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Supplemental Instruction (S I ) schedule: Wednesdays from 5:00-6:00 pm Mondays from 6:30-7:30 pm in Room 461 in the Burris Library. The first Supplemental Instruction Session will be tomorrow (August 27). Exit Ticket. - PowerPoint PPT Presentation
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Supplemental Instruction (SI) schedule:
Wednesdays from 5:00-6:00 pm Mondays from 6:30-7:30 pm
in Room 461 in the Burris Library.
The first Supplemental Instruction Session will be tomorrow (August 27)
y = Year K = KSU Enrollment1998 12,8612002 15,6542005 18,5562009 22,389
The table shows the enrollment at Kennesaw State University in various years.
Assuming the enrollment at KSU increased at a constant rate during each time period, answer each of the following questions about the function K = K(y).
Exit Ticket
Source: http://vic.kennesaw.edu/EIMWebApps/vic/fact_books
1. Explain the meaning of K(1998) in this setting and give its value.
2.Estimate the value of K(2000).
3.What is the average rate of change between 2005 and 2009?
4.Use your answer to question 3 to estimate the enrollment at KSU in 2008.
y = Year K = KSU Enrollment1998 12,8612002 15,6542005 18,5562009 22,389
Exit Ticket
Source: http://vic.kennesaw.edu/EIMWebApps/vic/fact_books
1. Explain the meaning of K(1998) in this setting and give its value.
2. Estimate the value of K(2000).
3. What is the average rate of change between 2005 and 2009?
4. Use your answer to question 3 to estimate the enrollment at KSU in 2008.
K(1998) means the enrollment at KSU in 1998. It’s value is 12,861
Assuming the enrollment at KSU increased at a constant rate during each time period, answer each of the following questions about the function K = K(y).
14,258 students
Year KSU Enrollment1970 1,5701971 1,7731972 1,8481973 2,0311974 2,2411975 3,0981976 3,2111977 3,4441978 3,8251979 4,1341980 3,9031981 4,1951982 4,7991983 5,383
Year KSU Enrollment1984 5,8211985 6,8661986 7,2961987 7,9461988 8,6141989 9,1401990 10,0301991 10,9131992 11,6701993 12,2731994 11,9151995 12,1001996 12,5371997 13,094
Year KSU Enrollment1998 12,8611999 13,1582000 13,373 2001 13,9512002 15,6542003 17,4852004 17,9612005 18,5562006 19,8542007 20,6072008 21,4492009 22,3892010 23,4522011 24,175
Sources: http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/documents/pdf/FB1997_1998.pdf http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/
Year KSU Enrollment1970 1,5701971 1,7731972 1,8481973 2,0311974 2,2411975 3,0981976 3,2111977 3,4441978 3,8251979 4,1341980 3,9031981 4,1951982 4,7991983 5,383
Year KSU Enrollment1984 5,8211985 6,8661986 7,2961987 7,9461988 8,6141989 9,1401990 10,0301991 10,9131992 11,6701993 12,2731994 11,9151995 12,1001996 12,5371997 13,094
Year KSU Enrollment1998 12,8611999 13,1582000 13,373 2001 13,9512002 15,6542003 17,4852004 17,9612005 18,5562006 19,8542007 20,6072008 21,4492009 22,3892010 23,4522011 24,175
Sources: http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/documents/pdf/FB1997_1998.pdf http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/
y = Year K = KSU Enrollment1998 12,8612002 15,6542005 18,5562009 22,389
Exit Ticket
Source: http://vic.kennesaw.edu/EIMWebApps/vic/fact_books
1. Explain the meaning of K(1998) in this setting and give its value.
2. Estimate the value of K(2000).
3. What is the average rate of change between 2005 and 2009?
4. Use your answer to question 3 to estimate the enrollment at KSU in 2008.
K(1998) means the enrollment at KSU in 1998. It’s value is 12,861
Average rate of change from 2005 to 2009 is approximately 958.25 students per year.
Assuming the enrollment at KSU increased at a constant rate during each time period, answer each of the following questions about the function K = K(y).
KSU enrollment in 2008 was approximately 21,431.
18,556 + 3(958.25)
14,258 students
Year KSU Enrollment1970 1,5701971 1,7731972 1,8481973 2,0311974 2,2411975 3,0981976 3,2111977 3,4441978 3,8251979 4,1341980 3,9031981 4,1951982 4,7991983 5,383
Year KSU Enrollment1984 5,8211985 6,8661986 7,2961987 7,9461988 8,6141989 9,1401990 10,0301991 10,9131992 11,6701993 12,2731994 11,9151995 12,1001996 12,5371997 13,094
Year KSU Enrollment1998 12,8611999 13,1582000 13,373 2001 13,9512002 15,6542003 17,4852004 17,9612005 18,5562006 19,8542007 20,6072008 21,4492009 22,3892010 23,4522011 24,175
Sources: http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/documents/pdf/FB1997_1998.pdf http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/
Year KSU Enrollment1970 1,5701971 1,7731972 1,8481973 2,0311974 2,2411975 3,0981976 3,2111977 3,4441978 3,8251979 4,1341980 3,9031981 4,1951982 4,7991983 5,383
Year KSU Enrollment1984 5,8211985 6,8661986 7,2961987 7,9461988 8,6141989 9,1401990 10,0301991 10,9131992 11,6701993 12,2731994 11,9151995 12,1001996 12,5371997 13,094
Year KSU Enrollment1998 12,8611999 13,1582000 13,373 2001 13,9512002 15,6542003 17,4852004 17,9612005 18,5562006 19,8542007 20,6072008 21,4492009 22,3892010 23,4522011 24,175
Sources: http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/documents/pdf/FB1997_1998.pdf http://vic.kennesaw.edu/EIMWebApps/vic/fact_books/
Practice
Answer each of the following questions about the function M = M(y). Show work.
1. Explain the meaning of M(1975) and give its value.
2. Estimate the value of M(1968).
3. What was the average rate of change in the number of murders from 1970 and 1975?
4. Use your answer to question 3 to estimate the number of murders in the U.S. in 1973.
The table at the right shows the number of murders reported in the United States in the years listed. Assume that the number of murders in the United States rose uniformly from 1962 through 1980.
y =Year M = Number of Murders in the U.S.
1962 8,530
1966 11,040
1970 17,780
1975 20,510
1980 23,040
1985 18,980 Source: http://www.disastercenter.com/crime/uscrime.htm
Practice
Answer each of the following questions about the function M = M(y). Show work.
1. Explain the meaning of M(1975) and give its value.
2. Estimate the value of M(1968).
3. What was the average rate of change in the number of murders from 1970 and 1975?
4. Use your answer to question 3 to estimate the number of murders in the U.S. in 1973.
The table at the right shows the number of murders reported in the United States in the years listed. Assume that the number of murders in the United States rose uniformly from 1962 through 1980.
M(1975) represents the number of murders in the U.S. in 1975. M(1975) = 20,510
M(1968) 14,410
The average rate of change from 1970 and 1975 was 546 murders per year.
The number of murders in the U.S. in 1973 was approximately 19,418.
y =Year M = Number of Murders in the U.S.
1962 8,530
1966 11,040
1970 17,780
1975 20,510
1980 23,040
1985 18,980 Source: http://www.disastercenter.com/crime/uscrime.htm
Practice
Answer each of the following questions about the function M = M(y). Show work.
1. Explain the meaning of M(1975) and give its value.
2. Estimate the value of M(1968).
3. What was the average rate of change in the number of murders from 1970 and 1975?
4. Use your answer to question 3 to estimate the number of murders in the U.S. in 1973.
5. What was the average rate of change in the number of murders from 1980 and 1985.
The table at the right shows the number of murders reported in the United States in the years listed. Assume that the number of murders in the United States rose uniformly from 1962 through 1980.
M(1975) represents the number of murders in the U.S. in 1975. M(1975) = 20,510
M(1968) 14,410
The average rate of change from 1970 and 1975 was 546 murders per year.
The number of murders in the U.S. in 1973 was approximately 19,418.
y =Year M = Number of Murders in the U.S.
1962 8,530
1966 11,040
1970 17,780
1975 20,510
1980 23,040
1985 18,980
The average rate of change from 1980 and 1985 was -812.The average rate of decrease is 812 murders per year.
