L2 - Descriptive data analysis and hypothesis development Flashcards

1
Q

Difference between isomorph and homomorph mapping of the world

A
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2
Q

Draw levels of measuremnt of the variable

A
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3
Q

what is mode

A

most frequent value

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4
Q

For which levels of measurement can the mode be applied?

A

all of them

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5
Q

For which level of measurement can median be applied

A

at least ordinal

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6
Q

for which level of measurement can mean be applied

A

at least interval scale

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7
Q

What is more informative for a skewed distribution? Median or Mean?

A

Median

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8
Q

If you have a left/negatively skewed distribution then is the mean or median higher?

A

median is higher

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9
Q

In a right-skewed distribution the X is typically higher than the Y

A

mean is higher than median

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10
Q

Range at least which scale?

A

ordinal

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11
Q

IQR which scale at least?

A

ordinal

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12
Q

variance at least which scale?

A

interval

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13
Q

What is Kurtosis

A

Peakedness

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14
Q

What is y = 0 (Kurtosis measure)

A

normal distribution

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15
Q

y > 0

A

peaked distribution

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16
Q

Skewness measure

A

gm

17
Q

What if gm > 0:

A

right-skewed

18
Q

How does kurtosis: 1.77 and skew 1.4 look like?

A
19
Q

What are 3 measures of association between two variables?

A
  • Product-moment correlation (Pearson)
  • Rank correlation (Spearman)
  • Cramer’s V
20
Q

What is the range for pearson?

A

-1 to 1

21
Q

Wat is spearman range?

A

-1 to 1

22
Q

range for Cramer’s V

A

0 to 1

23
Q

What is a Cramer’s V of 0?

A

No association (1 is perfect association)

24
Q

Are the minimal scale requirements the same for person and spearman?

A

No. Pearson needs at least interval and Spearman at least ordinal.

25
Q

When is Cramer’s V used

A

both variables are nominal

26
Q

If there are outliers then is the rank correlation or person more robust?

A

Spearman is more robust

27
Q

What is induction?

A

from specific to general

28
Q

What is deduction

A

from general to specific

29
Q

What is general validity?

A

If it goes beyond a single case

30
Q

two main aspects of a good scientific hypothesis?

A
  • Falsifiability
  • Empricial context
31
Q

What is falsifiability about?

A
  • Variables must be observable
  • existential hypothesis are problematic (something “can” happen)