Algebra Quiz

Math 107 Quiz 5 Summer 2017 Professor: Jose R. Martinez Castillo Name________________________________ By signing my name above, I certify that I have completed this assignment individually,

working independently and not consulting anyone except the instructor.

Instructions:

• The quiz is worth 100 points. There are 11 problems, the value of each is indicated on the problem. Problem 11 is for Extra Credit, and is optional. Your score on the quiz will posted in your assignment folder with comments.

• QUIZ 4 is based on Chapter 3 of the “College Algebra, 3rd Corrected Edition” text. This quiz is open book and open notes. You may refer to your textbook, notes, and online classroom materials, but you may not consult anyone. You may take as much time as you wish, provided you turn in your quiz no later than Sunday, October 8.

• Please type your work in your copy of the quiz, or if you prefer, create a document containing your work. Scanned work is also acceptable. Be sure to include your name in the document. You can also use your graphing calculator.

• If you have any questions, please contact me by e-mail (Jose.Martinezcastillo@faculty.umuc.edu).

 

1. (4 pts) Which of these graphs represent a one-to-one function? Answer(s): ____________ (no explanation required.) (There may be more than one graph that qualifies.)

(A)

 

(B)

 

(C)

 

 

(D)

 

 

 

 

 

2. (6 pts) Students in a math class took a final exam (with a grade scale of 0 to 100) and then took equivalent forms of the exam at monthly intervals thereafter. The average grade g after t

months was found to be given by the function g(t) = 76  5.6 ln(t + 1), t  0. (Note that “ln” refers to the natural log function) (explanation optional) Using the model, (a) What was the average grade when the students initially took the exam, when t = 0? (b) What was the average grade on the exam when taken 4 months later, to the nearest integer? 3. (4 pts) Convert to a logarithmic equation: 4x = 128. (no explanation required) 3. ______

 

A. log4 𝑥 = 128

B. log𝑥 4 = 128

C. log𝑥 128 = 4

D. log4 128 = 𝑥

 

 

 

 

4. (8 pts) Solve the equation. Check all proposed solutions. Show work in solving and in checking, and state your final conclusion.

√𝑥 − 3 = 𝑥 − 5

 

 

5. (8 pts) (a) log3 1 =_______ (fill in the blank)

(b) Let 𝑥 = log3 1

729 State the exponential form of the equation.

 

(c) Determine the numerical value of log3 1

729 , in simplest form. Work optional.

 

6. (10 pts) Let f (x) = 4×2 – 6x – 5 and g(x) = 2 – 3x (a) Find the composite function (𝑓 𝑜 𝑔)(𝑥) and simplify the results. Show work. (b) Find (𝑓 𝑜 𝑔)(−1) . Show work.

 

 

7. (16 pts) Let 𝑓(𝑥) = 6𝑥 − 1

2𝑥 + 7

 

(a) Find f  1 , the inverse function of f. Show work. (b) What is the domain of f ? What is the domain of the inverse function? (c) What is f (– 4) ? f (– 4) = ______ work/explanation optional

(d) What is f  1 ( ____ ), where the number in the blank is your answer from part (c)? work/explanation optional

 

 

8. (18 pts) Let f(x) = 2e – x + 1. Answers can be stated without additional work/explanation.

(a) Which describes how the graph of f can be obtained from the graph of y = ex ? Choice: ________

A. Shift the graph of y = e x to the left by 1 unit and shift upward by 1 unit.

B. Shift the graph of y = e x to the right by 1 unit, stretch vertically by a factor of 2, and shift upward by 1 unit. C. Reflect the graph of y = e x across the x-axis, stretch vertically by a factor of 2, and shift upward by 1 unit.

D. Reflect the graph of y = e x across the y-axis, stretch vertically by a factor of 2, and shift by 1 unit. (b) What is the domain of f ? (c) What is the range of f ? (d) What is the y-intercept? (e) What is the horizontal asymptote? (f) Which is the graph of f ?

