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Chapter 2: Analyzing DataChapter 2: Analyzing Data
CHEMISTRY Matter and Change
Section 2.1 Units and Measurements
Section 2.2 Scientific Notation and Dimensional Analysis
Section 2.3 Uncertainty in Data
Section 2.4 Representing Data
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CHAPTER
2 Table Of Contents
• Define SI base units for time, length, mass, and temperature.
mass: a measurement that reflects the amount of matter an object contains
• Explain how adding a prefix changes a unit.
• Compare the derived units for volume and density.
SECTION2.1
Units and Measurements
base unit
second
meter
kilogram
Chemists use an internationally recognized system of units to communicate their findings.
kelvin
derived unit
liter
density
SECTION2.1
Units and Measurements
• Système Internationale d'Unités (SI) is an internationally agreed upon system of measurements.
• A base unit is a defined unit in a system of measurement that is based on an object or event in the physical world, and is independent of other units.
SECTION2.1
Units and Measurements
Units
SECTION2.1
Units and MeasurementsSECTION2.1
Units and Measurements
Units (cont.)
SECTION2.1
Units and Measurements
Units (cont.)
• The SI base unit of time is the second (s), based on the frequency of radiation given off by a cesium-133 atom.
• The SI base unit for length is the meter (m), the distance light travels in a vacuum in 1/299,792,458th of a second.
• The SI base unit of mass is the kilogram (kg), about 2.2 pounds
SECTION2.1
Units and Measurements
Units (cont.)
• The SI base unit of temperature is the kelvin (K).
• Zero kelvin is the point where there is virtually no particle motion or kinetic energy, also known as absolute zero.
• Two other temperature scales are Celsius and Fahrenheit.
SECTION2.1
Units and Measurements
Units (cont.)
• Not all quantities can be measured with SI base units.
• A unit that is defined by a combination of base units is called a derived unit.
SECTION2.1
Units and Measurements
Derived Units
• Volume is measured in cubic meters (m3), but this is very large. A more convenient measure is the liter, or one cubic decimeter (dm3).
SECTION2.1
Units and Measurements
Derived Units (cont.)
• Density is a derived unit, g/cm3, the amount of mass per unit volume.
• The density equation is density = mass/volume.
SECTION2.1
Units and Measurements
Derived Units (cont.)
Which of the following is a derived unit?
A. yard
B. second
C. liter
D. kilogram
Section CheckSECTION2.1
What is the relationship between mass and volume called?
A. density
B. space
C. matter
D. weight
Section CheckSECTION2.1
• Express numbers in scientific notation.
quantitative data: numerical information describing how much, how little, how big, how tall, how fast, and so on
• Convert between units using dimensional analysis.
SECTION2.2
Scientific Notation and Dimensional Analysis
scientific notation
dimensional analysis
conversion factor
Scientists often express numbers in scientific notation and solve problems using dimensional analysis.
SECTION2.2
Scientific Notation and Dimensional Analysis
• Scientific notation can be used to express any number as a number between 1 and 10 (known as the coefficient) multiplied by 10 raised to a power (known as the exponent).
–Carbon atoms in the Hope Diamond = 4.6 x 1023
–4.6 is the coefficient and 23 is the exponent.
SECTION2.2
Scientific Notation and Dimensional Analysis
Scientific Notation
800 = 8.0 102
0.0000343 = 3.43 10–5
• The number of places moved equals the value of the exponent.
• The exponent is positive when the decimal moves to the left and negative when the decimal moves to the right.
• Count the number of places the decimal point must be moved to give a coefficient between 1 and 10.
SECTION2.2
Scientific Notation and Dimensional Analysis
Scientific Notation (cont.)
• Addition and subtraction– Exponents must be the same.
– Rewrite values to make exponents the same.
–Ex. 2.840 x 1018 + 3.60 x 1017, you must rewrite one of these numbers so their exponents are the same. Remember that moving the decimal to the right or left changes the exponent.
2.840 x 1018 + 0.360 x 1018
– Add or subtract coefficients.
–Ex. 2.840 x 1018 + 0.360 x 1017 = 3.2 x 1018
SECTION2.2
Scientific Notation and Dimensional Analysis
Scientific Notation (cont.)
• Multiplication and division– To multiply, multiply the coefficients, then add the
exponents.
Ex. (4.6 x 1023)(2 x 10-23) = 9.2 x 100
– To divide, divide the coefficients, then subtract the exponent of the divisor from the exponent of the dividend.
Ex. (9 x 107) ÷ (3 x 10-3) = 3 x 1010
Note: Any number raised to a power of 0 is equal to 1: thus, 9.2 x 100 is equal to 9.2.
SECTION2.2
Scientific Notation and Dimensional Analysis
Scientific Notation (cont.)
