+1835 731 5494 Email: instantessays65@gmail.com

Saint GBA327 module 8 Exam 3 (Latest) 2016


Question 1: In a database, the things for which information is stored and maintained are called: fields. measurements. entities. attributes. Question 2. Question : Which option in Risk Solver Platform allows you to choose the number of times random values can be generated for the uncertain cells in the model? Trials per Simulation Simulations to Run Only Run Sim. Random Seed Question 3. Question : What is a database? A collection of related files Simply a collection of data A data file holding a single file Flat files used to store data Question 4. Question : During which phase in problem solving is a formal model often developed? Analyzing the problem Structuring the problem Defining the problem Implementing the solution Question 5. Question : Which of the following is an example of a measure of continuous metrics? Four errors revealed in an invoice A delivery delayed by seven days Weight and volume of a sheet of steel Three incomplete orders on a day Question 6. Question : Which of the following is a parameter in the Normal Distribution Dialog of the Risk Solver Platform? Maximum value Minimum value Most likely value Mean Question 7. Question : Which of the following inputs of a decision model is an example of data? Estimated consumer demand Inflation rates Costs Investment allocations Question 8. Question : Which of the following ways would × /100 – 73 be represented in an Excel spreadsheet? 10(2) * 5(3) / 100 ^ 73 10(2) ^ 5(3) / 100 – 73 10^2 * 5^3 / 100 – 73 10*2 ^ 5*3 / 100 – 73 Question 9. Question : Monte Carlo sampling differs from Latin Hypercube sampling in that the Monte Carlo sampling: results in a more even distribution of output values. uses the entire range of the distribution in a more consistent manner. selects random variates independently over the entire range of possible values of the distribution. uses an uncertain variable whose probability distribution is divided into intervals of equal probability. Question 10. Question : Which of the following questions will prescriptive analytics help a company address? How many and what types of complaints did they resolve? What is the best way of shipping goods from their factories to minimize costs? What do they expect to pay for fuel over the next several months? What will happen if demand falls by 10% or if supplier prices go up 5%? Question 11. Question : Identify the uncontrollable variable from the following inputs of a decision model. Investment returns Machine capacities Staffing levels Intercity distances Question 12. Question : In the ________ method, the distance between groups is defined as the distance between the closest pair of objects, where only pairs consisting of one object from each group are considered. Ward’s linkage clustering single linkage clustering divisive clustering average group linkage clustering Question 13. Question : Divisive clustering method is different from agglomerative clustering methods in that divisive clustering methods: can only have a pair of subjects in each cluster. separate objects into a particular cluster in one step. separate n objects successively into finer groupings. can only have a single subject in each cluster. Question 14. Question : ________ is the ratio of the number of transactions that include all items in the consequent as well as the antecedent to the number of transactions that include all items in the antecedent. Lift Logit Support for the association rule Confidence of the association rule Question 15. Question : The weights for determining the discriminant functions are determined by: assessing the number of outliers that are present in each group. calculating the distance between the two closest observations in each group. measuring the closeness between predictor values of each set. maximizing the between-group variance relative to the within-group variance. Question 16. Question : In classification, wh


There are no reviews yet.

Be the first to review “Saint GBA327 module 8 Exam 3 (Latest) 2016”

Your email address will not be published. Required fields are marked *