Introduction to Data + Statistics Flashcards

1
Q

What %(w/v) mean?

A

percentage ( weight [grams] / volume [millilitre] )

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2
Q

What are angstrom units used for?

A

These are used two express wavelengths and interatomic distances.
1 angstrom unit depicts 10 to the power -10 OR 0.1nm

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3
Q

What is the dilution factor equation?

A

volume 1 / volume 1 + 2

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4
Q

How do you work out the final concentration?

A

original concentration x dilution factor

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5
Q

What is quantitative data?

A

Values which are numbers.

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6
Q

What is qualitative data?

A

Values which aren’t numbers.

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7
Q

What are the 2 categories within quantitative data?

A

Quantitative Variables

Categorical Variables

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8
Q

What does Quantitative Variables mean?

A

Numbers which mean something in the real world.
Thus, discrete and continuous.
Discrete being numbers and Continuous being ratios.

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9
Q

What does Categorical Variables mean?

A

Numbers which assign participants to groups.
Thus, nominal and ordinal.
Nominal being types and ordinal being levels.

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10
Q

What can qualitative data include?

A
  • Words / Text
  • Photographs
  • Videos
  • Maps
    Taste / Smell / Touch.
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11
Q

What does analysis of data allow?

A

Analysis of data allows decisions to be made from the data.

  • Identifies patterns.
  • Assigns a level of probability.
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12
Q

What are the 4 different types of data?

A
  • Structured Data
  • Unstructured Data
  • Semi - structured Data
  • Metadata
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13
Q

What is structured data?

A
Tabular format (excel spreadsheet)
Pre - defined data model
Easy to analyse
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14
Q

What is unstructured data?

A

No pre - defined data model

IE: IMAGES

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15
Q

What is semi - structured data?

A

Data which isn’t in formal data structure.

Has tags / markers that humans and computers can read it.

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16
Q

What is metadata?

A

Data which describes and gives information about other data.

17
Q

What is statistics?

A

Scientific discipline = Collection / Classification / Analysis / Interpretation of data.
Imposes order and regularity via probability.

18
Q

Describe the statistical cycle.

A
Formulate the question.
Collect the data. 
Analyse the data.
Interpret the results.
REPEAT THE CYCLE.