Scientific Methods Flashcards

1
Q

Problems encountered when dealing with scientific data

A

Confounding variables and bias

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2
Q

Define Inductive reasoning

A

The process of reasoning that a general principle is true because the all of the special cases you’ve seen so far are true.

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3
Q

Example of inductive

A

If all people you’ve ever met from a particular town have been very strange, you might then say “all the people in this town are strange”.

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4
Q

Define Deductive reasoning

A

The process of concluding that something must be true because it is special case of a general principle that is taken to be true.

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5
Q

Example of deductive reasoning

A

If you know the general principle that the sum of the angles in any triangle is always 180 degrees, and you have the particular triangle in mind, you can then conclude that the sum of the angles in your triangle is 180 degrees.

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6
Q

Inductive or deductive?

If you take your medicine, you’ll feel a lot better. You take your medicine, therefore, you’ll feel a lot better.

A

Deductive

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7
Q

Inductive or deductive?

Marins first three children were boys. If she has another baby, I will be a boy.

A

Inductive

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8
Q

The scientific method

A

Discipline of critical thinking that subjects ideas to review and independent repetition in order to reduce the level of uncertainty we may have about how the physical world works.

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9
Q

Observation

A

Collecting and being curious about data or observations and seeing a question or a problem. Observations lead to questions that need to be answered to satisfy curiosity.

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10
Q

Construct hypothesis

A

Educated guess about how things work.

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11
Q

Designing an experiment

A

Collecting data, observations the hypothesis must be properly tested in order for the experiment to be logically valid.

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12
Q

Examining and interpreting

A

Drawing a conclusion from the results

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13
Q

Evaluating

A

Evaluating the results in the context of the hypothesis

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14
Q

Peer-reviewed, evaluation, publication

A

The work can now be examined and tested by others. The hypothesis shows whether to be true or not.

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15
Q

Does the scientific method prove things are true?

A

Science does not prove things to be true, only show things are not true.

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16
Q

Law

A

If a theory is analyzed and shown to be true, then the theory becomes a law.

17
Q

Theory

A

Experiments and studies on a particular hypothesis and failure to show the hypothesis to be ‘not true’ the hypothesis may come to be known as a theory

18
Q

A changing theory

A

Theories evolve and can even be completely discredited in the face of new evidence.

19
Q

Alfred Wegener

A

His first observation was that continents seemed to fit together like a jigsaw puzzle, especially Africa and South America

20
Q

Sample (of a study)

A

The subjects of the study, the individuals or object that were used by the experimenters to collect data

21
Q

Population (of a study)

A

The entire group

22
Q

Collecting data

A

Data collected
To be able to determine if the appropriate data were collected, you need to understand the purpose of the study or hypothesis.

23
Q

Confounding variables

A

Confounder is a variable that influences both the dependent variable and independent variable.

How the independent variable, to see whether that has any affect on the dependent variable.

24
Q

Independent variable

A

=amount of ice cream

25
Q

Dependent variable

A

= # of people who eat the ice cream

26
Q

Bias

A

Favour or against something

27
Q

Selection Bias

A

Choosing samples for an experiment or bias in setting the parameters for an experiment.

28
Q

Funding bias

A

Reporting results which favour the funding organization.

29
Q

Confirmation bias

A

The tendency to use data supporting your beliefs.

30
Q

Publication/reporting bias

A

Bias un publicizing certain results over other results, or a bias in reporting unexpected results.

31
Q

4 types of Bias

A

Selection bias
Funding bias
Confirmation bias
Publication/reporting bias

32
Q

Types of selection bias

A

Sampling bias, Time interval bias, Particular bias, Data bias, Attrition bias

33
Q

Sampling bias

A

The participants/items selected for a study may introduce a bias in your analysis

34
Q

Time interval bias

A

Arbitrarily choosing to end an experiment when it supports a certain claim.

35
Q

Participation bias

A

When individuals volunteer to participate in a study, three might be participation bias

36
Q

Data bias

A

Choosing to use only a certain subject of the data

37
Q

Attrition bias

A

Discounting trial subjects/tests that didn’t not complete a study.