Preview

MAT 540 Week 5 Midterm Posting 1

Good Essays
Open Document
Open Document
850 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
MAT 540 Week 5 Midterm Posting 1
1. Deterministic techniques assume that no uncertainty exists in model parameters.
2. A continuous random variable may assume only integer values within a given interval.
3. A joint probability is the probability that two or more events that are mutually exclusive can occur simultaneously.
4. A decision tree is a diagram consisting of circles decision nodes, square probability nodes, and branches
5. Starting conditions have no impact on the validity of a simulation model.
6. A table of random numbers must be normally distributed and efficiently generated
7. Data cannot exhibit both trend and cyclical patterns.
8. Qualitative methods are the least common type of forecasting method for the long-term strategic planning process.
9. Assume that it takes a college student an average of 5 minutes to find a parking spot in the main parking lot. Assume also that this time is normally distributed with a standard deviation of 2 minutes. What time is exceeded by approximately 75% of the college students when trying to find a parking spot in the main parking lot?
10. In Bayesian analysis, additional information is used to alter the __________ probability of the occurrence of an event.
11. The __________ is the expected value of the regret for each decision.
12. Developing the cumulative probability distribution helps to determine
13. Consider the following frequency of demand: If the simulation begins with 0.8102, the simulated value for demand would be
14. A seed value is a(n)
15. Random numbers generated by a __________ process instead of a __________ process are pseudorandom numbers.
16. __________ is a measure of the strength of the relationship between independent and dependent variables.
17. Consider the following graph of sales. Which of the following characteristics is exhibited by the data?
18. Given the following data on the number of pints of ice cream sold at a local ice cream store for a 6-period time frame:
19. Which of the following possible values of

You May Also Find These Documents Helpful

  • Satisfactory Essays

    Mat 540 Week 1 Assignment

    • 405 Words
    • 2 Pages

    For step, one I generated a column of random numbers, which will help me to determine the weeks between breakdowns. I used the equation in excel =Rand( ). Next, I generated a column to determine the weeks between breakdowns. I used the formula in excel =8*SQRT(r) and used the previous mentioned randomly generated numbers. Once I had the randomly generated weeks, I created a column for the cumulative weeks to reach around the 52-week mark.…

    • 405 Words
    • 2 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Mat 221 Week 4 Assignment

    • 390 Words
    • 2 Pages

    Next I’ll evaluate the new expression by entering the figures provided in the assignment. P = $200 and r = 0.1 (10% equals 10/100 or 1/10):…

    • 390 Words
    • 2 Pages
    Satisfactory Essays
  • Satisfactory Essays

    MAT 540 Quiz 1

    • 1771 Words
    • 8 Pages

    If variable costs increase, but price and fixed costs are held constant, the break even point will decrease.…

    • 1771 Words
    • 8 Pages
    Satisfactory Essays
  • Powerful Essays

    Mat 540 Week 4

    • 4465 Words
    • 18 Pages

    15. If A and B are mutually exclusive events and S is the sample space such that P (A) = 1 P (B) and 3 S = A , B , then P (A) = (A) 1 4 (B) 1 2 (C) 3 4 (D) 3 8…

    • 4465 Words
    • 18 Pages
    Powerful Essays
  • Powerful Essays

    Math 540 Midterm

    • 1681 Words
    • 17 Pages

    In Bayesian analysis, additional information is used to alter the __________ probability of the occurrence of an event.…

    • 1681 Words
    • 17 Pages
    Powerful Essays
  • Satisfactory Essays

    | P(A | B) is the probability of event A, if we already know that event B has occurred.…

    • 2128 Words
    • 9 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Mat 540 Quiz

    • 759 Words
    • 4 Pages

    Information technology (IT) consists of all the hardware that a firm needs to use in order to…

    • 759 Words
    • 4 Pages
    Satisfactory Essays
  • Good Essays

    Q8 IM13DFinal

    • 1337 Words
    • 7 Pages

    b. The process appears to be in statistical control, because values are distributed randomly about the mean, all values lie within control limits, and there are no unusual patterns on the or s-charts.…

    • 1337 Words
    • 7 Pages
    Good Essays
  • Powerful Essays

    Conditional Probability

    • 1587 Words
    • 7 Pages

    Probability— the relative frequency or likelihood that a specific event will occur. If the event is A, then the probability that A will occur is denoted P(A). Example: Flip a coin. What is the probability of heads? This is denoted P(heads). Properties of Probability 1. The probability of an event E always lies in the range of 0 to 1; i.e., 0 ≤ P( E ) ≤ 1. Impossible event—an event that absolutely cannot occur; probability is zero. Example: Suppose you roll a normal die. What is the probability that you will get a seven? P(7) = 0. Sure event—an event that is certain to occur; probability is one. Example: Suppose you roll a normal die. What is the probability that you will get a number less than 7? P(a number less than 7) = 1. 2. The sum of the probabilities of all simple mutually exclusive events (or final outcomes) that can occur in a population or sample events in an expirement is always 1. Example: Suppose you flip two coins. What are the outcomes? HH, HT, TH, TT. This rule says that the probabilities of each of these outcomes should sum to one. That is, P(HH) + P(HT) + P(TH) + P(TT) = 1 Marginal and Conditional Probabilities Suppose the faculty at a local school were polled as to their agreement/disagreement with the following statement: Coaches should be paid more than regular classroom teachers. The following two-way (contingency) table contains the results. AGREE DISAGREE MALE 20 10 FEMALE 15 35 From such a table, we can compute two types of probability—marginal and conditional. First, you should add a row and column to the table for totals.…

    • 1587 Words
    • 7 Pages
    Powerful Essays
  • Satisfactory Essays

    Notes 6

    • 359 Words
    • 2 Pages

    6. Probabilities given by area under curve. Total area is 1. Half area is .5.…

    • 359 Words
    • 2 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Smu Question

    • 331 Words
    • 2 Pages

    3. a. Distinguish between PERT and CPM. What is a critical path? [ 5 marks]…

    • 331 Words
    • 2 Pages
    Satisfactory Essays
  • Best Essays

    LoW Power

    • 2819 Words
    • 12 Pages

    this paper presents the topologies of the implemented lownoise amplifiers. The discussion of the circuit design follows…

    • 2819 Words
    • 12 Pages
    Best Essays
  • Good Essays

    MSCI 609

    • 416 Words
    • 2 Pages

    reliability by minimizing random errors (increasing sample size). The input data used in the simulation will…

    • 416 Words
    • 2 Pages
    Good Essays
  • Satisfactory Essays

    1a. List any five circumstances when the simulation is the appropriate tool and when it is not.…

    • 2031 Words
    • 9 Pages
    Satisfactory Essays
  • Good Essays

    Economic Statistics

    • 324 Words
    • 2 Pages

    1. “What is the life expectancy for Caucasian males that have survived 54 years?” The answer will almost certainly be larger than 72. I want an estimate “conditioned on” the fact that I have already lived 54 years. Life is dynamic. Things are constantly changing. However, too often decisions are based on static information. Bayes theorem takes advantage of dynamic information to give a better, more correct answer.…

    • 324 Words
    • 2 Pages
    Good Essays