Chem;Writing and Doing Science

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Chem;Writing and Doing Science

Chem;Writing and Doing Science
1 Reading, Writing and Doing Science
Learning Objectives
As you work through this chapter you will learn how to:
< identify and apply the elements of the scientific method.
< distinguish between science and pseudoscience.
< plan a scientific experiment.
< identify quantitative relationships between two quantities.
< graph quantitative data on an x-y scatter plot.
< interpret straight line graphs.
1.1 The Language of Science
Have you or a friend, when thinking about or discussing some situation, ever said
“My theory is …” ? In science sometimes commonly used words like theory have a very
different meaning than what is usually associated with the term. In addition, there is
often an extensive vocabulary of specialized terms used by scientists in various fields.
Part of learning about science, and chemistry, involves learning a new language, just as if
you were studying Greek or Chinese. In this text such new keywords will generally be
introduced in boldface. It is essential that you learn these terms, including the proper
spelling and any symbol or shorthand abbreviation used. You should also be able to
explain the significance or meaning of each of these terms.
Scientists, like everyone else, sometimes get very casual in their speech and say
one thing when, in fact, they mean another. For example, they may refer to the weight of
9
10 CHAPTER 1 READING, WRITING AND DOING SCIENCE
an object when they really mean mass3. Often the context is understood by the reader so
no confusion results. Sometimes the inappropriate use of a term is even acknowledged
by the writer. However, science is usually discussed in very specific terms and such
casual mistakes need to be avoided. Throughout this text and in your classroom you will
be encouraged to be precise in your use of the scientific language of chemistry.
In science, the term theory means something very different than a guess or an
opinion. The term scientific theory refers to an explanation of some phenomenon that
has been extensively tested and is widely (if not universally) accepted by scientists. The
idea that all matter is composed of atoms is an example of a well established theory and it
provides explanations for a range of phenomena. However, a theory can be proved false
at any time by new evidence. Scientists are constantly expanding, refining and
questioning scientific theories.
The knowledge of science can be visualized by the set of concentric circles in
Figure 1.1. The core ideas of science make up the inner circle. These are well
established and do not change much. Ideas such as the theory of gravitational attraction
or the theory of evolution are in the inner circle. Next come the frontiers of science
where new ideas, often revolutionary, are being explored. The study of the nature and
causes of autism or the design of lightweight, efficient batteries for automobiles fall into
the science frontiers circle. Finally, the outermost ring refers to fringe ideas. Here there
is much speculation and little science. The denial of global climate change and its manmade
causes belongs in the fringe area.
3Mass is a measure of the amount of matter in an object. In common experience the mass
of an object does not change. Weight is a force caused by gravitational attraction and depends
on location. The relationship between mass (m) and weight (w) is given by w = mg where g is
the acceleration due to gravitational attraction.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 11
Figure 1.1 Representation of Science Knowledge4
1.2 Doing Science
How does a theory develop? It is the product of the scientific method being
applied over and over again. The scientific method is a process used by scientists to
develop a reliable and accurate representation of the natural world. It is based on
observations rather than belief. The scientific method starts when you ask a question
about something you observe. As Isaac Asimov (1920-1992), the prolific American
author and biochemist best known for his science fiction stories, once observed, “The
most exciting phrase to hear in science, the one that heralds new discoveries, is not
‘Eureka!’ but ‘That’s funny…’ “. In response to observations a hypothesis is proposed. A
hypothesis is a tentative explanation of the possible cause of what was observed. It has
the important characteristic that a scientific test can prove the hypothesis untrue. This
tentative explanation allows one to make predictions about what should happen under
certain circumstances. These predictions are then tested by experimentation. If the
results are inconsistent with the predictions, and thus do not support the hypothesis, then
it is rigorously questioned, and either rejected or modified to be consistent with the new
core ideas
frontier ideas
fringe ideas
4Adapted from E. Scott, Science News, August 1, 2009, p. 32.
12 CHAPTER 1 READING, WRITING AND DOING SCIENCE
observations hypothesis predictions
experiments
theory
repeatedly
consistent
results
inconsistent
results,
modify
hypothesis
observations. If the predicted results are obtained, then they add support to the
hypothesis, but they do not prove that the hypothesis is correct. Generally, a hypothesis
can never be proven correct, only disproved. As more and more results from experiments
lend support to a hypothesis, it becomes so well established it is recognized as a theory.
