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ISP 120 Week 2

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Title: ISP 120 Week 2


1
ISP 120 Week 2
  • Exponential Models

2
Activity 1
  • Cars and Trucks by Year 2003
  • a. Make an X-Y scatter plot of the data. Include
    it in your Word document. 

3
  • b. Add a trendline to your chart in a. Include
    the equation for the trendline and the R-squared
    value. Paste this chart in your Word document.

4
  • c. Predict how many cars and trucks there will be
    in the US in the year 2008 using both the
    equation method and the extended trendline
    method. 
  • i.  Equation Method  Substitute 2008 for x into
    the equation displayed on your graph in b) and
    solve for y.  Write your answer in your Word
    document.  (In some cases you might need to
    substitute a value for y and solve for x).  Type
    your result in your Word document.
  • y 3.4659x - 6718.8
  • y 3.4659(2008) - 6718.8
  • y 6959.5272 - 6718.8
  • y 240.7272 240.73 million
  • Therefore, according to the trendline, there will
    be 240.73 million cars and trucks in the US by
    2008.

5
  • ii.  Extended Trendline Method  Extend the
    trendline on your graph using by right clicking
    on the trendline (you created in b) and then
    choose Options and Forward Forecast.  Enter 5 to
    predict the number of passenger cars and trucks
    there will be in 2008.  This gives you an
    approximate prediction.  Paste the graph in your
    Word document.  Paste the graph in your Word
    document.Always verify the your results match! 
    If not, please see your instructor!

6
  • d. Use the equation method to predict when there
    were no passenger cars and trucks in the US. Type
    you result in your Word document.  Verify your
    answer by extending the trendline and pasting the
    resulting graph in your Word document.  How
    accurate is the model in this prediction?  In 2-3
    sentences justify whether or not the equation
    should be used to predict when there were no
    passenger cars and trucks.
  • y 3.4659x - 6718.8
  • 0 3.4659x - 6718.8
  • 6718.8 3.4659x
  • 1938.544 x
  • x 1938

7
  • Therefore, according to the equation and the
    extended trendline, there were NO cars in 1938.
    However, practical knowledge tells us this cannot
    be accurate because cars were invented in the
    1800s.

8
  • e. Use both methods to predict the number of cars
    in US in 2050.  Type your answer and paste your
    graph in your Word document. Be sure your results
    match!  Do you think your answer is a good
    estimate? In 2-3 sentences justify whether or not
    the equation should be used to predict how many
    passenger cars and trucks there will be in 2050.
  • y 3.4659(2050) - 6718.8
  • y 7105.095 - 6718.8
  • y 386.295 386.30 million

9
  • Therefore, according to the equation and the
    trendline, there will be approximately 386.30
    million cars and trucks in 2050. Because the R2
    value is close to 1 and we would expect the
    number of passenger cars and trucks to continue
    increasing, 386.30 million is probably a pretty
    good prediction for 2050.

10
  • Coal Consumption 2003
  • a. Make an X-Y scatterplot of the data. Add a
    trendline, including the equation of the line and
    the R-squared value. Paste this chart into your
    Word document.

11
  • b. Use both methods (see above) to predict coal
    consumption in the year 2008.  Type you answer
    and paste your graph in you Word document.
  • y 0.3374x - 652.75
  • y 0.3374(2008) - 652.75
  • y 24.7492 24.75 quads

12
  • c. According to your model, when will the coal
    consumption be 30 quads?
  • 30 0.3374x - 652.75
  • 30 652.75 0.3374x
  • 682.75 0.3374x
  • 2023.563 x
  • x 2024

13
  • d. In a short well-written paragraph, discuss
    social, political, or physical changes which
    might affect the accuracy of predictions using
    this model.
  • Increase/decrease in usage of other energy
    sources
  • Limiting resources/advancing technology
  • Development of more efficient means for energy
  • Political laws regulating the excavation of coal
  • Social reforms effecting labor conditions
  • Engagement of war
  • Clean air laws

14
WEEK 2 Overview
  • Introduce Exponential Modeling
  • Discuss Radioisotope Dating
  • Solving Exponential Equations with Logarithms
  • Activities 2 and 3
  • Assignment 2

15
Exponential Change
  • A linear relationship has a fixed rate of change
  • An exponential relationship is one in which for a
    fixed change in x, there is a fixed percent
    change in y
  • The percent change must be constant for the
    relationship to be exponential
  • REMINDER To calculate the actual percent, you
    must multiply your results by 100 to convert to
    percent OR in Excel click the icon on the
    toolbar

16
Examples
17
General Equation
  • y P(1r)x
  • P is the starting value (value of y when x 0)
  • r is the percent change (written as a decimal)
  • x is the input variable (usually time)
  • The equation for the previous example when r
    -.5 would be
  • y 192(1-.5)x
  • y 192.5x

18
Where do we encounter exponential relationships?
  • Populations tend to grow exponentially
  • When an object cools, the temperature decreases
    exponentially toward the ambient temperature
  • Radioactive substances decay exponentially
  • Bacteria populations grow exponentially
  • Money in a savings account with a fixed rate of
    interest
  • Viruses and even rumors spread exponentially
    through a population (at first)
  • Anything that doubles, triples, halves over a
    certain amount of time
  • Anything that increases or decreases by a percent

19
Increasing/Decreasing a Number by a Percent
  • N P Pr
  • N P(1r)
  • N is the ending value
  • P is the starting value
  • r is the percent (in decimal form)
  • to convert from percent to decimal form, divide
    by 100 (move the decimal 2 places to the left)
  • These two formulas are the same by the
    distributive law

20
Examples
  • Increase 50 by 10
  • Sales tax is 9.75. You buy an item for 37.00.
    What is the final price of the article?
  • In 1999, the number of crimes in Chicago was
    231,265. Between 1999 and 2000 the number of
    crimes decreased by 5. How many crimes were
    committed in 2000?

