Lecture #2/#3 (Data & Central Tendencies) Flashcards

1
Q

What is the most effective visualization for nominal data?

A

A pie chart

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2
Q

What is the most effective visualization for ordinal data?

A

A bar graph

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3
Q

A histogram is

A

a visualization that shows frequency

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4
Q

How should you group your data?

A

You should find logical break points, avoid empty classes and use a method that communicates your data

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5
Q

What is an advantage to scatter plots?

A

Scatterplots is useful for comparing two sets of data

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6
Q

A time series plot is useful why?

A

It shows trends over time (think climate change graphs)

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7
Q

What are common mistakes with data visualization?

A

Too much data is present, color contrast is misleading, inappropriate projection, zooming in on favorable data

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8
Q

Name the the numerical summaries (basic, central tendencies and dispersion)

A

Min, max, range
Mean, median, mode, modality, skewness, kurtosis
Variance, standard deviation, coefficient of variation

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9
Q

A median is the

A

middle value (median = 5 in this data set: 1, 3, 3, 5, 6, 7, 8)

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10
Q

The mode represents

A

The most commonly observed value (mode = 3 in this data set: 1, 3, 3, 5, 6, 7, 8)

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11
Q

The mean centre is the

A

Measure of the average of the X & Y coordinates (think political graph; where do Canadians average on the graph?)

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12
Q

What is the weighted mean centre?

A

The mean centre but accounting for the weight of each coordinate

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13
Q

What is problematic about the mean centre?

A

The mean centre is sensitive to outliers

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14
Q

What does the median centre do?

A

The median centre takes the point where distances to every point is the lowest (best place to have a neighborhood hub)

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15
Q

The median centre is also known as

A

The Webber Point or the point of Minimum Aggregate Travel (MAT)

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16
Q

The measure of central tendancies can be problematic because

A

it can hide the range of the data. Both sets come to a mean of 50 (45, 50, 55) (10, 50, 90)

17
Q

Variance is

A

The mean of the squared differences from the mean

18
Q

Standard deviation is

A

The square root of the variance

19
Q

What are some flaws of standard deviation?

A

Standard deviation is an absolute measure so it is unit specific

20
Q

The coefficient of variation is

A

Measures of the standard deviation divided by the mean and reported as a percentage

21
Q

A standard deviation ellipse is when

A

You take the standard deviation of each the Y and X

22
Q

Kurtosis is

A

how flat the distribution is (PLM)

23
Q

Platykurtic is

A

a flat kurtosis (think Plat = Flat)

24
Q

Leptokurtic is

A

a sharp kurtosis

25
Q

Mesokurtic is

A

A normal kurtosis

26
Q

Skewness is

A

how the highest value of a differs from the centre value

27
Q

Positive skewness and negative skewness differ because

A

positive starts off high and negative ends off high