Political Analysis Midterm Flashcards

1
Q

Robust stat

A

it is not sensitive. The median will basically always be the same

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2
Q

Hypothesis

A

some type of relationship between two variables. Hypothesis is part of scientific method

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3
Q

Counterfactual

A

opposite of treatment. If treatment is did you come to review session, counterfactual = did you not come to the midterm review session

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4
Q

Dummy variable

A

variable that takes value of 0 or 1

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5
Q

Confounder

A

other factors, ex. Sleep
Some type of variable that affects treatment and outcome

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6
Q

Dependant variable

A

outcome

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7
Q

Independent variable

A

treatment

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8
Q

Two tail hypothesis testing

A

look at a table, locate the value asked. P value = multiply the value found by 2. Find value then multiply by 2

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9
Q

Unit of analysis

A

of observations, rows - 1 (variable name is not an observation). focus On what data is actually about

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10
Q

of variables

A

columns

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11
Q

value

A

singular cell

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12
Q

Ho

A

null, no impact

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13
Q

Ha

A

alternative

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14
Q

categorical

A

(nominal, ordinal)

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15
Q

continuous

A

can put it on a number line, first year, second year, etc

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16
Q

ordinal

A

associate degree, bachelor degree, masters, etc

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17
Q

Nominal

A

race, ethnicities, eye color

18
Q

Binary variable

A

dummy variable, only 2 values, 1 or 2, true or false, yes or no

19
Q

Casual relationship

A

correlation between 2 variables, x causes y

20
Q

association

A

there is a relationship between x and y but one does not cause the other

21
Q

Population

A

everybody (every first gen student in US)

22
Q

Sample

A

one specific group (first gen students at OU, should be representative of population)

23
Q

Simple random sample

A

every case / person has an equal chance of being selected. No reason why someone is selected. Draw from a raffle to select them into simple random sample

24
Q

Normal distribution

A

one wave graph

25
Bimodal
two peaks
26
Multimodal
more than 2 peaks
27
right/left skewed
skewed to where the data is drifting off, opposite of where the hump is
28
Standard deviation
distance between one observation and sample mean. One student had a score of 95, one had 88, and the mean is 90. SD of student one is 5, two is 2
29
Standard error
random samples from population, mean distance between one samples mean and another samples mean. Focused on multiple samples
30
Law of large numbers
as more samples are collected, eventually proportion will equal probability.
31
Probability
finding likelihood of something happening
32
Box plot
has interquartile range, median, etc. shows lots of statistics at once.
33
n
sample size
34
P-hat
estimated value of p, also point estimate value
35
p
proportion
36
Confidence intervals (CI)
represents a range of values. More likely for values to be included, more likely to capture population parameter
37
P value
0.05, 95%
38
Success failure condition
what we use to estimate if a sample size is big enough. Equation has to equal at least 10. Sample size you want = at least 30 observations
39
Independence
two events are independent of each other.
40
Summary / descriptive statistics
report things like mean, median, mode. Tells us something about our sample.
41
Outliers
distant value / observation
42