21
Exponential Growth Over Time
  • Exponential growth is increasing by the same
    percent over and over
  • If a quantity P is growing by r each year, after
    one year there will be P(1r)
  • After 2 years, we multiply the amount after one
    year by (1r) P(1r)(1r) P(1r)2
  • After 3 years, we multiply the amount after 2
    years by (1r) P(1r)2(1r) P(1r)3

22
  • Therefore, after t years the formula will be
  • N P(1r)t
  • If the quantity P is decreasing by r, then the
    formula will be
  • N P(1-r)t

23
Example By Hand
  • A bacteria population is at 100 and is growing by
    5 per minute.
  • How many bacteria cells are present after 3
    minutes? one hour?
  • How many minutes will it take for there to be
    1000 cells?

24
Same Example By Excel
  • 5 minutes
  • 60 minutes

25
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26
Another Example w/ Excel
  • Country A had population of 125 million in 1995.
    Its population was growing 2.1 a year. Country
    B had a population of 200 million in 1995. Its
    population was decreasing 1.2 a year. What are
    the populations of the countries this year? Has
    the population of country A surpassed the
    population of B? If not, in what year will the
    population of country A surpassed the population
    of B?

27
Radioisotope Dating
  • Radioactivity is the emission of energy
    (particles) from the nuclei of atoms
  • It was discovered in 1896 by Henri Becquerel and
    in 1898 by Marie and Pierre Curie (uranium)

28
  • The key feature of radioactivity that makes it so
    fascinating is that the energy released is
    enormous compared to typical chemical energies. 
    The typical energy release in the explosion of
    one nucleus of one atom is about a million times
    greater than in a chemical explosion of a single
    atom.

29
  • Nature of radioactivity
  • Their radiation affects the emulsion on a
    photographic film
  • Their radiation make certain compounds fluoresce
  • Their radiation have special physiological
    effects
  • Alexander Litvinenko
  • They undergo radioactive decay.
  • The atoms of all radioactive elements continually
    decay into simpler atoms and simultaneously emit
    radiations.
  • Half-life is the length of time during which, on
    the average, half of a given number of atoms of a
    radioactive nuclide decays.
  • For example, the half-life of radium-226 is 1620
    years. This means that one-half of a given
    sample of radium-226 can be expected to decay
    into simpler atoms in 1620 years.

30
  • The splitting of heavy nucleus into nuclei of
    intermediate mass is called fission, during which
    neutrons are emitted and a large amount of energy
    is released
  • In a fission reaction, the target nucleus is
    bombarded with neutrons and may break up in a
    great many different ways
  • In most cases, two or three neutrons are emitted
    in the process

31
Chain Reaction
A chain reaction is a reaction in which the
material or energy that starts the reaction is
also one of the products and can cause similar
reactions.
32
  • The first controlled chain reaction was actually
    carried out here in Chicago at the University of
    Chicago in 1942 by physicist Enrico Fermi (Nobel
    Prize 1938)
  • Nuclear Energy sculpture by Henry Moore on
    Ellis Avenue between 55th and 57th Streets

33
Nuclear Power
  • A nuclear reactor is a device in which the
    controlled fission of certain substances is used
    to produce new substances and energy
  • A nuclear reactor is used in power production at
    nuclear power plants
  • The nuclear reactor must be able to sustain a
    chain reaction

34
Radioisotopes
  • Isotopes of an element have nuclei with the same
    number of protons but different numbers of
    neutrons
  • A radioisotope is a radioactive isotope of an
    element
  • Some radioisotopes are the products of natural
    radioactive decay
  • A far greater number of radioisotopes are
    prepared artificially by the nuclear reactor
    during the fission process

35
Radioisotope Dating
  • A process that employs the use of a natural
    radioisotope to learn the age of an ancient
    object
  • Example
  • The Dead Sea Scrolls have about 78 of the
    normally occurring amount of Carbon 14 in them. 
    Carbon 14 decays at a rate of about 1.202 per
    100 years.

36
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37
  • 2007 2000 7 AD
  • 2007 2100 93 BC
  • Current estimates are at a 95 confidence
    interval for their date to range from 150 BC to 5
    BC

http//www.lbl.gov/abc/wallchart/chapters/01/overv
iew.html
38
Solving Exponential Equations
39
Solving for Time
  • To solve an exponential equation algebraically
    for time, we must use logarithms
  • Remember that what you do to one side of an
    equation, you must do to the other side as well

40
Problem 1
  • A bacteria population is at 100 and is growing by
    5 per minute. How long will it take for the
    number of cells in the dish to reach 1000?
  • Use logarithms to find an EXACT answer.

41
Problem 2
  • If you deposited 100 into a savings account that
    grows at 3.4 compounded annually, how long will
    it take for your balance to double?

42
Problem 3
  • Lets revisit the bacteria situation above.
    Assuming we allowed the bacteria population to
    reach 3000 then put in an antibiotic that killed
    the cells at a rate of 22.5 a minute, how long
    would it take for the population to decline to 60
    cells?

43
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