Answers to even-numbered HW problems S-8 20.7
Ex 8 a) A(75) means the temperature of a piece of aluminum 75 minutes after it has been removed from the oven. A(75) = 90.5
b) The average decrease per minute is 5
c) The average decrease per minute is .63
d) The rate of cooling is slowing down as the aluminum cools and its temperature approaches room temperature.
e) A(73) = 91.8
f) The temperature of the oven is A(0) = 302.
Ex 10 a)
Section 1.2
t = year B = Vaue
1996 615.9
1999 769.5
2002 876.8
2005 1143.7
51.2
35.8
89.0
b) B(2004) means the number of billions of dollars in new construction in the U.S. in the year 2004. B(2004) = 1,054.8 billion.
c) 2002 – 2005 d) 2005
S = Standing Time
(in minutes)
T = Temperature
(in degrees Fahrenheit)
0 32
3 45
6 56
9 65
12 73
15 78
18 82
21 83.5
24 84
27 84
Trends and Limiting Values
Here, the limiting value appears to be approximately 84.
The limiting value of a function (if there is one) is a number that the function (output) values appear to get closer to as the input values get larger and larger.
• As a graph
Last class we said:
A function can be represented in several ways, including: As a formula
As a set of number pairs
As a table
As an arrow diagram
Year Number of Deaths
Year Number of Deaths
1981 128 1988 21,040
1982 460 1989 27,691
1983 1,501 1990 31,402
1984 3,497 1991 36,307
1985 6,961 1992 40,516
1986 12,056 1993 42,992
1987 16,336 1994 46,050
Source: United States Centers for Disease Control and Prevention, HIV/AIDS Surveillance Report, Year-End Edition 1995
Year Number of Deaths
1995 47,414
1996 38,074
1997 21,846
1998 19,005
1999 18,491
2000 17,139
Number of Deaths from AIDS in the United States by Year
Represent the relationship between the year and the number of AIDS deaths by D = D(y), where y = the year, and D = the number of deaths.
Year Number of Deaths
Year Number of Deaths
1981 128 1988 21,040
1982 460 1989 27,691
1983 1,501 1990 31,402
1984 3,497 1991 36,307
1985 6,961 1992 40,516
1986 12,056 1993 42,992
1987 16,336 1994 46,050
Year Number of Deaths
1995 47,414
1996 38,074
1997 21,846
1998 19,005
1999 18,491
2000 17,139
Number of Deaths from AIDS in
the United States by Year
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
19 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 2000
y = year
D(y
) =
num
ber
of d
eath
s
12,056
Year Number of Deaths
Year Number of Deaths
1981 128 1988 21,040
1982 460 1989 27,691
1983 1,501 1990 31,402
1984 3,497 1991 36,307
1985 6,961 1992 40,516
1986 12,056 1993 42,992
1987 16,336 1994 46,050
Year Number of Deaths
1995 47,414
1996 38,074
1997 21,846
1998 19,005
1999 18,491
2000 17,139
Number of Deaths from AIDS in
the United States by Year
D(1986) = 12,056
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
19 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 2000
y = year
D(y
) =
num
ber
of d
eath
s
Year Number of Deaths
Year Number of Deaths
1981 128 1988 21,040
1982 460 1989 27,691
1983 1,501 1990 31,402
1984 3,497 1991 36,307
1985 6,961 1992 40,516
1986 12,056 1993 42,992
1987 16,336 1994 46,050
Year Number of Deaths
1995 47,414
1996 38,074
1997 21,846
1998 19,005
1999 18,491
2000 17,139
Number of Deaths from AIDS in
the United States by Year
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
19 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 2000
Number of Deaths from AIDS in the United States by Year
y = year
D(y
) =
num
ber
of d
eath
s
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
19 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 2000
Number of Deaths from AIDS in the United States by Year
y = year
D(y
) =
num
ber
of d
eath
s
Questions:
1. Use the graph to estimate the value of D(1991) and explain its meaning.
D(1991) means the number of deaths due to AIDS in the U.S. in 1991. From the graph, D(1991) is approximately 36,000.