These steps in the scientific method are outlined in Figure 1.2.
Figure 1.2 Elements of the scientific method
The scientific method is quite commonly used by non-scientists in everyday
problem solving. Suppose, for example, you come home late at night and when you flick
the wall switch your light does not come on as expected. In order to get to the bottom of
this dilemma you think about the possible causes for this problem and check out each one
in turn. This process is equivalent to making an observation, constructing various
hypotheses and doing experiments to test your hypotheses. Your list of possible
explanations, along with an appropriate test for each, might look like the following.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 13
Observation: Table light does not come on when the wall switch is flipped.
Possible explanation Method of testing
Light is unplugged. Check wire and plug from lamp.
Light bulb is loose. Tighten bulb.
Light bulb is burned out. Replace light bulb.
Circuit breaker is tripped. Test electrical outlet with other items.
There is a general power outage. Check if other electrical items work.
Wiring from lamp is defective. Check continuity of circuit with
ohmmeter.
Gremlins in the electrical circuit are
unhappy with you because you
continually leave the light on and waste
energy so they have disabled the light.
Not testable.
You may quickly determine there is no general power outage and start to test the
other possible explanations. If you find that the light works when you replace the bulb, it
is this explanation that becomes accepted. Given that the last explanation in the table
above cannot be tested (Can you think of any test that would support this explanation?), it
is, consequently, not a valid scientific hypothesis. This does not mean it is incorrect, it
simply means that it cannot be supported using the scientific method and hence does not
represent science.
Scientific research is cumulative and progressive. A scientist often does not
simply rely on his or her own observations to propose a hypothesis or to design
experiments to test a hypothesis. The extraordinary English physicist and mathematician
Sir Isaac Newton (1643-1727) once wrote, “If I have seen further it is only by standing
on the shoulders of giants.” It is very important to learn what other research has been
done and the results of those experiments. Scientific research results are disseminated
through publications and public presentations. In order to publish one’s results a scientist
usually submits a manuscript that is reviewed by other scientists to ensure that the
14 CHAPTER 1 READING, WRITING AND DOING SCIENCE
research is sound. This peer review checks to see that there were proper controls for the
experiment, that the research took into account related work in designing the experiments
and interpreting the results, that the results were reproducible and any bias was
minimized. If a quantitative (numerical) result is obtained, then its uncertainty must be
properly estimated.
Published results and conclusions serve as invitations to further testing by the
scientific community. Only after many repeated confirmations, usually over a significant
period of time, are such ideas adopted by most scientists. In this way the scientific
method is unprejudiced. However, remember that these ideas can be brought into
question at any time if some inconsistent results are observed. The chemistry
explanations presented in this text are widely accepted by scientists because there have
been no observations that run counter to these theories. In this course you will be
studying science knowledge in the innermost circle (Fig. 1.1).
In some cases it is not possible to test a hypothesis directly with experiments, so
the hypothesis is evaluated by analyzing existing information. For example, in trying to
identify when and explain how woolly mammoths and other large animals died out in the
Americas, paleoecologists and zooarchaeologists study fossil samples, do carbon dating
and analyze mitochrondrial DNA recovered from permafrost to find clues in support of a
possible explanation.5 Astronomers and physicists studying the very beginning of our
universe face similar limitations. In some situations more than one logical explanation is
consistent with all that has been observed. In this case, there is much debate as scientists
continue to seek more evidence and refine their explanations.
5Note that these methods of analysis, such as using fossils and carbon dating, have been
developed through rigorous scientific testing.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 15
Millions and millions of scientific observations have been made. Generally the
more important ones get published in some form and are known to other scientists and
non-scientists. When a consistent pattern of results is observed over time it is often
expressed as a law. A scientific law is a general summary of observations (facts).
Unlike a scientific theory, it simply states what is likely to happen, not why. Scientific
laws are usually integral components of a scientific theory. Scientific principle and rule
are terms that are often used interchangeably with law. In most cases the choice of term
appears to depend on historical convention.
As in all areas where not only inquiry, discovery and explanation, but also
competition, are involved, one concern about the scientific method is the issue of fraud.
