SMRM Flashcards

1
Q

1/8

A

0.125

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2
Q

sqrt(1)

A

1

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3
Q

sqrt(2)

A

1.41

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4
Q

sqrt(3)

A

1.73

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5
Q

sqrt(4)

A

2

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6
Q

sqrt(5)

A

2.24

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7
Q

sqrt(6)

A

2.45

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8
Q

sqrt(7)

A

2.67

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9
Q

sqrt(8)

A

2.83

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10
Q

sqrt(9)

A

3

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11
Q

sqrt(10)

A

3.16

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12
Q

sqrt(11)

A

3.32

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13
Q

sqrt(12)

A

3.46

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14
Q

sqrt(13)

A

3.61

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15
Q

sqrt(14)

A

3.74

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16
Q

sqrt(15)

A

3.87

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17
Q

deci

A

10^-1

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18
Q

centi

A

10^-2

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19
Q

milli

A

10^-3

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20
Q

micro

A

10^-6

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21
Q

nano

A

10^-9

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22
Q

pico

A

10^-12

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23
Q

femto

A

10^-15

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24
Q

deca

A

10^1

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25
hecto
10^2
26
kilo
10^3
27
mega
10^6
28
giga
10^9
29
tetra
four measures
30
sin(0)
0
31
sin(30)
1/2
32
sin(45)
sqrt(2)/2
33
sin(60)
sqrt(3)/2
34
sin(90)
1
35
cos(0)
1
36
cos(30)
sqrt(3)/2
37
cos(45)
sqrt(2)/2
38
cos(60)
1/2
39
cos(90)
0
40
cosecant
1/sin
41
secant
1/cosine
42
cotan
1/tan
43
tangent
sin/cos
44
pi radians
180 degrees
45
distance
x=(1/2)at^2
46
Force
F=Gmm/r^2 | F=ma
47
velocity
v=sqrt(2gh)
48
ideal gas
PV=nRT
49
selection bias
method is not random, results are not representative
50
types of selection bias
``` specific real area self-selection pre-screening exclusion healthy user Berkson's fallacy overmatching survivorship ```
51
specific real area
neglecting a subset of the population that is not present
52
self-selection
decision whether to participate
53
pre-screening
choosing a subset to prove a hypothesis
54
exclusion
keeping a subset out of the population
55
healthy user
subset better off than the general population
56
Berkson's fallacy
subset less healthy than general population (hospital)
57
overmatching
correlation of data with a confounder as a result of exposure
58
survivorship
only the remaining subjects are selected, neglecting those not left anymore
59
observer bias
subject knows the goals and/or hypotheses of the study
60
demand characteristics
formed interpretation of the purpose of the study
61
information bias (two types)
wrong or inexact recording of variables measurement error: involves a continuous variable misclassification: categorical variable
62
confounding variable
extraneous variable that influences the study variable | placebo effect: pt with a blank treatment experiences health benefits
63
detection bias
systematic differences between groups in terms of treatment (doctor cares better for a test subject)
64
experimenter bias (two types)
errors based on expectations confirmation bias: more likely to favor information that confirms the hypothesis and to ignore information that denies the hypothesis reporting bias: systematic difference in what information is reported
65
accuracy
the degree to which a measurement conforms to the standard "correct" value systematic error
66
precision
relates to the reproducibility or repeatability of the results random error
67
reliability (two types)
results that are consistent and repeatable test-retest: test results are consistent over time inter-rater: degree of consensus among judges
68
validity (two types)
test what it is meant to measure and is done under scientific standards external: generalizable, extrapolation internal: justifiable
69
correlation
r^2 | amount of variance in y that is accounted for by x
70
causation
one thing is found to be both necessary and sufficient to cause another VERY DIFFICULT TO PROVE
71
Hill's criteria (9)
``` temporality strength consistency testable specificity plausibility dose-response relationship coherence analogy ```
72
normal distribution
1SD: 68% 2SD: 95% 3SD: 99%
73
probability
assumes outcomes are independent and mutually exclusive AND: multiply OR: add
74
directional hypothesis testing
p>alpha, cannot reject Ho
75
non-directional hypothesis testing
p>alpha/2, cannot reject Ho
76
standard error of mean (SEM)
how precisely the mean represents the true population mean | decreases with increasing population size
77
type I error
claimed different when none existed
78
type II error
no claimed difference when one existed
79
how do you deal with percentages in proportionality
convert to fractions
80
distance
d=rt
81
how is the density of air related to elevation?
density decreases with height
82
is a bird a mammal
no
83
how does a linear relationship change on a semilog plot
it becomes non-linear