follow the pattern and quote them

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9
Q

how to comment on correlation

A

say if there’s a positive or negative correlation
say this might not mean causation
could be due to another factor and give another example
state the points which don’t fit the sample

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10
Q

how to avoid bias

A

no professional/personal investment in conclusion

random choice of people/ sample is more representative

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11
Q

why do you need to avoid bias

A

so everything is random

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12
Q

what to do when it says evaluate

A

give positives and negatives
say what supports the conclusion and what doesn’t
quote data

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13
Q

what to do when it says describe

A

say what you see - completely

quote figures

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14
Q

what to do when it says explain

A

say why something has happened in detail with keywords and phrases

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15
Q

what to do when it says suggest

A

give a sensible based on the information provided
no definitive answer
if you are asked to suggest something, you will generally not have been taught it specifically
you are expected to use the info to give sensible reasons why something may happen

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16
Q

how to find unknowns

A

what variables you would plot
draw a line of best fit
state where you would extrapolate the answer on the graph

17
Q

define standard deviation

A

spread of data around the mean

18
Q

what does it mean if standard deviations overlap

A

there is no real difference between the two results

19
Q

what to write if it asks about if there is a significant difference

A

there is a less than 5% probability that the results are due to chance if there is a real significant difference

20
Q

when to include anomalous

A

ignore them if they are one of a set of repeated results

otherwise include to reduce the possibility that a key point is being overlooked

21
Q

how to find the uncertainty

A

plus or minus half the smallest division

22
Q

define precision

A

little spread about the mean value

depends only on the extent of random errors - it gives no indication of how close the results are to the true value

23
Q

define repeatablility

A

original experimenter repeats the investigation using the same method and equipment and gets the same results

24
Q

define reproducibility

A

if the investigation is repeated by another person or different equipment or techniques, and the same results are obtained

25
Q

when to use logarithmic scale

A

when dealing with really big scales/ranges

26
Q

how to calculate percentage change

A

change/original x 100

27
Q

define accuracy

A

close to the true value

28
Q

why to join the dots on the graph

A

when we don’t know the intermediate values

29
Q

how to increase the accuracy of a investigation

A

carry out more tests around the estimated value to make the interval smaller
repetitions of each

30
Q

when to use a T-test

A

looking for a difference between two means

31
Q

when to use a spearman’s rank test

A

looking for correlation between two continuous sets of data

32
Q

when to used a chi squared test

A

when looking at frequencies

categoric data, same dependant variable

33
Q

when is a T-test significant

A

when there is less than a 5% chance that the difference is due to chance

34
Q

when is a spearman’s rank significant

A

when the correlation is close to + or - 1

35
Q

how to do a chi squared test

A

compare data with an expected value

difference will be significant or not

36
Q

things to remember making a scientific drawing

A

no sketchy lines
draw to the left of the page and label to the right of the page
give the scale (magnification)

37
Q

when to use micromols

A

good for when you are dealing with very small quantities and allows you to avoid using many decimal places