Quantifying Enviromental Impacts Flashcards

1
Q

What are the two types of data?

A

Quantitative and Qualitative

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2
Q

What are the two types of quantitative data?

A

Continuous and Discrete

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3
Q

What is continuous data?

A

Data which has an infinite number of possible values

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4
Q

What is discrete data?

A

Data which deals with distinct values

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5
Q

What are the two types of qualitative data?

A

Ordinal and nominal

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6
Q

What is ordinal qualitative data?

A

Data that is non-numerical but has relative numerical values

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7
Q

What is nominal qualitative data?

A

Data that is unordered, and distinct by name only

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8
Q

How do we find the median?

A
  1. Sorting the values in value order

2. Finding the middle number

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9
Q

What is the position of the sample median for an ordered set of n values?

A

n+1/2

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10
Q

What is the interquartile range?

A

75th percentile - 25th percentile

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11
Q

What is the 50th percentile?

A

The median, the point at which 50% of the data lies below

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12
Q

What data visualisation tool would you use to display continous data?

A

Histograms

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13
Q

Describe a histogram

A

Simple useful way to display continous data
Partition data into distinct bins
Mean is the balancing point of a histogram

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14
Q

Describe the relationship between the mean and the median if the data is right skewed

A

Mean > Median

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15
Q

Describe the relationship between the mean and the median if the data is left skewed

A

Mean < Median😆

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16
Q

What does the lower limit of the box in a box plot represent?

A

25th percentile, point at which 25% of the data lies below

17
Q

What does a quilt plot show?

A

Summarizes geo-referenced data

18
Q

Give some points to think about when constructing plots

A
  • Consider if data is best displayed in a table
  • Make it self-explanatory
  • Choose a convient scale
  • Include the origin
19
Q

Give some points to think about when constructing tables

A
  • Arrange rows/columns in some natural order
  • Provide a title and brief explanation of data displayed
  • Consider splitting data into smaller tables
  • Round appropriately