4.1 CHECK and REFLECT
1. Name two properties of matter.
- malleability
- solubility
2. What are the two categories of pure substances in the matter classification tree shown in Figure 4.5 on page 143?
- elements
- compounds
3. How is an element different from a compound?
An element cannot be chemically broken down into any simpler substance, whereas a compound can be as they are elements that have been chemically combined to form one substance.
5. What is the relationship between an element's atomic number and the number of protons in the nucleus of each of its atoms?
An element's atomic number equals the number of protons and neutrons in said atom.
7. What is an ion?
An ion is a positively or negatively charged atom/group of atoms.
13. Suppose you place a kettle on the stove and boil some water. Is the steam that forms evidence of a chemical change or a physical change? Explain.
This is evidence of a physical change because an substance's boiling point is a physical property The substance is not reacting with anything, but simply changing its structure and evaporating.
15. Describe three things about atoms that you did not know before starting work on this section.
I learned that:
- bromine is the only non-metal that is a liquid at room temperature
- neutrons are 1837 times the weight of an electron
- flash point is a chemical property
Monday, February 18, 2013
Sunday, February 10, 2013
Mythbusters Science
Season 1,
Episode 1
“Ice
Bullet, Exploding Toilet, Who Gets
Wetter?
The Myth: If caught in a rainstorm, you will stay
drier by running for shelter, instead of walking.
Experimental Setup: The Mythbusters
set up a controlled experiment to compare the amount of rainwater absorbed by
walking versus running a set distance.
Background Questions:
1.
Define,
in your own words, each of these steps of the scientific method:
Question –
The initial reason for the experiment (what the experimenter wants to find
out).
Hypothesis – Experimenter’s
theory/guess on what will happen and why.
Experiment – The
process in which the experimenter tests his hypothesis.
Analysis – Considers
all data and looks for relationships between the variables. Experimenter tries
to understand what happened in the experiment and why.
Conclusion – Experimenter
comes up with an answer to the question based on the results of the experiment.
2.
The
question to be answered by this segment of Mythbusters is “Do you get wetter by
walking or running in the rain”? Given this question, what hypothesis do you
have?
I think that you
would get wetter by walking in the rain because you spend more time in the
rain, rather than when you are walking.
3.
Explain
why a hypothesis is not just a guess.
A hypothesis is
not just a guess because you must consider your background knowledge, as well
as logic and reasoning, to come up with a hypothesis. However, when one
guesses, you just say what you feel is right, without any backup or reasons.
4.
The
Mythbusters have two options: conduct the experiment indoors in controlled
conditions, or outdoors in nature. What are the pros and cons of each?
Indoors – There
are a reduced number of uncontrollable variables (such and wind and consistency
of rainfall). However, the rain will be man-made and unnatural.
Outdoors – There
are natural raining conditions, but uncontrollable and unpredictable
conditions.
5.
What
is the independent variable to be tested in this experiment?
The independent
variable is the speed of the person in the rain (whether they are running or
walking).
6.
What
is the dependent variable to be measured in this experiment?
The dependant
variable is how much the person in the rain absorbs.
7.
A
controlled experiment such as this one always has an experimental group and a
control group. What is the difference between the two?
The control
group is the test subject(s) that are not given the experiment. This allows the
experimenter(s) some data of what normally happens so that they can compare the
experiment results and see the differences.
The experimental group is test subject(s) that are
given the experiment so that the experiment can observe what effects the
experiment has.
8.
The
goal of a controlled experiment is to only alter the variable that is to be
tested, leaving all others constant. What variables do the Mythbusters account
for in their experiment design?
-
Wind
-
Speed of
walking/running
-
Rain consistency
-
Perspiration
-
Overalls’
consistent weight
9.
Ho
was the experiment that the two meteorologists designed different than that of
the Mythbusters?
They did not have
a controlled environment, nor did they specify the length of the run; they
simple compared the ratios.
10.
Adam
and Jamie each did 4 trials: walking without wind, running without wind,
walking with wind, and running with wind. Do you think this is enough data?
Explain how sample size can affect the outcome of an experiment.
This may not be
enough data as they only did two trials for each condition. This small sample
size provides a distorted view as they have limited data to examine. Had they
conducted the experiment more times, then they could get a better idea, an
average, of the results.
11.
This
is the data table based on the Mythbuster’s results. Calculate the amount of
water absorbed in each trial, and the water absorbed per second for each trial.
Trial
|
Wind
|
Time
(s)
|
Initial
Mass of Suit (g)
|
Final
Mass of Suit (g)
|
Water
Absorbed (g)
|
Water
Absorbed Per Second (g/s)
|
Adam walk
|
No
|
18.28
|
757
|
785
|
28
|
̴ 1.53
|
Jamie walk
|
No
|
17.84
|
757
|
790
|
33
|
̴ 1.85
|
Adam run
|
No
|
7.06
|
757
|
799
|
42
|
̴ 5.95
|
Jamie run
|
No
|
6.59
|
757
|
793
|
36
|
̴ 5.46
|
Adam walk
|
Yes
|
17.40
|
757
|
789
|
32
|
̴ 1.84
|
Jamie walk
|
Yes
|
17.56
|
757
|
788
|
31
|
̴ 1.77
|
Adam run
|
Yes
|
6.98
|
757
|
801
|
44
|
̴ 6.30
|
Jamie run
|
Yes
|
6.51
|
757
|
790
|
33
|
̴ 5.07
|
12.
Calculate
the average amount of water absorbed in the running and walking trials:
Avg.
Water Absorbed (Running) = 38.75 g
Avg.
Water Absorbed (walking) = 31 g
13.
Based
on the data recorded in the table above, generate a scatterplot graph. Mark the
walking trials on the graph with an “x”, and the running trials with an “o”.
The independent variable should go on the x-axis, and the dependent variable on
the y=axis. Label both axis!
14.
Finally,
generate a bar graph based on the average water absorbed running and walking.
15.
Give
one advantage and one disadvantage of displaying you data is a scatterplot
graph.
Advantage – A
scatterplot shows the specific points (data) of the experiment.
Disadvantage – A
scatterplot does not show the relation between the points.
16.
Give
one advantage and one disadvantage of displaying your average data in a bar
graph.
Advantage – A
bar graph shows the difference between the two sets of data.
Disadvantage – A
bar graph does not show the relation of the independent/dependent variables.
17.
What
conclusion did the Mythbusters make as a result of this experiment? Did their
conclusion agree or disagree with that of the two meteorologists? Which do you
think is a more accurate conclusion? Explain your choice.
The Mythbusters
concluded that you get wetter if you run through the rain. This is the opposite
conclusion of the meteorologists, as they concluded that you get wetter when
walking. I think that the Mythbusters’ conclusion is more accurate as they had
a controlled environment.
18.
Extra
Credit! The Mythbusters redesigned this experiment in Episode 38: Mythbusters
Revisited (found in the Third Season of Mythbusters), and collected different
data. Watch this segment and explain how they changed their experimental
procedures. Do you fell their data form the second attempt is more or less
reliable? Explain why.
This time, the Mythbusters used natural rain instead
of artificial rain. They also added caps to their outfit so they could measure
how much rain was absorbed. Instead of doing the trial in one direction, they
did two.
I think that this data is less reliable, even though
it is the same as the meteorologists’ results. All though the rain was natural,
the conditions such as wind and amount of rain could have changed during the
experiment so their data could be incorrect.
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