Scientific Method Flashcards

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1
Q

Define primary data.

A

Data that you have measured or collected yourself.

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2
Q

Define secondary data.

A

Data or information that has been collected by someone else.

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3
Q

Define valid data.

A

Results that are affected by only a single variable.

Are reproducible.

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4
Q

Define reliable data.

A

Highly likely to be true.
A trustworthy source of information.
Reproducible data.

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5
Q

Define sample size.

A

The number of individual pieces of data collected in a survey.

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6
Q

Define research ethics.

A

The ethics of planning, conduct and reporting of research.

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7
Q

Define risk assessment.

A

Assesses the severity of a risk associated with the investigation.

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8
Q

Define prediction.

A

A statement about a future event.

A guess sometimes based on facts or evidence.

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9
Q

Define hypothesis.

A

A tentative prediction, usually based on an existing model or theory.

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10
Q

Define independent variable.

A

A variable upon which another variable depends; usually the dependant variable.

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11
Q

Define dependant variable.

A

A variable that changes as a result of changes to the independent variable.

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12
Q

Define controlled variable.

A

The variable that is controlled by the experimenter.

The variable that you keep the same.

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13
Q

Define mean.

A

The value obtained by dividing the sum of several quantities by their number.
An average.

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14
Q

Define median.

A

The middle number in a given sequence of numbers.

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15
Q

Define mode.

A

The value that occurs most frequently in a given set of data.

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16
Q

Define conclusion.

A

A very brief summary of the results and their implications.

17
Q

Define scientific method.

A

A process of observation, measurement and analysis.
Designed to test formulated hypotheses.
Helps us to - explain phenomena
- predict changes in a system

18
Q

What do hypothesises lead to?

A

Predictions that are ACCEPTED or REJECTED based on the investigation findings.

19
Q

Features of a sound hypothesis.

A

Based on observations and prior knowledge of the system
Offers an explanation for an observation
Refers to only ONE independent variable
Written as a definitive statement and NOT a question
Testable by experimentation
Leads to predictions about the system

20
Q

Features of a sound method.

A

Tests the validity of the hypothesis
Repeatable
Includes a control which DOES NOT receive a treatment
All variables are controlled where possible
Includes a dependent and independent variable
Only the independent variable is changed between treatment groups

21
Q

Define null hypothesis.

A

A hypothesis of no difference or effect

For every hypothesis, there is a corresponding null hypothesis

22
Q

What does a null hypothesis allow?

A

A hypothesis to be tested using statistical tests

If the hypothesis is accepted, then the null hypothesis is rejected

23
Q

Describe qualitative data?

A

Non-numerical and descriptive

Eg: sex, colour, presence/absence of a feature

24
Q

Describe quantitative data.

A

Characteristics for which measurements or counts can be made
Eg: height, weight, number
Can be - Continuous (number of offspring)
- Discontinuous (height of offspring in a family)

25
Q

What graphs are used to display qualitative data?

A

Bar and column graphs

26
Q

What are bar/column graphs used for?

A

Plotting data that is non-numerical or discrete for at least one variable (i.e. they are grouped into categories)

27
Q

What graphs are used to display quantitative data?

A

Line graphs

28
Q

Rules for line graphs.

A

Data must be continuous for BOTH variables
–The dependent variable is usually the biological response
–The independent variable is often time or experimental treatment
OBVIOUS trend: draw a line of best fit
Important fluctuations: connect data points
–Lines may be drawn with standard error or confidence intervals

29
Q

What are descriptive statistics used for?

A

Summarising data

Providing information about its distribution and spread

30
Q

Examples of some basic descriptive statistics.

A
Mean
Median
Mode
Variance
Standard deviation
Standard error
Confidence interval
31
Q

What are the mean, median and mode used for?

A

Identifying the central tendency of a data set

32
Q

What are the variance, standard deviation, standard error and confidence interval used for?

A

Quantifying the variability around the central value and evaluating the reliability of the mean

33
Q

What are line graphs used for?

A

Plotting continuous data in which the independent variable DIRECTLY affects the dependent variable

34
Q

Define measurement error.

A

The difference between a measured value of quantity and it’s true value.

35
Q

Define confidence interval?

A

Expresses the degree of uncertainty associated with a sample. It is an interval estimate combined with a probability statement.

36
Q

Define instrument accuracy.

A

A measure of the instrument’s veracity (accuracy)

37
Q

Define limitation of experimental design.

A

Every experiment has some limitation

Eg: time, cost

38
Q

What are the 3 basic transformations commonly performed?

A

Percentage
Rate
Average