APPLIED STAT.IN BUS.+ECONOMICS
APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Chapter 7, Problem 117CE

a.

To determine

Compute the mean.

a.

Expert Solution
Check Mark

Answer to Problem 117CE

The mean is approximately $1,100K.

Explanation of Solution

Calculation:

It is given that the distribution of beach condominium prices (in $ thousands) follows triangular distribution with lower limit 500, mode 700 and upper limit of 2,100, that is, T(500,700,2,100).

Triangular distribution:

A continuous random variable X is said to follow triangular distribution if the probability density function of X is,

f(x)={2(xa)(ba)(ca)       foraxb2(cx)(ca)(cb)       forbxc ,

where a, b and c are the lower limit, mode and upper limit, respectively.

Mean of a Triangular distribution is defined as,

μ=a+b+c3.

It is given that, a=500, b=700 and c=2,100.

Thus, the mean of the Triangular distribution is,

μ=500+700+2,1003=3,3003=1,100_.

Therefore, the mean is $1,100K.

b.

To determine

Compute the standard deviation.

b.

Expert Solution
Check Mark

Answer to Problem 117CE

The standard deviation is $355.90K.

Explanation of Solution

Calculation:

The standard deviation of a Triangular distribution is defined as,

σ=a2+b2+c2abacbc18.

It is given that, a=500, b=700 and c=2,100.

Thus, the standard deviation of the Triangular distribution is,

σ=a2+b2+c2abacbc18=5002+7002+2,1002(500)(700)(500)(2,100)(700)(2,100)18=250,000+490,000+4,410,000350,0001,050,0001,470,00018=2,280,00018=126,666.67355.90_.

Therefore, the standard deviation of the Triangular distribution is $355.90K.

c.

To determine

Compute the probability that a condo price will be greater than $750K.

c.

Expert Solution
Check Mark

Answer to Problem 117CE

The probability that condo price will be greater than $750K is 0.8136.

Explanation of Solution

Calculation:

The cumulative distribution function (CDF) of a Triangular distribution is defined as,

P(Xx)={(xa)2(ba)(ca)for axb1(cx)2(ca)(cb)for bxc .

Assume that the random variable X denotes the beach condominium prices.

It is given that, a=500, b=700, c=2,100 and x=750.

Hence, the CDF of the Triangular distribution will be,

P(Xx)=1(cx)2(ca)(cb)for bxc.

Thus, the probability that condo price will be greater than $750K is,

P(X>750)=(2,100750)2(2,100500)(2,100700)=1,3502(1,600)(1,400)=1,822,5002,240,000=0.8136_.

Therefore, the probability that condo price will be greater than $750K is 0.8136.

d.

To determine

Draw the distribution and shade the area for the event in part (c).

d.

Expert Solution
Check Mark

Answer to Problem 117CE

The shaded sketch is obtained as:

APPLIED STAT.IN BUS.+ECONOMICS, Chapter 7, Problem 117CE , additional homework tip  1

Explanation of Solution

Calculation:

It is given that, a=500, b=700 and c=2,100.

Graphical Procedure:

Step by step procedure to obtain the sketch is given below:

  • Draw a right skewed triangle with base from the lower limit 500 to upper limit 2,100 and with the height at the mode of 700.
  • Shade the right side area from the mode of 750.

The shaded sketch is obtained as:

APPLIED STAT.IN BUS.+ECONOMICS, Chapter 7, Problem 117CE , additional homework tip  2

The shaded area in the sketch is the event in part (c).

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Chapter 7 Solutions

APPLIED STAT.IN BUS.+ECONOMICS

Ch. 7.3 - If all normal distributions have the same shape,...Ch. 7.3 - (a) At what x value does f (x) reach a maximum for...Ch. 7.3 - State the Empirical Rule for a normal distribution...Ch. 7.3 - Discuss why you would or would not expect each of...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Bobs exam score was 2.17 standard deviations above...Ch. 7.4 - Joans finishing time for the Bolder Boulder 10K...Ch. 7.4 - Find the associated z-score for each of the...Ch. 7.4 - Prob. 23SECh. 7.4 - Find the associated z-score or scores that...Ch. 7.4 - Prob. 25SECh. 7.4 - High school students across the nation compete in...Ch. 7.4 - Prob. 27SECh. 7.4 - Suppose X N(56, 4). Write the Excel function to...Ch. 7.4 - Suppose the volume of liquid soap (X) in a...Ch. 7.4 - Daily output of Marathons Garyville, Lousiana,...Ch. 7.4 - Assume that the number of calories in a McDonalds...Ch. 7.4 - The weight of a miniature Tootsie Roll is normally...Ch. 7.4 - The pediatrics unit at Carver Hospital has 24...Ch. 7.4 - The cabin of a business jet has a cabin height 5...Ch. 7.4 - On January 1, 2011, a new standard for baseball...Ch. 7.4 - Last years freshman class at Big State University...Ch. 7.4 - Suppose X N(56, 4). 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Each...Ch. 7 - The probability that a certain kind of flower seed...Ch. 7 - Prob. 109CECh. 7 - Prob. 110CECh. 7 - Prob. 111CECh. 7 - Automobile warranty claims for engine mount...Ch. 7 - Prob. 113CECh. 7 - Prob. 114CECh. 7 - The price (dollars per 1,000 board feet) of...Ch. 7 - Prob. 116CECh. 7 - Prob. 117CECh. 7 - (a) Write an Excel formula to generate a random...Ch. 7 - (a) Write an Excel formula to generate a random...Ch. 7 - On a police sergeants examination, the historical...Ch. 7 - Which type of probability (empirical, classical,...Ch. 7 - For the following contingency table, find (a) P(H ...Ch. 7 - If P(A) = .30, P(B) = .70, and P(A B) = .25, are...Ch. 7 - Prob. 4ERQCh. 7 - Which statement is true? Why not the others? a....Ch. 7 - Prob. 6ERQCh. 7 - Assuming independent arrivals with a mean of 2.5...Ch. 7 - If a random experiment whose success probability...Ch. 7 - In a random experiment with 50 independent trials...Ch. 7 - Prob. 10ERQCh. 7 - Prob. 11ERQCh. 7 - Prob. 12ERQCh. 7 - Prob. 13ERQCh. 7 - Prob. 14ERQCh. 7 - Prob. 15ERQCh. 7 - Prob. 16ERQCh. 7 - If arrivals follow a Poisson distribution with...Ch. 7 - In the previous problem, find (a) the 95th...Ch. 7 - Which statement is correct concerning the normal...Ch. 7 - Prob. 20ERQ
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