Scientists who are seeking recognition or financial gain may fake results or distort data.
There are many known examples of this in science. However, since important ideas gain
Check for Understanding 1.1 Solutions
1. Which of the following represents the fundamental steps of the scientific
method?
A. observation ! law ! hypothesis ! theory.
B. observation ! hypothesis ! experiment ! theory.
C. hypothesis ! theory ! experiment ! law.
D. observation ! theory ! experiment ! hypothesis.
2. Characterize each of the following as an example of a scientific law,
scientific theory, observation, or none of these.
a) The liquid in a glass of water is composed of molecules.
b) Flammable materials always contain oxygen.
c) When a can of soda pop is opened, a fizzing sound is heard.
d) The force of gravity between two objects increases as they get closer.
16 CHAPTER 1 READING, WRITING AND DOING SCIENCE
acceptance only after a given result has been obtained many times by many different
people, the disciplines in science are self-correcting. Fraud may persist for some time,
especially in medical science where the potential financial gains are very significant.
However, as a rule, eventually such deception is uncovered.
Another concern is that science is done by an exclusive club of like-minded
individuals and that anyone challenging the prevailing or mainstream explanations – the
“status quo” – is marginalized. It is, in fact, often very difficult to get a new and
important scientific idea accepted. When new ideas are proposed, the scientists
proposing them use their evidence to make the strongest case possible. Their colleagues,
in turn, challenge that evidence and reasoning because that’s the scientific method.
While sometimes unpleasant, the rigor of this process in science is what distinguishes it
from a debate you may have with your friends about something like lowering the
drinking age. The most reasoned and widely explanatory ideas win out because scientists
are very demanding in their review of each other’s work. For example, the suggestion
that chelation therapy6 is an effective way to treat autism has been met with widespread
skepticism because most of the support is anecdotal (based on causal observations) rather
than based on rigorous and reproducible scientific studies involving controlled testing.
Until such supporting evidence is provided, it is unlikely that this idea will gain much
acceptance in the medical or wider scientific community.
Nonetheless, science is open to new ideas even if they are initially challenged or
ignored by the scientific community. Take, for example, the work done by Barbara
McClintock (Fig. 1.3). Her research on corn in the 1940s and 1950s showed that
sequences of DNA can change positions within a chromosome (transposition) resulting in
mutations. This discovery went against the accepted view that DNA was stable and
unchanging. Initially her research was met with such skepticism that, after several years,
she stopped publishing detailed reports of her work. As new technology was developed
and other scientists verified her revolutionary ideas, Barbara McClintock’s work was
6Chelation therapy is the use of chemicals to scavenge metals from the body. It is used,
for example, to treat acute lead poisoning.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 17
validated and she was the recipient of many prestigious science awards, including the
1983 Nobel Prize for Physiology or Medicine.
Figure 1.3 Barbara McClintock in the lab at Cold Spring Harbor in 1947
Courtesy of the Barbara McClintock Papers, American Philosophical Society.
Other scientists whose revolutionary ideas initially met significant resistance in
the science community before ultimately being validated include Alfred Wegener
(continental drift), Lynn Margulis (endosymbiosis and evolution), Barry Marshall
(bacterial origin of ulcers), Stanley Prusiner (protein replication without DNA and RNA),
Jacobus H. van’t Hoff (stereochemistry) and Hannes Alfvén (magnetohydrodynamic
waves), all of whom were eventually awarded a Nobel Prize.7
All of this indicates that science does not advance in the tidy way suggested by
Figure 1.2. There may be many twists and turns until a well supported scientific theory is
developed. In fact, many accomplished scientists have subscribed to ideas that were later
shown to be in error. However, given the process of the scientific method, all this in no
way suggests that just because there is some measure of uncertainty in a scientific theory
7See B. Barber, Science 134, 596 (1961) for a discussion of various reasons why
scientists might resist new discoveries.
18 CHAPTER 1 READING, WRITING AND DOING SCIENCE
any belief is equally meritorious. Science still insists on confirmed predictions to support
legitimate scientific hypotheses and theories.
1.3 Pseudoscience – If it looks like a duck…
Perhaps you have heard the expression, “If it looks like a duck, swims like a duck
and quacks like a duck, then it probably is a duck.” Well, this is not always the case.
