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
Q

Bimodal

A

two peaks

26
Q

Multimodal

A

more than 2 peaks

27
Q

right/left skewed

A

skewed to where the data is drifting off, opposite of where the hump is

28
Q

Standard deviation

A

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
Q

Standard error

A

random samples from population, mean distance between one samples mean and another samples mean. Focused on multiple samples

30
Q

Law of large numbers

A

as more samples are collected, eventually proportion will equal probability.

31
Q

Probability

A

finding likelihood of something happening

32
Q

Box plot

A

has interquartile range, median, etc. shows lots of statistics at once.

33
Q

n

A

sample size

34
Q

P-hat

A

estimated value of p, also point estimate value

35
Q

p

A

proportion

36
Q

Confidence intervals (CI)

A

represents a range of values. More likely for values to be included, more likely to capture population parameter

37
Q

P value

A

0.05, 95%

38
Q

Success failure condition

A

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
Q

Independence

A

two events are independent of each other.

40
Q

Summary / descriptive statistics

A

report things like mean, median, mode. Tells us something about our sample.

41
Q

Outliers

A

distant value / observation

42
Q
A