Conducting psychological research generally involves collecting a large amount of data. In order to summarize and draw conclusions about the data, we must first have some knowledge about the various statistical concepts. Descriptive statistics and inferential statistics are what we use to describe or summarize the data and make conclusions and predictions about a population. How variables are defined and measured is critically important in order to evaluate the validity of the research.

Instructions:

• Provide one example (your own) of each measurement scale, and provide an example (your own) of how a variable might be measured by different scales.
• Explain which of these you found most challenging to identify and why.

Your post should be at least 300 words. Respond to at least two of your classmates’ postings. Consider in your response whether you think the example provided is accurate and why. Seek out peers who shared similar examples as your own, as well as those who shared different examples from your own. Compare and contrast your rationale for your choices.

 Course: Cloud Computing

Discussion:  Discuss the most critical cloud computing challenges pertaining to mostly cloud consumers that use IT resources located in public clouds. Respond to two of your course mates. The original post must be a minimum of 400 words and the other two posts (response to your course mates) must be a minimum of 200 words each.

– Need two copies. One for me and one for my friend

This assignment has two parts.

Part A: Prepare and submit an essay that identifies the critical infrastructure elements in your: (1) city, (2) county, and (3) state. Use and cite at least seven credible references. Much of this information can be obtained at local libraries and government offices; through government Internet sites and news articles; and from personal contacts with government officials. The suggested length for this part of the assignment is approximately 1,000 words (with a typical font and 4 pages in length)

Part B: Taking the previous information into account, envision a particular disaster occurring in your area. Note possible secondary disaster situations and indicate how the disaster you envision would impact the critical infrastructure elements you have detailed within Part A. approximately 1,000 words, 4 pages).

All citations included in your assignment and APA format.

Knowledge discovery in databases is a broad process of finding useful knowledge from a collection of data. This is a process of discovering and identifying the ultimately important information from the observed results. According to Techopedia 2021, KDD encompasses data storage and access, scaling algorithms to massive data sets and interpreting results. It now houses many different approaches to discovery, which includes inductive learning, Bayesian statistics, semantic query optimization, knowledge acquisition for expert systems and information theory. The ultimate goal is to extract high-level knowledge from low-level data.

KDD includes multidisciplinary activities. 

2. Among the 10 motivation challenges that I have read based on my research, I chose “Fear of Failure” as a challenge. Being perfectionist and being afraid to commit mistakes is one of the most difficult challenges that a business person may face. We should always remember that we are not perfect and it is impossible for us to become perfect, but striving hard to be our best is a possible one. Failure is a part of our journey. We will be able to learn by trying and failing. Taking risk is an ultimate part of doing business. Once we take risks, we already accepted that we will experience some failures. So instead of fearing to failure, we just need to always do our best just like what Thomas Edison did and all other inspiring individuals.

3. Data mining integrates with the components of statistics and AL, ML, and Pattern Recognition in a way that data mining uses power of access list, machine learning, statistics and database techniques to mine large databases and come up with patterns. All of them are interesting data driven disciplines that help organizations make better decisions and positively affect the growth of any business.

4. Predictive is the use of statistics and modeling techniques to determine future performance based on current and historical data. This is important because it is use to determine what will be the performance of the company in the future and it is also helpful in making decisions in a variety of industries and disciplines. On the other hand, descriptive task allows you to display facts, figures, or knowledge. Its importance is to provide statistical data which help you to determine the current status of the business which are supported by facts. Both of these tasks are important and helpful in the aspects of the business.