How Science Works Flashcards

1
Q

What does standard deviation show?

A

Spread of data around a mean and effect of any outliers

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2
Q

Why should you use standard deviation bars are not ranges

A
  1. Allows us to see the spread of data around a mean
  2. Allows us to see effect of any outlines.
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3
Q

What can scientist do to make this more reliable?

A
  1. Repeat
  2. Stats test to see if significant differences are due to chance
  3. Peer review
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4
Q

Valid conclusions need to be….

A
  1. Large sample size so representative
  2. Control used to see the effect of…
  3. Mean and SD to determine significant differences
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5
Q

Null hypothesis

A

X will have no effect if on the rate of reaction of y therefore
There will be no significant between mean rates of reaction

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6
Q

Explain why a log scale is used

A

Large range in numbers and allows us to see exponential growth

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7
Q

Large SD bars shows

A

A large range in variation around the means so less reliable mean value

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8
Q

Small SD bars show

A

A small range of variation around the means so more accurate mean value

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9
Q

Suggest why scientists recorded both percentage change and tumour volume

A

Percentage change = slows us to compare tumour as may differ in size/ volume
Tumour volume = as tumours may differ in shape

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10
Q

AO3 PLAN

A
  1. 2-3 comments on general trend
  2. Does STUDENTS CONCLUSION match data
  3. Validity = Where was the experiment data from ( computers,cultured,in test tube, not in sane environment so act with different behaviour, Petri dish ( in vitro ), ISOLATED
  4. If medicine, do we know dosage, side effects
  5. No stats test to see significant differences
  6. Other abiotic / biotic factors that effect data
  7. Reliability = sample size, length of study, season , habitat
  8. Is there a Control to compare to
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11
Q

When do u use t test

A

To compare 2 means to see if they are significantly different

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12
Q

When do u use correlation coefficient

A

To see if link between 2 covariables is significant

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13
Q

When do you use chi squared test

A

To see if differences in observed and expected values in categorical data are significantly different

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14
Q

P< 0.05

A
  1. There is a significant difference between mean rate of reaction
  2. There is a significant increase / decrease in rate of reaction from
  3. There is a less than 5% probability that significant differences are due to chance
  4. Reject null hypothesis
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15
Q

P>0.05

A
  1. There is no significant difference in mean rate of reaction.
  2. There is more than 5% probability significant difference are due to chance
  3. Accept null hypothesis
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16
Q

P<0.01

A
  1. There is a highly significant difference between mean rate of reaction
  2. There is a significant increase/ decrease in mean rate of reaction at …compared to…
  3. There is less than 1% probability that significant differences are due to chance
  4. Reject null hypothesis
17
Q

R= 1, P<0.05

A
  1. There is a strong positive correlation between….
  2. As … increases , the other factor increases
  3. This relationship is significant as P<0.05, meaning less than 5 % probability that the relationship is due to chance
  4. Reject null hypothesis
18
Q

R=-1, P>0.05

A
  1. There is a strong negative correlation between x And y
  2. as x increase , y decreases
  3. The relationship is not statistically significant as P > 0.05 which means greater than 5 % probability that the relationship is due to chance
  4. Accept null hypothesis
19
Q

SD bars overlap

A

There is a significant difference
( direction ) significant decrease in mean rate of reaction from 20 to 40

20
Q

SD bars don’t overlap

A

There is a significant difference
( direction ) significant increase in mean rate of reaction from 20 to 40

21
Q

What is an control used for

A

To allow comparison to the the effect of

22
Q

Describe how to set up a control

A

Set up a control with no ( to the effect of ) independent variable with all environmental factors the same ( temperature, light, PH)

23
Q

Degrees of freedom

A

N-1 ( number of different types of … -1)

24
Q

How to determine significant difference from chi squared table

A

Go down column with P=0.05
Go across column with degree of freedom value
If x2 value of greater than expected value than no significant difference, not due to chance