1: Descriptive Statistics Flashcards

1
Q

Time series data

A

observations on the values a variable takes over time. for example, quarterly GDP

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

cross-sectional data

A

data of individuals, households, firms, cities, states, countries, or other units of interest at a specific point in time.
obtained from random sampling of underlying population
for example, class results on a certain test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

panel data

A

the same cross-sectional units are followed over time
used to model lagged responses

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

pooled cross sections

A

data configuration where independent cross sections, usually collected at different points in time, are combined to form a single data set

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

positive skewness

A

there are positive outliers, positive extreme values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

negative skewness

A

there are negative outliers, negative extreme values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

positive kurtosis

A

more peaked than normal
there are more observations around the mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

negative kurtosis

A

less peaked than normal
observations are more evenly spread

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

zero kurtosis

A

equivalent to the normal distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

skewness formula

A

=((1/(N−1)) ∑▒(y_i−y ̅ )^3 )/((σ^2 )^(3/2) )

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

kurtosis formula

A

=((1/(N−1)) ∑▒(y_i−y ̅ )^4 )/((σ^2 )^2 )

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

correlation and covariance

A

measure the extent to which two variables move together
covariance has units
correlation has no units and ranges from -1 to 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly