Ew Flashcards

(49 cards)

0
Q

Explanatory variable

A

The cause of an experiment

Ex: vision

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1
Q

Census

A

Taking a poll of the entire population

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2
Q

Response variable

A

The effect of an experiment

Ex: a students grade

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3
Q

Confounded variable

A

An alternate explanatory variable

Ex: studying

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4
Q

Control group

A

The group that gets the placebo to compare to the other group

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5
Q

Factor

A

The explanatory variables in an experiment

Ex: diet, exercise, genetics

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6
Q

Levels

A

Different values of the exercise

Ex: 2000 calories, 4000 calories

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7
Q

Treatment

A

All combinations of the levels of the factors

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8
Q

Block design

A

Separate the individuals in similar blocks but each block is different

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9
Q

Voluntary response bias

A

People choose to respond to a survey

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10
Q

Convenience sampling

A

Choose individuals easiest to reach

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11
Q

Undercoverage

A

When some groups in the population are left out in the process of choosing a sample

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12
Q

Nonresponse bias

A

When an individual chosen for the sample cannot be contacted or refuses to cooperate

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13
Q

Response bias

A

Behavior of the respondent or interviewer that results in no truthful answers

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14
Q

Stratified random sample

A

Divide the population into groups of similar individuals, then choose an Drs of each group and combine them

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15
Q

Simple random sample(srs)

A

Every set of individuals has the same chance of being selected

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16
Q

Systematic sample

A

Choose every nth person from the population

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17
Q

Size bias

A

Dart on a map, it’s more likely to hit the larger states

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18
Q

Double blind experiment

A

The subjects nor the administrators of the treatment know what they are receiving

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19
Q

Observational study

A

Does not disturb what you are examining

20
Q

Experiment

A

Treatment imposed, cause and effect

21
Q

What good experiments do

A
  • incorporate control to see the impact of the explanatory variable
  • incorporate randomization to reduce bias
  • incorporate replication to avoid the chance of variance
22
Q

Degrees of freedom

23
Q

Quantities variables

24
Categorical variables
Words (use pie and bar graphs)
25
Interpreting r
There is a fairly strong positive relationship between x and y
26
Bimodal(approximately)
Two high bars
27
Interpret slope
On average, y increases by b for every increase in 1x
28
Interpret y-intercept
When x=0 y is predicted to equal ____
29
Linear model equation
Ÿ=a+bx
30
Exponential equation
Log ÿ= a+bx
31
Power model equation
Log ÿ=a+b(log x) or | Ÿ=10^a • x^b
32
Sample space
All possible outcomes
33
Binomial distributions
- each part has the same probability - they are all independent from each other - only 2 outcomes, success or failure - fixed # of observations
34
R^2
The fraction of the variation in values of y that is explained by the least squares regression
35
Extrapolation
When LRSL is used to make a prediction outside of the domain of x
36
Common response
A change in z cause a Change in x and y
37
Causation
Cause and effect, x effects y
38
Confounding
X and z influence y
39
Simpson's paradox
The reversal in trends when data from several groups is combined to form a single group
40
Gamblers fallacy
The belief that if something happens more frequently than normal it will happen less in the future
41
Fair game
The outcome equals the money put in
42
Law of large #s
As the # of observations increases the sample mean gets closer to the population mean
43
Multiplication principle
If task 1 can be done in a ways, and task 2 can be done in b ways, then both tasks can be done in a•b ways
44
Mode
that occurs most often
45
Central limit theorem
When n is large the sampling distribution of x is approximately normal
46
Parameter
Population
47
Statistic
Sample
48
Unbias
Centralized around the true mean