Chapter 1 Flashcards

1
Q

Observation

A
  • first step in scientific method
  • observe, describe, and measure some event in nature
  • based in measurements called data

example:
A silver tray turns a dull gray color when left uncovered

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2
Q

Hypothesis

A
  • possible interpretation of observations
  • must be stated in a way that is tested by experiments

example:
Ice cubes has a greater volume than the liquid from which they were formed because the water molecules are farther apart in the ice structure than in the liquid structure.

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3
Q

Law

A
  • summary of related observations
  • statement that generalizes a body of observations or facts but does not provide an explanation why things happen the way they are

example:
The volume of a gas is directly proportional to its pressure.
Energy may be converted from one form to another, but the total quantity of energy remains constant.

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4
Q

Theory

A
  • explanation of observations/ provides underlying reasons for observations
  • well-tested, unifying principle explaining body of facts and laws based on them

example:
A gas is composed of small particles in constant motion.

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5
Q

Rules for Writing in Scientific Notation

A
- moving left = positive exponent
example:
93,000,000 = 9.3 × 10^7
- moving right = negative exponent
example:
.00005114 = 5.114  × 10^−5
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6
Q

Metric System

A
  • > length: meter (m)
  • > volume: liter (L)
  • > mass: gram (g)
  • > temperature: degree Celsius (°C)
  • > time: second
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7
Q

System International (SI) Units

A
  • > length: meter (m)
  • > volume: cubic meter (m^3)
  • > mass: kilogram (kg)
  • > temperature: kelvin (K)
  • > time: second (s)
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8
Q

Metric Conversion Chart

A

Tm (10^12) -> Gm (10^9) -> Mm (10^6) -> km (10^3) -> m(base unit) -> dm (10^-1) -> cm (10^-2) -> mm (10^-3) -> μm (10^-6) -> nm (10^-9) -> pm (10^-12)

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9
Q

Important Conversions/ Formulas

A
1ml = 1cm^3
D = m ÷ v
°F = 1.8(°C) + 32
°C = (°F -32) ÷ 1.8
K = °C +273
°C = K - 273
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10
Q

Mass

A
  • measure of the quantity of material it contains
    -measure of the quantity of matter
  • independent of acceleration of gravity
    -measured on balance “kg”
    measured by comparison to a known mass which does not depend on gravitational pull
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11
Q

Weight

A
  • has meaning only when an object having a specific mass is placed in an acceleration field like gravitational field of the earth
  • depends upon acceleration of gravity
  • W = mg “Newton”
  • measured on scale
    measured by the movement it causes in a spring which depends on the gravitational pull
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12
Q

Density

A
  • mass per unit volume (D = m ÷ v)
  • larger mass substance relative to volume, denser and heavier the object
  • varies according to change in temperature
  • physical property of matter
  • Describes how its particles are packed together (tighter particles, higher density)
  • In general, temperature increases, motion particles increase, volume expansion (since mass constant at all temperatures, density decreases at increasing temperature)
  • most substances become denser when colder BUT when water reaches its max density at 4°C, expands and becomes less dense
  • Temperature increases, volume expands and becomes larger, causing decrease density
  • Temperature drops, volume contracts and becomes smaller, increase density
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13
Q

States of Matter

A
  • classified by physical states: solid, liquid, gas
  • solid: definite shape, definite volume
  • liquid: definite volume, no definite shape
  • gas: no definite shape and volume; highly compressible
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14
Q

Physical Properties

A
  • observable and measured characteristics without changing composition of substance

examples:
color, state of matter, melting point, boiling point, density, solubility, electric conductivity, heat conductivity, malleability, ductility, viscosity, hardness, odor, taste

