Chapter 2 Flashcards

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1
Q

Investigating includes

A

Observation and performing of experiments

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2
Q

Define Scientific method

A

The scientific methods is a systematic collection and classification of data, and the making and testing of a hypotheses based on data.

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3
Q

Hypothesis

A

A possible explanation to account for the observations

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4
Q

Data

A

Observations and measurements; the results of an experiment

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5
Q

Define Theory

A

A hypothesis becomes a theory when there is an overwhelming amount of evidence to support it.

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6
Q

Define A Fair Test

A

A fair test is a test which controls all variables in an experiment except one; which is the one being tested, when in an attempt to answer the scientific question

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7
Q

Define Experimental/Human Error

A

A mistake by the human conductor of the experiment. They can however be avoided with sufficient care and checking.

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8
Q

Define Random Error

A

An error in an experiment due to the limits to the precision of the measurement

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9
Q

Define Systematic Error

A

An error that occurs in the experiment because of the way in which the experiment was designed.

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10
Q

Define Ethics

A

Moral principles and values

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11
Q

Define ethical behaviour

A

A behaviour that conforms to a set of moral principles and values

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12
Q

Define placebo

A

An inactive substance that looks like the real medications, in a medical experiment

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13
Q

Define placebo effect

A

A change or improvements in patients who are given a placebo or a ‘dummy’ treatment

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14
Q

Define Scientific model

A

A simplified representation of a complex idea or process is called a scientific model

Once the model has been developed it can be applied for a number of situations.
Eg lock-key model for enzyme with their specific chemical protein, flowcharts, diagrams of physical models.

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15
Q

What is a Variable?

A

A variable is any factor that may change during an experiment

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16
Q

What is an Independent Variable

A

The independent Variable is the factor that is being investigated- the factor which is being deliberately changed to determine its effect.

It is deliberately different between the control and the experimental group in an experiment.

AKA = manipulated or experimental variable

17
Q

What is the Dependent Variable?

A

The dependent variable is the factor that changes in response to the changes made to the independent variable. It is sometimes called the responding variable.

18
Q

What is the controlled variables?

A

The controlled variables are the factors that are kept the same for both the control and the experimental groups in the experiment.

19
Q

What is the uncontrolled variable?

A

Uncontrolled variables are variables that were not kept the same for both control and experimental groups in the experiment.
The may have be overlooked by the experimenter or they may ave been impossible to control.

20
Q

Why use Graphs?

A

They are a useful way to present data so they can be understood easily.
A graphs shows how changes in one variable are affected a second variable.

21
Q

Important things to remover when drawing a graph (x4)

A
  • label the axes with the names of the variables
  • indicate the units in which each variable is measured
  • give the graph a title that summaries the relationship illustrated by the graph
  • use equal intervals on each axis
22
Q

What the three main types of graphs

A

Bar/column, Histogram and line graph

23
Q

Specifications of line graphs

A

Most commonly used

Draw dots and connect them

24
Q

Specifications of bar or column graphs

A
  • represents data by rectangles l equal width, spaces between the rectangles.
  • length of the rectangle represents the quantity so various quantities could be compared between each other
25
Q

Specifications of a Histogram

A
  • often used to show frequencies (how often a particular value or even occurs)
  • equal width but no space in between the bars
  • used particularly when data is put into categorical groups to make them more manageable
26
Q

How make a good table

A
  • Table must have a Title ; including the variables in the exp.
  • Data represented in columns ( usually DV in right, IV in Left) no definitive rule tho
  • each column has heading that names the variable and the units in which it is measured.
27
Q

Why are Placebos used in an experiment?

A

They are used in research to see the effectiveness of medical treatments, such as a new medicinal drug.

A placebo is an inactive substance that looks like the real medication.
- looks the same, given the same

The subjects will not know who is getting the placebo (blind test) - sometimes the conductor will not know either (double blind test) to ensure there is no bias.

Placebo is a dummy treatment which can come in many shapes or forms including - tablets, injection, skin patch, nasal spray, diet, physical therapy or even mock surgery.

28
Q

Explain the Placebo effect

A

Patients who are given a placebo often show an improving in their condition even though the placebo is inactive. - the placebo effect
This is due to the power of the mind - thinking the therapy is real and will bring improvement.

29
Q

List the principles that an investigation must satisfy if it is to be ethically sound. (x5)

A
    1. Voluntary Participation- no pressure from others to partake
    1. Informed consent - they should be fully informed about the objectivity of the experiment, the procedures, any risks or benefits; consent must be written and asked for after all information is given.
    1. Risk of Harm- the possibilities of harm should be minimised and the relationship between the risk and the benefit should be assessed.
      1. Confidentiality- procedures need to be adopted to ensure that the identification of participants will not be revealed except to the people directly involved in the case.
      2. anonymity - stronger guarantee of privacy than confidentiality; participants in study remain anonymous even to researchers. {however sometimes this may not be able to occur - instrument sizes ect.}
30
Q

Errors in Experiments

A

Results always contain errors which is why scientists rarely are definitive about their results; instead they say probably, most likely ect.

Experimental error is also one of the reasons why favourable experimental results cannot prove hypothesis- they can only support

31
Q

Types of experimental error

A

Human error
Systematic error
Random error

32
Q

What is the purpose of designing an experiment?

A

An experiment is designed so that the results clearly support or disprove the hypothesis being tested.

To support or disprove the hypothesis only one factor or variable is tested at a time. A control or comparison, experiment is done in which the only difference is in the one variable being tested.

Such an experiment, involving an experimental group and an appropriate control group is known as a ‘fair test.’

33
Q

How to write a good hypothesis

A

A hypothesis is a tentative proposal made to explain certain observations.

  1. Usually a definitive statement - not a question
  2. Short - easier to test a simple hypothesis than a complex one
  3. Has a single idea to be tested
  4. Usually links two variables
34
Q

Explain scientific theories

A

Eventually if enough supporting evidence is collected and three is no evidence against the hypothesis, then it will become a theory.

A scientific theory has been established and verified through investigation. It has been accepted as valid because it has been repeatedly tested.

35
Q

Religion and Science

A

Science cannot test matters of religious faith or personal Tastes Eg music

36
Q

Describe the scientific methods process

A
  • Scientific Method beings with a problem
    1. Recognition of the problem
    2. Collection of Information related to the problem
    3. Making a Hypothesis
    4. Testing the Hypothesis via a suitable experiment
    5. Collection of data from the experiment
    6. Make a conclusion (hypothesis is supported or disproved)
  • with data if the hypothesis is disproved go back and make a new hypothesis or there might be new questions to answer so go back to the recognition step.
37
Q

One word scientific method steps

A
  • Recognition
  • Collection
  • Hypotheis
  • Testing
  • Results
  • Conclusion