How Science Works Flashcards

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1
Q

🔴️Importance of a large number of results

A
  • Anomalies can be identified
  • Results are more reliable and representative
  • Can use of statistical tests
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2
Q

🔴️Why should a location be selected randomly

A
  • Reduces bias
  • Statistical tests can be carried
  • More representative data as choice of (x) not influencing data
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3
Q

🔴️Why is it important to check the repeatability of measurements?

A
  • Increases the reliability of measurements
  • Anomalies and personal error can be identified
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4
Q

🔴️A scatter diagram can be used to check the repeatability of a test. How?

A
  • Plot appropriate graph
  • Points should lie close to the line of best fit
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5
Q

🔴️Why is a statistical test needed?

A
  • The statistical test determines the probability that the results are due to chance
  • It allows the null hypothesis to be accepted/rejected
  • It determined whether the results are significant
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6
Q

🔴️A statistical test showed that the difference between 2 frequencies of the t allele was significant at the P=0.05 level. Explain

A
  • There’s a 5% probability that the difference in results are due to chance
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7
Q

Explain the advantage of presenting the results as a ratio or ‘Per unit’

A
  • Easier to have a valid comparison
  • the sample size may vary
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8
Q

Explain why it was important to grow the ‘plants’ under the same conditions up to ten days before the experiment.

A

So any difference is due to XYZ

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9
Q

2 advantages of measuring the conc needed to kill 50% of the population in order to determine the effect of a pesticide.

A
  • Provides a standard for comparison of the efficacy of different pesticides
  • Does not kill all the tadpoles
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10
Q

Suggest two advantages of carrying out investigations in natural habitats

A
  • Can see effect of other biotic factors e.g predators
  • Can see effect of abiotic factors e.g temperature
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11
Q

Advantage of research being conducted by the government’s scientists.

A
  • No bias so it’s trustworthy;
  • Non-profit making;
  • Focused on advancing environment
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12
Q

How do we treat control groups?

A
  • treat exactly the same but do not give the drug
  • give a placebo
  • this is done to compare the effect of treatment
  • makes sure change in dependent variable is only due to independent variable
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13
Q

What is null hypothesis?

A
  • There is no difference between x and y
  • Any difference is due to chance
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14
Q

Reasons why the results of a study may be flawed?

A
  • Small sample size
  • Not sure of long-term ramifications
  • No repeats
  • Bias, not representative
  • Not quantifiable results e.g ‘improvement’
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15
Q

Why should the species of animals be kept the same in an experiment

A
  • Similar alleles;
  • Controls so genes not a factor
  • Only indepents variable affects results
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16
Q

other than cost which factors should be considered when selecting an antibiotic to treat a bacterial disease.

A
  • side effects e.g allergic reactions
  • interaction with other drugs
  • should only act on the problem bacteria
  • how much resistance the bacteria have built up;
17
Q
A
18
Q

Why is measuring rectal temp better than measuring skin temp to find core temp?

A
  • Skin temperature fluctuates more
  • As more affected by environment
19
Q

Why do women outlive men?

A
  • male risk of CVD
  • more males smoke and drink to excess
  • males involved in war;
20
Q

why may specific populationsshow very low levels of genetic diversity.

A
  • Population might have been very small (genetic bottleneck)
  • Population might have started with small number of individuals (founder effect)
  • Inbreeding;
21
Q
A
22
Q

Why is a statistical test important in analysing results

A
  • Statistical test determines the probability of results being due to chance;
  • Enables null hypothesis accepted/rejected;
  • Determines whether correlation in result is significant;
23
Q

Explain what accurate and reliable mean

A
  • Accurate means close to the true value
  • Reliable means that measurements can be reproduced when repeated to give similar readings