 

 

GRAPH A GRAPH B GRAPH C GRAPH

D

 

 

NONLINEAR MODELS – For the latter part of the quiz, we will explore some nonlinear models. 9. (18 pts) QUADRATIC REGRESSION Data: On a particular fall day, the outdoor temperature was recorded at 8 times of the day. The parabola of best fit was determined using the data. Quadratic Polynomial of Best Fit:

y = 0.12t2 + 3.96t + 31.63 for 0  t  24 where t = time of day (in hours) and y = temperature (in degrees)

 

 

REMARKS: The times are the hours since midnight. For instance, t = 6 means 6 am. t = 22 means 10 pm. t = 18.25 hours means 6:15 pm (a) Use the quadratic polynomial to estimate the outdoor temperature at 7:30 am, to the nearest tenth of a degree. (work optional)

(b) Using algebraic techniques we have learned, find the maximum temperature predicted by the quadratic model and find the time when it occurred. Report the time to the nearest quarter hour (i.e., __:00 or __:15 or __:30 or __:45). (For instance, a time of 18.25 hours is reported as 6:15 pm.) Report the maximum temperature to the nearest tenth of a degree. Show algebraic work.

 

 

(c) Use the quadratic polynomial y = 0.12t2 + 3.96t + 31.63 together with algebra to estimate the time(s) of day when the outdoor temperature y was 60 degrees.

That is, solve the quadratic equation 60 = 0.12t2 + 3.96t + 31.63. Show algebraic work in solving. Round the results to the nearest tenth. Write a concluding sentence to report the time(s) to the nearest quarter-hour, in the usual time notation. (Use more paper if needed)

 

10. (8 pts) + (extra credit at the end) EXPONENTIAL REGRESSION Data: A cup of hot coffee was placed in a room maintained at a constant temperature of 73 degrees, and the coffee temperature was recorded periodically, in Table 1. TABLE 1

t = Time Elapsed (minute s)

C = Coffee Temperatu re (degrees F.)

0 170.0

10 144.5

20 129.2

30 114.3

40 108.5

50 102.4

60 97.9

REMARKS: Common sense tells us that the coffee will be cooling off and its temperature will decrease and approach the ambient temperature of the room, 73 degrees. So, the temperature difference between the coffee temperature and the room temperature will decrease to 0. We will fit the temperature difference data (Table 2)

to an exponential curve of the form y = A ebt. Notice that as t gets large, y will get closer and closer to 0, which is what the temperature difference will do. So, we want to analyze the data where t = time

elapsed and y = C  73, the temperature difference between the coffee temperature and the room temperature.

TABLE 2

t = Time Elapsed (minute s)

y = C  73 Temperatu re Difference (degrees F.)

0 97.0

10 71.5

20 56.2

30 41.3

40 35.5

50 29.4

60 24.9

 

 

 

Exponential Function of Best Fit (using the data in Table 2):

y = 89.976 e  0.023 t where t = Time Elapsed (minutes) and y = Temperature Difference (in degrees) (a) Use the exponential function to estimate the temperature difference y when 35 minutes have elapsed. Report your estimated temperature difference to the nearest tenth of a degree. (explanation/work optional)

(b) Since y = C  73, we have coffee temperature C = y + 73. Take your difference estimate from part (a) and add 73 degrees. Interpret the result by filling in the blank: When 35 minutes have elapsed, the estimated coffee temperature is ________ degrees.

 

(c) Suppose the coffee temperature C is 140 degrees. Then y = C  73 = ____ degrees is the temperature difference between the coffee and room temperatures.

(d) Consider the equation _____ = 89.976 e  0.023t where the ____ is filled in with your answer from part (c).

 

 

y = 89.976e-0.023t

R² = 0.9848

0

20

40

60

80

100

120

0 10 20 30 40 50 60 70

T e

m p

e ra

tu re

D if

fe re

n ce

( d

e g

re e

s)

Time Elapsed (minutes)

Temperature Difference between Coffee and Room

 

 

EXTRA CREDIT (5 pts): 11. Show algebraic work to solve this part (d) equation for t, to the nearest tenth. Interpret your results clearly in the context of the coffee application. [Use additional paper if needed. End of quiz: please remember to sign and date the honor statement in the box on the first page of the quiz.

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