Several years ago the first-place winning project in a local elementary school science fair
attempted to answer the question of whether the color of a milkshake influences one’s
preference for the shake. The details of the project were nicely presented in a three-panel
display with all of the items colorfully labeled and neatly printed (see Fig. 1.4).
Figure 1.4 Typical display board for a science project
Keywords like Question, Procedure, Data and Conclusions prominently identified the
various sections. Its neat and organized appearance certainly caused it to stand out
among the other projects. However, there was one fault with the project – it had nothing
to do with science! It was essentially an opinion poll about color preferences. There
were no control experiments and no careful monitoring of experimental variables.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 19
The purpose of a control experiment is to provide a reference point against
which you can compare your results. For example, if you wish to investigate the effect
that classical music has on plant growth, you will have to grow some plants in the
absence of that music. This experimental piece would be “the control”. You must ensure
that all other conditions such as the type of plants, the soil, the temperature, watering
schedule and so on are the same for the control experiment and the other experiments so
that any effects you observe can be traced to the music.
Experimental variables are aspects of the experiment that you change from trial
to trial. For example, if you were studying how fast a chemical reaction occurs, you
might vary the concentration of the reagents or the temperature of the reaction. The
effect that a particular variable has on the experimental results may be found by
changing one variable at a time while the other variables remain the same.
Certainly deception was not the intent of the student who did the milkshake
project, nor were the teachers who judged the project trying to mislead anyone. They
were all just insufficiently aware of the scientific method and were fooled into believing
this was a “science” project because it looked so much like one. This is a rather harmless
example of pseudoscience.
Pseudoscience is an idea or process which masquerades as science. It is often
known as alternative science. Because pseudoscience uses many of the same terms as
those used by scientists, and makes statements that may be scientifically true, many
people have difficulty recognizing pseudoscience for what it is, a sham. Pseudoscience
lacks carefully controlled experiments and widespread testing of its claims and
explanations. This examination and analysis is at the heart of true scientific inquiry. The
idea of a perpetual motion machine, phrenology, and “intelligent design” to explain
natural phenomena are examples of pseudoscience.
20 CHAPTER 1 READING, WRITING AND DOING SCIENCE
Copyright 2006 by Sidney Harris. Reproduced with permission from ScienceCartoonsPlus.com.
It is not always easy to distinguish pseudoscience from science. It usually takes
much more information than one obtains from unreviewed Internet postings or TV news
stories. It is challenging to identify a logically sounding claim that is not based on fact.
However, it is very important for individuals in today’s society to be able to make this
distinction. Many far-reaching political decisions require a minimum appreciation for the
difference in order to avoid costly errors in policy. Individuals must recognize
pseudoscience to avoid making harmful medical decisions or wasting money on quack
products. The following characteristics are some things to look for in making the
distinction between sound scientific studies and pseudoscience claims.8
‚ Pseudoscience is more likely to be driven by ideological, cultural, or
commercial goals than a desire for a complete, logical and predictive
understanding.
‚ There is little research associated with pseudoscience and hence limited
expansion of knowledge in this area. Any work that is done is generally
carried out to justify a belief rather than to develop an understanding.
‚ In pseudoscience, workers in the field do not seek out counterexamples or
challenge the prevailing belief.
8See also http://www.quackwatch.com/01QuackeryRelatedTopics/pseudo.html.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 21
Adapted from cartoon by John Trever, Albuquerque Journal. ©1998. Used with permission of author.
1.4 Pattern Recognition
If you study the picture below, you may discover that this mosaic is constructed
from the repeated use of a specific arrangement of colored figures.9 Behind all of the
complexity lies a relatively simple pattern. In a similar fashion, scientific laws are
statements about patterns that appear in nature. You will encounter many patterns or
trends as you study chemistry.
Image 1997-2011 by Artlandia, Inc., reproduced with permission.
Pseudoscience
9How might you go about finding the pattern? How would you test your idea? Try this
before going to http://www.csun.edu/~hcchm003/100/mosaic.jpg to see an outline of the repeating
element.
22 CHAPTER 1 READING, WRITING AND DOING SCIENCE
Because chemistry is efficiently organized, it is better understood and
remembered if you take careful note of the patterns, or trends, that are mentioned in each
chapter. For example, we will see that the periodic table of the elements is organized so
that many regular trends and relationships exist among the arranged elements. By
knowing these patterns, you will be able to make predictions about the properties of an
element without even knowing specific details about that element.
