Module 1: Intro to Data Flashcards

1
Q

data

A

collection of observations

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2
Q

statistics

A

study of how to best collect, analyze, and draw conclusions from data

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3
Q

data matrix

A

convenient common way to organize data (chart)

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4
Q

how many types of variables are there?

A

2: numerical and categorical

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5
Q

numerical

A

a number that can have calculations done with it

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6
Q

what are the 2 types of numerical variables

A

continuous and discrete

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7
Q

continuous

A

any numerical value (fractions and decimals)

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8
Q

discrete

A

integers only (can count)

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9
Q

categorial

A

set list of options/categories; can be words or numbers

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10
Q

what are the 2 types of categorial variables

A

nominal and ordinal

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11
Q

nominal

A

unordered; one is not less or more than another

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12
Q

ordinal

A

ordered

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13
Q

associated (dependent) variables

A

when 2 variables show some connection w/ one another; can be positive or negative

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14
Q

independent variables

A

when there is no evident connection between 2 variables

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15
Q

explanatory variable _________ response variable (correlation vs causation)

A

might affect

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16
Q

T or F: an explanatory and response variable means that the relationship between the 2 is casual

A

false; labelling 2 variables as such does not guarantee that the relationship between them are casual

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17
Q

observational studies

A

collect data w/o interfering w/ how data arises (ex. surveys); cannot establish causation

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18
Q

experiments

A

researchers randomly assign participants to various treatments to establish casual connections between explanatory and response variables

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19
Q

prospective study

A

individuals are identified and information is collected as events unfold

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20
Q

retrospective study

A

data is collected after events have taken place

21
Q

research questions refer to a ___ ___

A

target population

22
Q

sample

A

represents a subset of the cases

23
Q

census

A

sample of the entire population; complex

24
Q

anecdotal evidence

A

data collected in a haphazard fashion that represents only one or 2 cases; may be true, but may only represent extraordinary cases

25
3 types of sampling bias
non-response, voluntary response, and convenience sampling
26
non-response
if only a small fraction of the randomly sampled ppl choose to respond to a survey, the sample may NO longer be representative of the population
27
voluntary response
when the sample consists of people who volunteer to respond b/c they have strong opinions on the issue; NOT representative of the population
28
convenience sample
individuals who are easily accessible are more likely to be included in the sample
29
biased
unfairly prejudiced for or against something
30
exploratory analysis
when you analyze results from a sample
31
inference
when you generalize based on the results for the sample to infer something abt the population
32
good statistical methods are based on the notion of ______ _______
implied randomness
33
T or F: if observational data is not collected in a random framework from a population, it is NOT reliable
true
34
4 common random sampling techniques
simple, stratified, cluster, and multistage sampling
35
simple random sampling
randomly selected cases from the population; no implied connection between the points that are selected
36
stratified sample
strata are made up of similar observations; simple random sample in taken from EACH stratum
37
cluster sample
clusters are not made up of alike observations; we take a simple random sample of clusters, and then sample all observations in that cluster
38
multistage sample
take a simple random sample of clusters, and then take a simple random sample of observations from the sampled clusters
39
when a researchers assignment is randomized it is a ____ ____
randomized experiment
40
randomized experiments are critical for _____ ______
showing causality
41
4 principles of experimental design
control, randomize, replicate, and block
42
factors are ___________
conditions we can impose on the experimental units
43
blocking variables
characteristics that the experimental units come with (we want to control them)
44
blocking is like _________
stratifying (except used in experimental settings when randomly assigning
45
placebo
fake treatment (often used as the control group)
46
placebo effect
experimental units showing improvement simply b/c they believe they are receiving a special treatment
47
blinding
when experimental units don't know whether they are in the control or treatment group
48
double-blind
both the experimental units and researchers who interact w/ the patients don't know who is in the control or treatment group