Year Number of Deaths
Year Number of Deaths
1981 128 1988 21,040
1982 460 1989 27,691
1983 1,501 1990 31,402
1984 3,497 1991 36,307
1985 6,961 1992 40,516
1986 12,056 1993 42,992
1987 16,336 1994 46,050
●
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
19 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 2000
Number of Deaths from AIDS in the United States by Year
y = year
D(y
) =
num
ber
of d
eath
s
The maximum number of AIDS deaths occurred in 1995 and was approximately 47,500.
●
Questions:
2. In what year did the maximum number of AIDS deaths occur and what was that number?
Year Number of Deaths
1995 47,414
1996 38,074
1997 21,846
1998 19,005
1999 18,491
2000 17,139
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
10,000
5,000
19 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 2000
Number of Deaths from AIDS in the United States by Year
y = year
D(y
) =
num
ber
of d
eath
s
The number of AIDS deaths decreased from 1995 to 2000.
Questions:
3. During which years were the number of AIDS deaths decreasing? Between what 2 years was the decrease most rapid?
The most rapid decrease was between 1995 and 1997.
Stock Market Performance The Dow Jones Industrial
Average
Properties of graphs:
• Increasing or decreasing
• Concavity
• Points of Inflection
2000 2001 2002 2003 2004 2005 2006 2007 2008
y = year
Dow
Jon
es A
vera
ge
(in t
hous
ands
of
dol
lars
)
10
11
12
13
9
It is an index that shows how 30 large, publicly owned companies based in the United States have traded during a standard trading session in the stock market.
2000 2001 2002 2003 2004 2005 2006 2007 2008
y = year
Dow
Jon
es A
vera
ge
(in t
hous
ands
of
dol
lars
)
10
11
12
13
9
Stock Market Performance The Dow Jones Industrial
Average
Properties of graphs:
• Increasing or decreasing
The function increases from 2000 to 2001, and from 2004 to 2008,
The function decreases from 2001 to 2004 and after 2008.
Stock Market Performance The Dow Jones Industrial
Average
9,200
12,000
To determine when increase (or decrease) is more rapid over equal time periods, compare the change in value.
Change in value:
2000-01 12,000 – 9,000 = $3,000
2000 2001 2002 2003 2004 2005 2006 2007 2008
y = year
Dow
Jon
es A
vera
ge
(in t
hous
ands
of
dol
lars
)
10
11
12
13
11,000
9
During which years was the Dow Jones increasing more rapidly – from 2000 to 2001 or from 2005 to 2006?
2005-06 11,000 – 9,200 = $1,800
Stock Market Performance The Dow Jones Industrial
Average
9,200
2000 2001 2002 2003 2004 2005 2006 2007 2008
y = year
Dow
Jon
es A
vera
ge
(in t
hous
ands
of
dol
lars
)
10
11
12
13
11,000
9
During which years was the Dow Jones increasing more rapidly – from 2005 to 2006 or from 2006 to 2008?
13,300
Change in value:
2005-06 800,1200,9000,11
2006-08 300,2000,11300,13
Stock Market Performance The Dow Jones Industrial
Average
9,200
2000 2001 2002 2003 2004 2005 2006 2007 2008
y = year
10
11
12
13
11,000
9
During which years was the Dow Jones increasing more rapidly – from 2005 to 2006 or from 2006 to 2008?
To determine when increase (or decrease) is more rapid regardless of the time interval, compute the average rate of change for each interval. The interval with the larger average rate of change is increasing (or decreasing) more rapidly.
13,300
Average rate of change:
2005-06 800,11
200,9000,11
2006-08 150,12
000,11300,13
Average weekly gas prices in the Metro Atlanta area from May 1, 2008 – Nov 1, 2008
Week
Price per
Gallon in
Dollars
2.60
2.80
3.00
3.20
3.40
3.60
3.80
4.00
4.10
4.20
2 4 6 8 10 12 14 16 18 20 22 24
Properties of graphs:
Concavity
or
This section is Concave up
or
This section is Concave down
Point of Inflection
Stock Market Performance The Dow Jones Industrial
Average
2000 2001 2002 2003 2004 2005 2006 2007 2008
y = year
Dow
Jon
es A
vera
ge
(in t
hous
ands
of
dol
lars
)
10
11
12
13
9
Does this graph have a point of inflection?
Homework:
Read Section 1.3 (omit pages 69-74)
Page 75 # S-1 through S-10
Pages 76–79 # 2, 5, 11