1.5 Representing Quantitative Scientific Information – Equations and Graphs
A scientific law can often be expressed as a mathematical equation, especially in
areas like chemistry and physics. This shorthand notation allows scientists to make
quantitative10 predictions about the outcome of a particular experiment quite readily. For
example, consider a balloon full of air as it significantly changes temperature (imagine
putting the air balloon in the freezer). You will quickly see that there is a connection
between the temperature of the balloon and its volume. The kinetic theory of gases, and
countless observations, indicate that a substance in the gas phase will generally behave
according to the following equation:
PV ? nRT (ideal gas11 equation) (1.1)
where P is the pressure of the gas, V is the volume occupied by the gas sample, T is the
temperature of the gas, n is a measure of how much gas is present and R is a numerical
constant. Although we will not discuss the behavior of ideal gases in this class, we will
use this equation to illustrate a few examples of quantitative relationships.
10Quantitative results are associated with quantities that are measured and have a
numerical value (for example, this milk contains 1% fat). Qualitative results do not have a
numerical value and may be subjective (for example, this milk tastes sour).
11An ideal gas is a substance in which the particles that make up the material are assumed
to be moving randomly and independently of each other. This is a reasonable assumption for
many gases at room temperature and pressure conditions.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 23
The mathematical statement in equation 1.1 enables one to predict, for example,
how the pressure of a fixed amount of gas in a fixed volume will change as the
temperature is altered. To see this more clearly, a little algebra can be used to relate P
and T. First divide both sides of the ideal gas equation by V to give:
PV nRT (1.2)
V V
?
On the left side of the equation the volume term in the numerator cancels the
volume term in the denominator. On the right side of the equation, since n, R and V are
all fixed in value, their ratio (nR/V) can be replaced by a number (a constant value).
Thus, equation 1.2 becomes:
P ? (constant) x T (when n and V are fixed) (1.3)
The relationship in equation 1.3 means that P is directly proportional to T; the
pressure will change by the same factor as a change in temperature. For example, if the
value of T doubles then the pressure will double, or, if the temperature is reduced by 15%
then the pressure is reduced by 15%. This relationship between pressure and temperature
explains the reasoning behind warnings on aerosol cans to avoid subjecting the can to
high temperatures. Such cans contain a gas under pressure. If the temperature increases
enough, the pressure of the gas inside may become so high that the can explodes.
The quantitative predictions that equation 1.3 yields are easily tested. If one is
doing experiments to test how pressure varies with changes in temperature (for a fixed
amount of gas in a fixed volume like the air in a car tire), temperature is referred to as the
independent variable since you set its value when doing the experiment. Because the
value of P depends on the value of T, pressure is known as the dependent variable. The
dependent variable changes in response to a change in the independent variable.
24 CHAPTER 1 READING, WRITING AND DOING SCIENCE
Imagine measuring the pressure of a gas sample at constant volume as the
temperature is changed. Perhaps you might collect the following data.
Temperature (K) Pressure (atm)
290 1.06
295 1.08
300 1.10
305 1.12
310 1.14
As expected, the pressure increases as the temperature is raised, however, the numerical
connection between the pressure and the temperature is not obvious from these
measurements.
The relationship between a dependent variable and an independent variable is
often represented in graphical form on an x-y scatter plot. An x-y scatter plot consists of
two perpendicular lines or axes. The distance along the horizontal axis (x-axis)
represents the value of one of the experimental quantities and the distance along the
vertical axis (y-axis) represents the value of the other. For example, if we measure the
pressure of a gas sample at various temperatures, we can represent each experimental
measurement by a point whose horizontal distance is proportional to the temperature and
whose vertical distance is proportional to the pressure. Unless specified otherwise, one
plots the values of the independent variable in a series of measurements along the
horizontal x-axis and the corresponding values of the dependent variable along the
vertical y-axis. Figure 1.5 illustrates such a plot of pressure versus temperature. Note
that each axis is labeled with the quantity being plotted and its units. This straight line
graph is characteristic of a plot of two quantities that are directly proportional. In this
case, as the temperature increases the pressure also increases and the line slopes upward
as you go from left to right.