• Dimensional analysis is a systematic approach to problem solving that uses conversion factors to move, or convert, from one unit to another.
• A conversion factor is a ratio of equivalent values having different units.
SECTION2.2
Scientific Notation and Dimensional Analysis
Dimensional Analysis
• Writing conversion factors
– Conversion factors are derived from equality relationships, such as 1 dozen eggs = 12 eggs.
– Percentages can also be used as conversion factors. They relate the number of parts of one component to 100 total parts.
SECTION2.2
Scientific Notation and Dimensional Analysis
Dimensional Analysis (cont.)
• Using conversion factors
– A conversion factor must cancel one unit and introduce a new one.
SECTION2.2
Scientific Notation and Dimensional Analysis
Dimensional Analysis (cont.)
What is a systematic approach to problem solving that converts from one unit to another?
A. conversion ratio
B. conversion factor
C. scientific notation
D. dimensional analysis
SECTION2.2
Section Check
Which of the following expresses 9,640,000 in the correct scientific notation?
A. 9.64 104
B. 9.64 105
C. 9.64 × 106
D. 9.64 610
SECTION2.2
Section Check
• Define and compare accuracy and precision.
experiment: a set of controlled observations that test a hypothesis
• Describe the accuracy of experimental data using error and percent error.
• Apply rules for significant figures to express uncertainty in measured and calculated values.
SECTION2.3
Uncertainty in Data
accuracy
precision
error
Measurements contain uncertainties that affect how a result is presented.
percent error
significant figures
SECTION2.3
Uncertainty in Data
• Accuracy refers to how close a measured value is to an accepted value.
• Precision refers to how close a series of measurements are to one another.
SECTION2.3
Uncertainty in Data
Accuracy and Precision
• Error is defined as the difference between an experimental value and an accepted value.
SECTION2.3
Uncertainty in Data
Accuracy and Precision (cont.)
• The error equation is error = experimental value – accepted value.
• Percent error expresses error as a percentage of the accepted value.
SECTION2.3
Uncertainty in Data
Accuracy and Precision (cont.)
• Often, precision is limited by the tools available.
• Significant figures include all known digits plus one estimated digit.
SECTION2.3
Uncertainty in Data
Significant Figures
• Rules for significant figures– Rule 1: Nonzero numbers are always significant.
– Rule 2: Zeros between nonzero numbers are always significant.
– Rule 3: All final zeros to the right of the decimal are significant.
– Rule 4: Placeholder zeros are not significant. To remove placeholder zeros, rewrite the number in scientific notation.
– Rule 5: Counting numbers and defined constants have an infinite number of significant figures.
SECTION2.3
Uncertainty in Data
Significant Figures (cont.)
• Calculators are not aware of significant figures.
• Answers should not have more significant figures than the original data with the fewest figures, and should be rounded.
SECTION2.3
Uncertainty in Data
Rounding Numbers
• Rules for rounding
– Rule 1: If the digit to the right of the last significant figure is less than 5, do not change the last significant figure.
– Rule 2: If the digit to the right of the last significant figure is greater than 5, round up the last significant figure.
– Rule 3: If the digits to the right of the last significant figure are a 5 followed by a nonzero digit, round up the last significant figure.
SECTION2.3
Uncertainty in Data
Rounding Numbers (cont.)
• Rules for rounding (cont.)
– Rule 4: If the digits to the right of the last significant figure are a 5 followed by a 0 or no other number at all, look at the last significant figure. If it is odd, round it up; if it is even, do not round up.
SECTION2.3
Uncertainty in Data
Rounding Numbers (cont.)
• Addition and subtraction
– Round the answer to the same number of decimal places as the original measurement with the fewest decimal places.
• Multiplication and division
– Round the answer to the same number of significant figures as the original measurement with the fewest significant figures.
SECTION2.3
Uncertainty in Data
Rounding Numbers (cont.)
Determine the number of significant figures in the following: 8,200, 723.0, and 0.01.
A. 4, 4, and 3
B. 4, 3, and 3
C. 2, 3, and 1
D. 2, 4, and 1
SECTION2.3
Section Check
A substance has an accepted density of 2.00 g/L. You measured the density as 1.80 g/L. What is the percent error?
A. 20%
B. –20%
C. 10%
D. 90%
SECTION2.3
Section Check
• Create graphics to reveal patterns in data.
independent variable: the variable that is changed during an experiment
graph
• Interpret graphs.
Graphs visually depict data, making it easier to see patterns and trends.
SECTION2.4
Representing Data
• A graph is a visual display of data that makes trends easier to see than in a table.
SECTION2.4
Representing Data
Graphing
• A circle graph, or pie chart, has wedges that visually represent percentages of a fixed whole.
SECTION2.4
Representing Data
Graphing (cont.)
