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You are working as a Junior Engineer for a small motor racing team. You have been given a proposed mathematical model to calculate the velocity of a car accelerating from rest in a straight line. The equation is: 𝑣(𝑡) = 𝐴 (1 − 𝑒 − 𝑡 𝑡𝑚𝑎𝑥𝑠𝑝𝑒𝑒𝑑)


Ascari A10 5.0 V8 - [2006] t=2.8 tm(400)= 10.36 tmaxspeed= 7.8


derive an equation a(t) for the instantaneous position of the car as a function of time? Identify the acceleration of the car at t = 0s and asymptote of this function as t → ∞?


What is the value of a1 for the recurrence relation in item 8? (refer to choices in item 7?




How many substrings can be formed from the string SOFTWARES contain the string SOFT together in any order?




How many strings of length 4 can be formed using the letters ABCDE if it starts with letters AC and repetition is not



allowed?



2. There are 10 multiple choice questions in an examination. Each of the questions have four choices. In how many ways



can an examinee give possible answers?



B. BINOMIAL COEFFICIENTS



Expand 2� + 4�



4 using the binomial theorem. (10 pts)



C. PIGEONHOLE PRINCIPLE (5 pts) . Explain briefly. Do you agree that there are 3 persons who have the same first and last name? Why and why not?

2. Survey tests on leadership skills and self-concept were administered to student-leaders.

Both tests use a 10-point Likert Scale, with 10 indicating the highest scores for each test.

Scores for the student-leaders on the tests follow:

Student Code: A B C D E F G H I J

Self-concept : 9.5 9.2 6.3 4.1 5.4 8.3 7.8 6.8 5.6 7.1

Leadership Skill :9.2 8.8 7.3 3.4 6.0 7.8 8.8 7.0 6.5 8.3


a. Compute the correlation coefficient r.

b. Interpret the results in terms of (a) strength and (b) direction of correlation.

c. Find the regression line that will predict the leadership skill if the self-

concept score is known.

d. Predict the leadership skill of a student leader whose self-concept skill is

1.5.


A student conducted a regression analysis between the math grades of his classmates

and the number of times they were absent in the subject. He found that the regression

line y = 97.732 – 2.61x will predict grade (y) if the number of absences (x) is known.

a) What is the predicted grade of a student who has no absences?

b) What is the predicted grade of a student who has ten absences?

c) Sketch the graph of the line predictor.


At the beginning of the first day (day 1) after grape harvesting is completed, a grape grower has 8000 kg of grapes in storage. On day n, for n = 1, 2, . . . , the grape grower sells 250n/(n + 1) kg of the grapes at the local market at the price of $2.50 per kg. He leaves the rest of the grapes in storage where each day they dry out a little so that their weight decreases by 3%. Let wn be the weight (in kg) of the stored grapes at the beginning of day n for n ≥ 1 (before he takes any to the market).




(a) Find the value of wn for n = 2.




(b) Find a recursive definition for wn. (You may find it helpful to draw a timeline.)




(c) Let rn be the total revenue (in dollars) earned from the stored grapes from the beginning of day 1 up to the beginning of day n for n ≥ 1. Find a recursive formula for rn.











Suppose that the bank customers arrive randomly and independently on an average of 3.2




customers every 4 minutes. What is the probability that:




a. Exactly two customers arrive in every 4 minutes?

At a certain college, it is estimated that approximately 19% of the students ride bicycles to school. Would you consider this to be valid estimate if, in a random sample of 85 college students, 20 are found to ride bicycles to class

A random sample of 20 drinks from a soft-drink machine has an average content of 21.9 deciliters, with a standard deviation of 1.42 deciliters. At 0.05 level of significance, test the hypothesis that μ = 22. 2 against the alternative hypothesis μ < 22.2. Assume that the distribution is normal.


A researcher claims that 13% of all motorcycle helmets have manufacturing flaws that could potentially cause injury to the wearer. A sample of 150 of these helmets revealed that 18 contained such defects.

A random sample of 20 drinks from a soft-drink machine has an average content of 21.9 deciliters, with a standard deviation of 1.42 deciliters. At 0.05 level of significance, test the hypothesis that μ = 22. 2 against the alternative hypothesis μ < 22.2. Assume that the distribution is normal.


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