CHAPTER 1 READING, WRITING AND DOING SCIENCE 25
Figure 1.5 x-y scatter plot of pressure vs temperature for an ideal gas
Equation 1.1 (p. 22) also allows us to readily predict how the pressure of an ideal
gas varies when the sample volume is changed for a fixed amount of gas at a constant
temperature. Rearrangement of equation 1.1 yields:
P nRT constant (when n and T are fixed) (1.4)
V V
? ?
In this case the pressure is inversely proportional to the volume; that is, as the
volume increases by some factor the pressure decreases by the same factor, and when the
volume decreases the pressure increases. Mathematically, the product of two quantities
that are inversely proportional is a non-zero constant: in this case P x V is a constant.
Notice that when one creates an x-y scatter plot of pressure versus volume12 the result is
not a straight line (see Fig. 1.6). The graph is not straight because neither P or V can be
zero so the graph cannot cross either axis. This hyperbola curve is characteristic of plots
of inversely proportional quantities.
1.05
1.06
1.07
1.08
1.09
1.1
1.11
1.12
1.13
1.14
1.15
285 290 295 300 305 310 315
Temperature (K)
Pressure (atm)
12When you are asked to make a plot of quantity a versus quantity b, this means that you
plot quantity a on the y-axis and quantity b on the x-axis. This convention allows you to specify
the quantity plotted on the x-axis even if it is not the independent variable.
26 CHAPTER 1 READING, WRITING AND DOING SCIENCE
Figure 1.6 x-y scatter plot of pressure vs volume for an ideal gas
Straight Line Graphs
A straight line, or linear, graph such as the one in Figure 1.5 has several
advantages over a curved one. A straight line graph is easier to draw, and it is easier to
use to establish mathematical relationships between the variables. A straight line graph
of two quantities x and y fits the equation
y ? mx ? b (1.5)
where y is the quantity plotted on the vertical axis (also called the ordinate) and x is the
quantity plotted on the horizontal axis (the abscissa). The slope, or steepness, of the line
is m, and b is the y-axis intercept of the line, that is, the value of y when x = 0.
0
1
2
3
4
5
6
0 10 20 30 40 50 60
Volume (L)
Pressure (atm)
Check for Understanding 1.2 Solution
1. In Figure 1.6, which quantity is the independent variable and which is the
dependent variable?
CHAPTER 1 READING, WRITING AND DOING SCIENCE 27
0
1
2
3
4
5
6
7
8
0 1 2 X 3 4 5 6
Y (x1, y1)
(x2, y2)
y2 – y1
x2 – x1
b
Figure 1.7 shows a straight line graph drawn between data points (x1, y1) and
(x2, y2). The intercept (b) is the value of y at the point at which the line crosses the y-axis
when x = 0.
Figure 1.7 Linear x-y scatter plot
The following method can be used to determine the slope of the straight line.
1. Pick any two points lying on the line. The farther apart they are, the more
precise your measurement will be. In Figure 1.7, the two points (x1, y1)
and (x2, y2) are arbitrarily chosen.
2. Draw a horizontal line from (x1, y1) to the right and a vertical line from
(x2, y2) downward. Combined with the graph’s slanted line, these two
lines form a right triangle.
3. The distance from (x1, y1) to the right angle is x2 – x1, and the distance from
(x2, y2) to the right angle is y2 – y1.
4. The slope (m) is calculated by 2 1 and will have units equal to
2 1
m y y
x x
?
?
?
the ratio of the y-axis and x-axis units.
The mathematical sign of the slope may be positive or negative. In Figure 1.7 the
slope has a positive sign (because y2 > y1 and x2 > x1) and the line slopes upward as you
go from left to right. The line will slope downward as you go from left to right if the
slope is negative. It is quite convenient to use various computer programs to generate
28 CHAPTER 1 READING, WRITING AND DOING SCIENCE
graphs and the lines that fit the plotted data. A spreadsheet program such as Microsoft
Excel can be used to make simple x-y scatter plots.
Check for Understanding 1.3 Solutions
1. The equation for the straight-line graph in Figure 1.5 is y = 0.0038x – 0.047.
Determine the Kelvin temperature (K) at which the pressure of this gas
sample

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