All posts by : chebby

 Scenario 5: Sprint Retrospective

Before you begin this assignment, be sure you have read the “XYZ Corporation Case”. 

No comparison of the videos is required. Per Ms. Cortez, your task assignment is to execute the following steps and to develop and submit the cited summary/analysis deliverables. 

1. View Video 1 several times.

2. Summarize the key content of Video 1 and state its provided definition of Agile retrospectives. Also, include a reminder about any related content important to XYZ Corporation that is not included in the video.

3. View Video 2 several times.

4. Summarize the key content of Video 2 and state each of the wrong ways dramatized in the video. For each wrong way included in the video, state the corresponding right way, and provide a brief description of the right way in the XYZ Agile environment. 

5. View Video 3 several times.

6. List each mistake and tip included in the Video 3, and elaborate on each mistake and tip in 1-2 sentences. Cite which tips you think are most important for XYZ Corporation. Cite which tips you think are least important for XYZ Corporation. Also cite one additional tip not included in the video that we want to nonetheless emphasize at XYZ Corporation.

7. Watch Video 4 several times.

8. Summarize the key content of Video 4. Be sure to address: 1) what to keep as is (“like”); and 2) what to improve (“don’t like”) for the next Sprint, as well Mr. Southerland’s concept of “the one thing” to emphasize. After your initial summary, include 3 representative examples of items that may come up in a retrospective in the category of what to keep as is and the category of what to improve. 

Sooonn….

Please see attached files for full directions. 

Once you find the article, you will read it and write a review of it.  This is considered a research article review.Your paper should meet these requirements: 

Primary Task Response: Within the Discussion Board area, write 400–500 words that respond to the following questions with your thoughts, ideas, and comments. Be substantive and clear and use examples to reinforce your ideas.

There are numerous times when the information collected from a real organization will not conform to the requirements of a parametric analysis. That is, a practitioner would not be able to analyze the data with a t-test or F-test (ANOVA).

Presume that a young professional has read about tests—such as the Chi-Square, the Mann-Whitney U test, the Wilcoxon Signed-Rank test, and the Kruskal-Wallis one-way analysis of variance—and wants to know when it is appropriate to use each test, what the test is used for, and why each would be used instead of the t-tests and ANOVA. How would you address this young person’s concerns?

Question 1

Consider the XOR problem where there are four training points: (1, 1, −),(1, 0, +),(0, 1, +),(0, 0, −). Transform the data into the following feature space:

 Φ = (1, √ 2×1, √ 2×2, √ 2x1x2, x2 1, x2 2).

Find the maximum margin linear decision boundary in the transformed space.

Question 2

Consider the following set of candidate 3-itemsets: {1, 2, 3}, {1, 2, 6}, {1, 3, 4}, {2, 3, 4}, {2, 4, 5}, {3, 4, 6}, {4, 5, 6}

Construct a hash tree for the above candidate 3-itemsets. Assume the tree uses a hash function where all odd-numbered items are hashed to the left child of a node, while the even-numbered items are hashed to the right child. A candidate k-itemset is inserted into the tree by hashing on each successive item in the candidate and then following the appropriate branch of the tree according to the hash value. Once a leaf node is reached, the candidate is inserted based on one of the following conditions:

Condition 1: If the depth of the leaf node is equal to k (the root is assumed to be at depth 0), then the candidate is inserted regardless of the number of itemsets already stored at the node.

Condition 2: If the depth of the leaf node is less than k, then the candidate can be inserted as long as the number of itemsets stored at the node is less than maxsize. Assume maxsize = 2 for this question.

Condition 3: If the depth of the leaf node is less than k and the number of itemsets stored at the node is equal to maxsize, then the leaf node is converted into an internal node. New leaf nodes are created as children of the old leaf node. Candidate itemsets previously stored in the old leaf node are distributed to the children based on their hash values. The new candidate is also hashed to its appropriate leaf node.

How many leaf nodes are there in the candidate hash tree? How many internal nodes are there?

Consider a transaction that contains the following items: {1, 2, 3, 5, 6}. Using the hash tree constructed in part (a), which leaf nodes will be checked against the transaction? What are the candidate 3-itemsets contained in the transaction?

Please go through the attachment for assignment details.

Discuss and identify leader traits and attributes that are most beneficial in implementing the best decisions in an organization. 

1. Explain the differences in charismatic and transformational leadership and how both leadership styles impact organizational effectiveness.  Please note how these leadership styles affect implementing new innovative technologies.
2. Review table 8.1 in the reading this week, note the work characteristics and the traditional versus high-performance focus, note which focus is best for strategic decisions and which is best for operational decisions.  Please explain.

At least one scholarly (peer-reviewed) resource should be used in the initial discussion thread.  Use APA references and in-text citations.

Review the material on routers.

It is sometimes said that information extracted from a router or switch does not necessarily provide specific evidence of a particular crime. What is meant by that?  If true, what then is the most useful information collected from these devices in an investigation?

300 WORDS

Risk assessment and recommendations