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Statistics Exercises: Probability Distributions and Expected Values, Ejercicios de Estadística Económica

Statistics exercises from a statistics ii course. The exercises cover various topics such as probability functions, expected values, variances, standard deviations, and normal distributions. Students are asked to calculate probabilities, means, standard deviations, and expected profits for different scenarios.

Tipo: Ejercicios

2019/2020

Subido el 14/10/2020

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Statistics II
Exercises Lesson 0
1. A company is estimating the costs to complete a project, that are divided into two groups: a fixed
cost of 48000 euros and a variable cost of 6500 euros per month of project duration.
The duration of the project is not known in advance, but the company estimates that it may vary
between 3 and 6 months, with probabilities given in the following table:
Duration (D) 3 4 5 6
Probability 0.2 0.3 0.25 0.25
Calculate:
a) The probability function for the total cost of the project.
b) The expected value of the total cost.
c) Its variance and standard deviation.
d) The probability that the cost will exceed 80000 euros
2. A company makes nuts and bolts that are sold in packages with a number of nuts and bolts in each
package that follows the distribution given in the table below:
Number (N) 98 99 100 101 102
Probability 0.1 0.2 0.4 0.15 0.15
Calculate:
a) The probability that a package contains less than 100 nuts and bolts.
b) If two packages are selected randomly, which is the probability that at least one of them will
contain less than 100 nuts and bolts?
c) Compute the mean and the standard deviation for the number of nuts and bolts in a package.
d) If manufacturing one package has a fixed cost of 0,4 euros and a variable cost of 0,005 euros
per each nut and bolt, and the sales price is 1,2 euros, which is the expected value for the
profit of selling one package? And its standard deviation?
3. The demand for a given product the coming month can be approximated as a normal random
variable with mean 850 units and standard deviation equal to 75 units.
Calculate:
a) The probability that the demand during the coming month will be less than 800 units.
b) The probability that the demand will be a value between 825 and 925 units.
c) If the unit profit for each unit sold is 2 euros and the number of units sold is equal to the
demand, which is the expected value of the total profit? What is the variance of the total
profit?
d) What is the probability that the total profit will exceed 1500 euros?
e) Which is the value of the total profit that has a probability of being exceeded equal to 10 %?
4. A company purchases a commodity from two suppliers. The level of defective product in the deli-
veries from both suppliers is assumed to follow normal distributions with parameteres gien in the
following table:
Mean Variance
Supplier 1 4,6 0,49
Supplier 2 5,1 0,16
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Statistics II

Exercises Lesson 0

  1. A company is estimating the costs to complete a project, that are divided into two groups: a fixed cost of 48000 euros and a variable cost of 6500 euros per month of project duration. The duration of the project is not known in advance, but the company estimates that it may vary between 3 and 6 months, with probabilities given in the following table:

Duration (D) 3 4 5 6 Probability 0.2 0.3 0.25 0.

Calculate:

a) The probability function for the total cost of the project. b) The expected value of the total cost. c) Its variance and standard deviation. d ) The probability that the cost will exceed 80000 euros

  1. A company makes nuts and bolts that are sold in packages with a number of nuts and bolts in each package that follows the distribution given in the table below:

Number (N ) 98 99 100 101 102 Probability 0.1 0.2 0.4 0.15 0.

Calculate:

a) The probability that a package contains less than 100 nuts and bolts. b) If two packages are selected randomly, which is the probability that at least one of them will contain less than 100 nuts and bolts? c) Compute the mean and the standard deviation for the number of nuts and bolts in a package. d ) If manufacturing one package has a fixed cost of 0,4 euros and a variable cost of 0,005 euros per each nut and bolt, and the sales price is 1,2 euros, which is the expected value for the profit of selling one package? And its standard deviation?

  1. The demand for a given product the coming month can be approximated as a normal random variable with mean 850 units and standard deviation equal to 75 units. Calculate:

a) The probability that the demand during the coming month will be less than 800 units. b) The probability that the demand will be a value between 825 and 925 units. c) If the unit profit for each unit sold is 2 euros and the number of units sold is equal to the demand, which is the expected value of the total profit? What is the variance of the total profit? d ) What is the probability that the total profit will exceed 1500 euros? e) Which is the value of the total profit that has a probability of being exceeded equal to 10 %?

  1. A company purchases a commodity from two suppliers. The level of defective product in the deli- veries from both suppliers is assumed to follow normal distributions with parameteres gien in the following table:

Mean Variance Supplier 1 4,6 0, Supplier 2 5,1 0,

a) If the company wishes to have just one supplier, the one providing deliveries with the highest probability of having a level of defective product smaller than 5.5, which provider should be chosen? b) If the costs for the company to process each delivery are proportional to the level of defective product N , according to the expression 25 + 3N , what is the expected value of this processing cost for each of the suppliers? And the standard deviation?

  1. The housing price for new houses of a certain size in a given city is assumed to follow a normal distribution with mean 230.000 euros and standard deviation 55.000 euros. We have obtained a (simple) random sample of 64 housing prices for new houses in the city. Calculate:

a) The probability that the sample mean for the prices will be larger than 240.000 euros b) The probability that the sample mean will take a value between 220.000 and 235.000 euros c) If the sample size would increase to 100 prices while the remaining values would stay unchanged, how would the answers to the preceding questions change?

  1. The grades in a subject with a large number of enrolled students are assumed to follow a normal distribution with mean equal to 6.7 and standard deviation 1.5. Calculate:

a) The proportion of students with grades higher than 5. b) The minimum grade required to be above the 20 % of students with lowest grades. c) For a group of 36 students (whose grades we assume are a simple random sample), which is the probability that the mean grade for the group is larger than 7? d ) Consider now the mean grades for two groups of 36 and 25 students respectively (whose grades are assumed to be independent and each group are assumed to be simple random samples). Which is the probability that the difference between the mean grade for the first group and the mean grade for the second group is larger than 0.5?

  1. A degree offered in a University has 750 registered students. Out of them, 120 take their notebook to class on a regular basis. A simple random sample of 121 students from the degree is selected. Calculate:

a) The standard deviation of the proportion of students in the sample that take their notebook regularly to class. b) The probability that the proportion of students in the sample taking their notebook to class is smaller than 0. c) If during the next semester it is observed that the number of students taking the degree and carrying the notebook to class regularly has increased to 180, what would be the modified answers to the preceding questions?

  1. In a company it has been observed that 15 % of its payments due are delayed more than one month. If a simple random sample of 64 payments due is taken, you are asked to calculate:

a) The probability that the sample includes at least 5 payments delayed more than one month. b) The probability that the number of delayed payments is between 4 and 10. c) What is the probability that the proportion of delayed payments in the sample is less than 16 %?