PHYSICS MT1 Flashcards

(100 cards)

1
Q

interaction of matter force and energy

A

PHYSICS

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2
Q

solid, liquid or gas

A

MATTER

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3
Q

push or pull

A

FORCE

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4
Q

capcity to do work

A

ENERGY

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5
Q

two branches of physics

A

CLASSICAL
MODERN

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6
Q

before the beginning of 20th century

A

CLASSICAL

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7
Q

during the beginning of 20th century

A

MODERN

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8
Q

under classic (5)

A

MECHANICS
HEAT AND THERMODYNAMICS
OPTICS
ELECTRICITY AND MAGNETISM
ACOUSTICS

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9
Q

under modern ( 5)

A

NUCLEAR
SPECIAL RELATIVITY
GENERAL RELATIVITY
PARTICLE PHYSICS
QUANTUM

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10
Q

deals with motion force work and energy

A

MECHANICS

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11
Q

deals with the effects of heat when added to or removed from system

A

HEAT AND THERMODYNAMICSde

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12
Q

deals with the study of light

A

OPTICS

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13
Q

phenomenona associated wigth electrical changes magentism and its relationship

A

ELECTRICITY AND MAGNETISM

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14
Q

three example of heat transfer

A

CONDUCTION
CONVECTION
RADIATION

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15
Q

heat transfers to your hands as ypu hold the coffee cup

A

CONDUCTION

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16
Q

heat transfers as the barista steams cold milk to make hot cocoa

A

CONVECTION

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17
Q

reheating old cuo of coffee in ksicorwave

A

RADIATION

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18
Q

deals with properties transmission and perception of different tyoes of waves

A

ACOUSTICS

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19
Q

deals a properties reaction within atomic nucleus

A

NUCLEAR PHYSICS

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20
Q

associated when objects moves with speed

A

SPECIAL RELATIVITY

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21
Q

how mayter causes space-time and how the curvature of it dictate the trajectory of matter/light

A

GENERAL RELATIVITY

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22
Q

whatever goes up goes down

A

GRAVITY

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23
Q

building blocks of matter

A

PARTICLE PHYSICS

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24
Q

nature or behavior of matter and energy on the atomic and subatomic levels

A

QUANTUM MECHANICS

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25
detecting smoke in our house
NUCLEAR PHYSICS
26
telescopes , cameras
OPTICS
27
gps
SPECIAL RELATIVITY
28
focuses on gravity
GENERAL RELATIVITY
29
a grain of sand
PARTICLE PL\HYSICS
30
lasers / ELECTRON MICROSCOPES
QUANTUM MECHANICS
31
the process of comparing something with a standard
MEASUREMENT
32
informal system of measurement
HANDSPAN CUBIT ARMSPAN FACE FOOTSPAN
33
international unit
METRIC SYSTEM
34
basic unit of metric system
METER KILOGRAM SECOND CENTIMETER GRAM SECONDmk
35
conversion ratio
ENGLISH SYSTEM
36
english system basic unit
FOOT POUND SECONDS
37
modern form of metric system
SI UNITS
38
more precise and definite standard
SI UNITS
39
two types of physical quantities
FUNDAMENTAL DERIVED
40
base unit of length
METER m
41
base unit of mass
KILOGRAMS Kg
42
BASE UNIT of time
SECONDS s
43
BASIC UNIT OF ELECTRIC
AMPERE (a)
44
BASE UNIT OF TEMperature
KELVIN Ko
45
how many is kelvin
273
46
base unit of substance
MOL (mol)
47
BASE UNIT OF INTENSITY
candela (cd)
48
COMBINATION OF fq
DERIVED QUANTITIES
49
distance trabvelled
M/S
50
accelaeration
M/S2
51
gravity acceleration
9.8
52
density
KG/M3
53
work
J . M
54
for simplifying very large amounts
SCIENTIFIC NOTATIONS
55
simplest way to convert one unit to another
UNIT CONVERSION
56
always equal to one
CONVERTION RATIO
57
used to denote decimal multiples and submultiples of the si units
SI PREFIXES
58
the measure of mass , the amount of matter
GRAM
59
the masure of legth
METER
60
the measur efor volu Me
LITER
61
the most valuabe tool that physical s cientists use
DIMENTIONAL ANALYSIS
62
always have a degree of u certainty because of unavoidable error
MEASUREMENTS
63
deviation of a measured value from the expected or true value
ERROR
64
way of expressing error
UNCERTAINTY
65
measured value true plus uncertainty
EQUATION
66
refers to the closeness of measured value to the expected or true value of a physical quantity
ACCURACY
67
represents how close or consistent the independent measurement of the same quantity are to one another
PRECISION
68
how far/close to the target
ACCURACY
69
frequency of same results over time
PRECISION
70
result from unpredictable or inevitable changes during data measurement
RANDOM ERROR
71
how can be errors reduced?
INCREASED NUMBER OF TRIALS AVERAGING OUT RESULTS
72
calculated when there is an unexpected or true value of a quanitty
PERCENT ERROR
73
percent error formula
VA - VE OVER VE TIMES 100
74
approximate measured value
VA
75
exact value
VE
76
measure how far apart the different measured values are from each other and is therefore indication of a measurement
PERCENT DIFFERENCE
77
percent difference formula
X1-X2 OVER X1 + X2 DIVIDED BY 2 TIMES 100
78
range within which the value of a measured quantity is expected to lie
UNCERTAINTY
79
deviation as thre measured value from the true value can be classified as
ERROR
80
consistent and repeated errors cause by faulty in instruments or experimental set up
SYSTEMATIC ERROR
81
unpreditacble fructuations in measurements due to uncontrollable variables
RANDOM ERROR
82
uncertainty of a measurement expressed un the same units as the quality measurements
ABSOLUTE UNCERTAINTY
83
ratio of the absolute uncertainty to the measured value
RELATIVE UNCERTAINTY
84
measuring devices have finite precision, which introduces uncertainty
INSTRUMENTAL LIMITATIONS
85
inconsistencis in reading instruments or recording data can lead to random errors
HUMAN ERROR
86
variations in temperature , pressure or humidity
ENVIRONMENTAL FACTOR
87
assumptions made in setting up an experiment can introduce systematic errors
ASSUMPTION IN EXPERIMENTAL DESIGN
88
3 ways to minimize errors
CALIBRATION REPETITION CONTROL OF VARIABLES
89
regularly calibrating instruments can reduce synththic error
CALIBRATION
90
repeating measurement and taking average can mitigate the impact of errors
REPETITION
91
keeping external variables constant during an experiment helps minimize environmental impact
CONTROL OF VARIABLES
92
measured the squared deviation of each number in the set from the mean
VARIANCE
93
average data set
MEAN
94
square root of the bvariance
STANDARD DEVIATION
95
measures how diverse or spread out the measurements from their average
STANDARD DEVIATION
96
most of the measurements are close to their average
SMALL SD
97
means that the measurement are very diverse
LARGE SD
98
equation of mean
ENi = 1Xi OVER N
99
equation of variance
(Xi - mean) ^2 / N
100
EQUATION OF SD
square root of variance