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15
Q

Chemical Properties

A
  • observable and measured characteristics where one or more substances/ reactants are transformed into one or more different substances/products
  • molecular identity no longer remains the same

examples:
flammability, acidity, volatility, corrosiveness, electronegativity

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16
Q

Extensive Properties

A
  • properties that depend on the amount of substance present

example:
mass, volume

17
Q

Intensive Properties

A
  • properties that DO NOT depend on the amount of the substance

example:
melting point, density

18
Q

Pure Substance

A

Pure Element: consists of single type of atom like Au and Pt

OR

Pure compound: consists of two or more different elements that are chemically combined like water and table sugar (C12H22O11)

  • because chemically combined, CANNOT be separated from one another by physical process; only chemical processes like electrolysis
19
Q

Mixture

A
  • combination of two or more pure substances that are physically mixed together BUT do not chemically react together to form new substances
  • each substance retains its original properties
  • NOT chemically combined, so can be separated by physical processes like filtration
20
Q

Homogenous Mixture

A
  • aka solution
  • two or more substances mixed together in the same phase
  • uniformly dispersed throughout each other even down to the molecular level

examples:
IV saline solution, bronze vase with mixture copper and tin

21
Q

Heterogenous Mixture

A
  • does NOT have uniform composition throughout sample
  • uneven texture often detected

examples: blood (consists red blood cells and white blood cells on microscopic level), granite (contains different minerals)

22
Q

Compound vs. Mixture of Elements

A
  • compound = combination of two or more elements held together by chemical bonds
  • mixture = two or more elements physically mixed together BUT not chemically combined

compounds have two major differences from mixture of elements:

*distinctly different characteristics from their parent elements + have definite percentage composition by mass of their combining elements

23
Q

Precision

A
  • how close together a group of measurements are to each other
  • degree of reproducibility
  • determined with multiple measurements
  • use AVERAGE DEVIATION, SAMPLE STANDARD DEVIATION, AND STANDARD DEVIATION to calculate precision of data
24
Q

Accuracy

A
  • refers to how close measured value is to the true or accepted value
  • degree of veracity
  • determined by one measurement
  • use PERCENT ERROR and AVERAGE to calculate accuracy of data
25
Q

Percent Error

A
  • measure of accuracy
  • how close measured/experimental value is to true/accepted value

EQUATION:
Error = measured value - true value
Percent error = ( I Measured Value - True Value I ÷ True Value ) × 100

26
Q

Average Deviation

A
  • smaller average deviation, more closely clustered data point are (higher precision)

EQUATION:
( Σ I individual value - average value I ) ÷ n

n = total number of data points

27
Q

Q Test

A
  • allows us to examine ONE observation from a small set of replicate observations (typically 3-10) can be “legitimately” rejected or not
    -TEST CAN ONLY BE USED ONCE
    Steps:
    1. N values (set observations) are arranged in ascending order/ least to greatest
    2. statistical experimental Q-value (Q exp) is calculated. (Q stands for rejection quotient)
    -> Q ratio defined a s difference of suspect outlier value from its nearest neighbor value divided by range of values. Thus, for testing X 1 or X n (like largest or smallest values as possible outliers) use following Q exp valuesL
    Q exp = (X 2 - X 1) ÷ (X n - X 1)
    Q exp = (X n - X n-1) ÷ (X n - X 1)
  • Q = gap ÷ range
    3. Obtained Q exp value compared with critical Q value (Q crit) found in tables. Critical value corresponds to confidence level (CL)
    4. Q exp > Q crit -> suspect value can be characterized as outlier and it can be REJECTED
    Q exp < Q crit -> suspect value must be RETAINED and used in all subsequent calculations
28
Q

Standard Deviation

A
  • indicates how tightly all data points are clustered around the mean in a set of data
  • data points bunched together and bell-shaped cure is steep, sd small
  • data points spread apart and bell curve is relatively flat, sd large
  • data points are all equal, sd = 0
  • 1 sd (-1σ -> +1σ) accounts for 68.2% from mean
  • 2 sd (-2σ -> +2σ) accounts for 95.4% from mean
  • 3 sd (-3σ -> +3σ) accounts for 99.7% from mean

EQUATION:
σ = √[Σ (individual value - mean value)^2] ÷ (n-1)