SECTION2.4
Representing Data
Graphing (cont.)
• Bar graphs are often used to show how a quantity varies across categories.
• On line graphs, independent variables are plotted on the x-axis and dependent variables are plotted on the y-axis.
SECTION2.4
Representing Data
Graphing (cont.)
• If a line through the points is straight, the relationship is linear and can be analyzed further by examining the slope.
SECTION2.4
Representing Data
Graphing (cont.)
• Interpolation is reading and estimating values falling between points on the graph.
• Extrapolation is estimating values outside the points by extending the line.
SECTION2.4
Representing Data
Interpreting Graphs
• This graph shows important ozone measurements and helps the viewer visualize a trend from two different time periods.
SECTION2.4
Representing Data
Interpreting Graphs (cont.)
____ variables are plotted on the____-axis in a line graph.
A. independent, x
B. independent, y
C. dependent, x
D. dependent, z
Section CheckSECTION2.4
What kind of graph shows how quantities vary across categories?
A. pie charts
B. line graphs
C. Venn diagrams
D. bar graphs
Section CheckSECTION2.4
Chemistry Online
Study Guide
Chapter Assessment
Standardized Test Practice
CHAPTER
2 Analyzing Data
Resources
Key Concepts• SI measurement units allow scientists to report data to
other scientists.• Adding prefixes to SI units extends the range of possible
measurements.
• To convert to Kelvin temperature, add 273 to the Celsius temperature. K = °C + 273
• Volume and density have derived units. Density, which is a ratio of mass to volume, can be used to identify an unknown sample of matter.
SECTION2.1
Units and Measurements
Study Guide
Key Concepts• A number expressed in scientific notation is written as a
coefficient between 1 and 10 multiplied by 10 raised to a power.
• To add or subtract numbers in scientific notation, the numbers must have the same exponent.
• To multiply or divide numbers in scientific notation, multiply or divide the coefficients and then add or subtract the exponents, respectively.
• Dimensional analysis uses conversion factors to solve problems.
SECTION2.2
Scientific Notation and Dimensional Analysis
Study Guide
Key Concepts
• An accurate measurement is close to the accepted value. A set of precise measurements shows little variation.
• The measurement device determines the degree of precision possible.
• Error is the difference between the measured value and the accepted value. Percent error gives the percent deviation from the accepted value.
error = experimental value – accepted value
SECTION2.3
Uncertainty in Data
Study Guide
Key Concepts
• The number of significant figures reflects the precision of reported data.
• Calculations should be rounded to the correct number of significant figures.
SECTION2.3
Uncertainty in Data
Study Guide
Key Concepts
• Circle graphs show parts of a whole. Bar graphs show how a factor varies with time, location, or temperature.
• Independent (x-axis) variables and dependent (y-axis) variables can be related in a linear or a nonlinear manner. The slope of a straight line is defined as rise/run, or ∆y/∆x.
• Because line graph data are considered continuous, you can interpolate between data points or extrapolate beyond them.
Study Guide
SECTION2.4
Representing Data
Which of the following is the SI derived unit of volume?
A. gallon
B. quart
C. m3
D. kilogram
CHAPTER
2 Analyzing Data
Chapter Assessment
Which prefix means 1/10th?
A. deci-
B. hemi-
C. kilo-
D. centi-
CHAPTER
2 Analyzing Data
Chapter Assessment
Divide 6.0 109 by 1.5 103.
A. 4.0 106
B. 4.5 103
C. 4.0 103
D. 4.5 106
CHAPTER
2 Analyzing Data
Chapter Assessment
Round 2.3450 to 3 significant figures.
A. 2.35
B. 2.345
C. 2.34
D. 2.40
CHAPTER
2 Analyzing Data
Chapter Assessment
The rise divided by the run on a line graph is the ____.
A. x-axis
B. slope
C. y-axis
D. y-intercept
CHAPTER
2 Analyzing Data
Chapter Assessment
Which is NOT an SI base unit?
A. meter
B. second
C. liter
D. kelvin
CHAPTER
2 Analyzing Data
Chapter Assessment
Which value is NOT equivalent to the others?
A. 800 m
B. 0.8 km
C. 80 dm
D. 8.0 x 104 cm
CHAPTER
2 Analyzing Data
Standardized Test Practice
Find the solution with the correct number of significant figures:25 0.25
A. 6.25
B. 6.2
C. 6.3
D. 6.250
CHAPTER
2 Analyzing Data
Standardized Test Practice
How many significant figures are there in 0.0000245010 meters?
A. 4
B. 5
C. 6
D. 11
CHAPTER
2 Analyzing Data
Standardized Test Practice
Which is NOT a quantitative measurement of a liquid?
A. color
B. volume
C. mass
D. density
CHAPTER
2 Analyzing Data
Standardized Test Practice
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