Example 5 Marijuana Use Chapter 3.2 For the years 1991 through 2006, the percent p of high school...
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Transcript of Example 5 Marijuana Use Chapter 3.2 For the years 1991 through 2006, the percent p of high school...
example 5 Marijuana Use
Chapter 3.2
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
b. Verify the solution(s) numerically. (Source: National Institute on Drug Abuse)
20.1967 4.0630 27.7455p t t
2009 PBLPathways
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
b. Verify the solution(s) numerically. (Source: National Institute on Drug Abuse)
20.1967 4.0630 27.7455p t t
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
20.1967 4.0630 27.7455p t t
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
y2
y1
t
p
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
y2
y1
t
p
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
(3.67, 40) (16.99, 40)
y2
y1
t
p
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
a. Find the year(s) after 1995 during which the percent is predicted to be 40, using a graphical method.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
(3.67, 40) (16.99, 40)
y2
y1
X
t
p
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
b. Verify the solution(s) numerically.
20.1967 4.0630 27.7455p t t
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
b. Verify the solution(s) numerically.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
t y1 y2
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
b. Verify the solution(s) numerically.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
t y1 y2
14
15
16
17
18
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
b. Verify the solution(s) numerically.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
t y1 y2
14 46.074 40
15 44.433 40
16 42.398 40
17 39.97 40
18 37.149 40
2009 PBLPathways
For the years 1991 through 2006, the percent p of high school seniors who have triedmarijuana can be considered as a function of the time t according to the model
where t is the number of years after 1990.
b. Verify the solution(s) numerically.
20.1967 4.0630 27.7455p t t
2 1
240 0.1967 4.0630 27.7455y y
t t
t y1 y2
14 46.074 40
15 44.433 40
16 42.398 40
17 39.97 40
18 37.149 40