Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

69
Chapter 2: Analyzing Data CHEMISTRY Matter and Change

Transcript of Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

Page 1: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

Chapter 2: Analyzing DataChapter 2: Analyzing Data

CHEMISTRY Matter and Change

Page 2: Chapter 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

Page 3: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 4: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 5: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 6: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

SECTION2.1

Units and MeasurementsSECTION2.1

Units and Measurements

Units (cont.)

Page 7: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

SECTION2.1

Units and Measurements

Units (cont.)

Page 8: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 9: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 10: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 11: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 12: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 13: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

Which of the following is a derived unit?

A. yard

B. second

C. liter

D. kilogram

Section CheckSECTION2.1

Page 14: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

What is the relationship between mass and volume called?

A. density

B. space

C. matter

D. weight

Section CheckSECTION2.1

Page 15: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.
Page 16: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 17: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 18: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 19: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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.)

Page 20: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 21: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 22: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 23: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 24: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 25: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 26: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 27: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.
Page 28: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 29: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

accuracy

precision

error

Measurements contain uncertainties that affect how a result is presented.

percent error

significant figures

SECTION2.3

Uncertainty in Data

Page 30: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 31: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• Error is defined as the difference between an experimental value and an accepted value.

SECTION2.3

Uncertainty in Data

Accuracy and Precision (cont.)

Page 32: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 33: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 34: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 35: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 36: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 37: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 38: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 39: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 40: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 41: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.
Page 42: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 43: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• A graph is a visual display of data that makes trends easier to see than in a table.

SECTION2.4

Representing Data

Graphing

Page 44: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• A circle graph, or pie chart, has wedges that visually represent percentages of a fixed whole.

SECTION2.4

Representing Data

Graphing (cont.)

Page 45: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

SECTION2.4

Representing Data

Graphing (cont.)

• Bar graphs are often used to show how a quantity varies across categories.

Page 46: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 47: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 48: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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

Page 49: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

• 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.)

Page 50: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

____ 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

Page 51: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 52: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.
Page 53: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

Chemistry Online

Study Guide

Chapter Assessment

Standardized Test Practice

CHAPTER

2 Analyzing Data

Resources

Page 54: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 55: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 56: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 57: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 58: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 59: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 60: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

Which prefix means 1/10th?

A. deci-

B. hemi-

C. kilo-

D. centi-

CHAPTER

2 Analyzing Data

Chapter Assessment

Page 61: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 62: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 63: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 64: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

Which is NOT an SI base unit?

A. meter

B. second

C. liter

D. kelvin

CHAPTER

2 Analyzing Data

Chapter Assessment

Page 65: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 66: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 67: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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

Page 68: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

Which is NOT a quantitative measurement of a liquid?

A. color

B. volume

C. mass

D. density

CHAPTER

2 Analyzing Data

Standardized Test Practice

Page 69: Chapter 2: Analyzing Data CHEMISTRY Matter and Change.

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