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ACME Building Supplies is about to introduce a new customer service program that will affect all of its 200 sales and service employees. Job duties

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ACME Building Supplies is about to introduce a new customer service program that will affect all of its 200 sales and service employees. Job duties will be changed and the employee reward system will be altered to fit this new customer focus. Moreover, the company wants to improve the efficiency of work processes, thereby removing some of the comfortable (and often leisurely) routines that employees have followed over the years.

Part 1- Forces Resisting Change

Describe three types of forces resisting change that the company will potentially experience during this change process.

Part 2:Implementing the change

Pretend you are working in the Human Resources department of ACME Building Supplies and are in charge of leading the change of implementing the new Customer Relations Management (CRM) computer program as part of this new 'Customer Service' change initiative. Employees use the current CRM multiple times a day as it stores all the information about clients from the types of products and services they have, to logging any interaction they have with the clients. Thus, this change will greatly impact their job/tasks. Knowing what you have learned this semester about behaviour and attitudes towards change, createi a plan that ACME could use to successfully implement this change.

Things that need to be included:

In Part 1 of the work, you addressed forces resisting the change, so your implementation plan must clearly indicate how it will address the resistance.

A crucial aspect to any change is communication. Include a written memo or record a video of yourself announcing this new change in CRM to employees. Employees should understand why this change is happening, when, who it affects, etc. For any information that has not been included, you are free to make up any assumption that you wish.

An important part of planning that often is forgotten about is the final evaluation. Identify how you will evaluate your implementation plan (i.e. how will you know if this change was successful?)

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Consider a SISO transfer function: S P(s) = $2 + 3s + 2 Obtain a state-space representation in the controllable canonical form. Is the system controllable? Observable? Obtain a state-space representation in the observable canonical form. Is your system controllable? Observable? s +1 P(s) = $2 + 3s + 2 Obtain a state-space representation in the controllable canonical form. Is the system controllable? Observable? Obtain a state-space representation in the observable canonical form. Is your system controllable? Observable?1} Determining State Equation The transfer function of a linear system is given by 12(s + 1) am = 3(3 + 3x: + 2)2 Write the state equations in a] The Controllable Canonical form b) The Observable Canonical form :1 Can you write It in Diagonal Canonical form. Why? {1) If your answer to part c is NO, please find closest form to diagonal Canonical form. [Namely Jordan Canonical Form} 2 pts Is there any difference between a Factorial ANOVA and a One-Way ANOVA? Yes, a Factorial ANOVA has 2+ IVs, whereas a One-Way ANOVA has only 1 IV. O Yes, the main purpose of a Factorial ANOVA is to test if two or more groups are significantly different from each other, whereas a One-Way ANOVA compares means across two or more independent variables. @) No, both tests are the same. Yes, Factorial ANOVA results in the calculation of three F ratios, whereas two F ratios should be calculated in One-Way ANOVA.Which of the following are true of binary classication/ regression trees? i. Bagging decision trees is likely to increase the model variance. ii. The deeper the decision tree is, the more likely it is to overt. iii. They are robust to small changes in the data. iv. Random forests are less likely to overt than decision trees. (a) Describe two potential advantages of regression trees over other statistical learning methods. (b) When growing a regression tree using CART, two types of splits are considered. Describe these splits and provide an example for each. (c) A regression tree has three types of nodes: the root node, internal nodes and terminal nodes. Describe each node and explain how predictions are made using a regression tree. (d) Large bushy regression trees tend to over-fit the training data. Briefly explain what is meant by over-fitting and under-fitting the training data using regression trees. (e) The predictive performance of a single regression tree can be substantially improved by aggregating many decision trees. i. Briefly explain the method of bagging regression trees. ii. Explain the difference between bagging and random forest. iii. Briefly explain two differences between boosted regression trees and random forest

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