Bivariate Data Analysis   In this unit you have studied Bivariate Data Analysis with a particular focus on identifying and describing associations between two numerical variables and fitting a linear model to numerical data.   There is a popular belief that young people today spend too much time on devices (for example, mobile phones, computers, iPads) which can be detrimental to the amount and quality of sleep that they get each night. Some studies have even suggested that screen time disrupts sleep by resetting internal clocks. (www.medicalnewstoday.com /articles/323846.php – ACCESSED ONLINE 28/06/2019)     Task   Investigate the possible link between screen time and sleep by focussing on the hours of screen time per day and the hours of sleep that night using data collected from a sample of people who are aged 12-25 over a period of time. The investigation should explore and evaluate the dependence of the quantity of sleep on the total hours of screen time for that day using bivariate data analysis to determine any relationship between these two variables.[unique_solution]     To complete this task…

Leading Change with Data and Collaboration Who you are and the specialization expertise you represent on Mayor Keller’s task force? I am an Assistant Principal of Grand City School, working in collaboration with the director of early childhood programs.  In Mayor Keller’s task force, I am posted at Grand City Elementary. The primary reason why I joined the task force is to help the children succeed in their education programs. I believe that the reason for early childhood is to provide children with the opportunity to have equal and quality education and the opportunity to explore their potentials. Guidera (n.d.) pointed out that a high-quality early childhood classroom is vital to a child’s self-esteem, self-help skills, social interactions, and a child’s personal and mental growth; I believe that a child will learn best by feeling safe and secure in their classroom or learning environment. As an Assistant Principal of Grand City School, I will ensure that the children get the best as they grow into a brighter future. The importance of being an educational agent of change Halgunseth, Peterson, Stark…

Privacy Challenges around Data for Uber Technologies Inc. Introduction The challenges on data privacy exist since data has more value to several people. Data in content and metadata files area identifiable with the files which are used for storing them. More of these data breaches are expected to occur because several people are transferring sensitive data towards cloud storage. Utilizing cloud storage towards making data accessible from all places might have legal inferences concerning domestic and foreign laws, travel, insurance, and employment. Several firms worry concerning criminals stealing their data.  The paper looks into privacy challenges around data usage regarding Uber. It presents why such difficulties are in existence and various general approaches to solving such them. In solving different problems regarding data privacy, it is imperative to utilize specific data tools or databases. The essay offers various data tools used in solving data challenges. Again, it provides the organization’s data security implementation and the benefits realized from the application. Discussed within the paper are various results of implementing data security in Uber Technologies Inc.  It gives clarity on whether…

Introduction to Federated database Overview Federated systems are a database system that uses a federated server. This server is used to integrate all the other databases under it, which are connected by a computer network. The servers may be situated geographically away from each other. Benefits of Federated database system A federated database system has many advantages over a standard database system for many aspects. It has a DB2 instance which helps the user to perform tasks uniformly across the databases. The user can post a query and receive an answer within a short period. The query posted is divided into subqueries and is fed to the individual databases connected to them. Then, the database having the solution is matched, and the answer is compiled by the system together. “This system translates SQL statements into SMC primitives to compute query results over the union of its source databases without revealing sensitive information about individual tuples to peer data providers” ( Bater et al., 2017). It supports a very sophisticated data analytics with a bare minimum of integration overhead function attached…

Data Screening The first step of the data screening process was to check for missing data. Kang (2013) says that missing data—no matter the amount—can present various problems. It may reduce statistical power (the probability that a test will reject a false null hypothesis); the missing data can cause estimation bias on the parameters, and can also reduce sample representativeness. The only piece of data missing in the data set was the Emotional Self-Efficacy Scale value for identifying and understanding (ESES_Identifying) for participant number 205. This missing data had a significant effect on the total score on the ESES. Therefore, the best thing to do was to delete the entire record. Before the record was deleted, the sample size was 232. The resultant sample size after the deletion was 231. The data set had two types of demographic variables: gender and age; however, this analysis will use only gender as the demographic variable because it is a grouping variable grouped into two (1 – male, 2 – female) and thus it can be a perfect variable for a parametric test…

Multivariate data analysis Multivariate data analysis gaining its momentum as Mahalanobis Taguchi system is helpful in solving many issues over the period. MTS has developed from both Mahalanobis distance (MD) and Taguchi’s Robust Engineering [8]. It has used for decision making in recent days under multi-attribute criteria. This system is a multivariate statistical method used for feature selection as well [9]. Survey of MTS was presented, which illustrates how it could produce better results for feature selection as well as for classification problems [10]. Better Arrhythmia classification system was developed using MTS, which has a better classification result compared to the other well-known approaches [11].   Imbalanced data classification was successfully handled with the help of a modified MTS approach. The improved version’s results bettered not only the MTS approach but also SVM and Naïve Bayes approach and many other algorithms [12]. Smartphone sensed data was used to develop a model to assess the quality of the road was proposed with the help of MTS approach. Road condition classification was handled in this work using MTS [13]. In another work,…

Data Collection For this assignment, you will complete the following steps: Using Microsoft Excel to record your information, collect data from at least 25 participants (n ＝ 25). The participants may be selected randomly (random sample) or non-randomly. Before you begin to collect your data, you will have to first select a research question about which you hope to get information from your participants. I have provided examples of research questions here (you should think of one that interests you). After you have a research question, your task is to design a mini survey and to use it to collect data from your participants. In addition to the data that reflects your research question, you must gather data on the participant’s race/ethnicity, gender, and age. For example, I might ask my participants, Research Question Examples: [unique_solution]Who is going to win the next election? (democrats, republicans, other) In your opinion, on a scale from 1 to 5, how likely is it that climate change is manmade? (1 is unlikely, 5 highly likely) Do you prefer to drink coffee or tea? (coffee,…

challenges organizations face while building a database on the cloud and future expectations in cloud computing Abstract The use of cloud computing services is on the rise now that almost everyone has something to store virtually for future access or review. Today, the cloud environment has allowed users to store valuable information and access data via their smartphones. In spite of the success of the cloud environment, data security has always remained a significant issue. One of the primary reasons as to why the cloud is prone to security threats is the fact that data is scattered at different locations all over the world. As such, users need to be assured of data security to win their trust in the cloud environment. A trustworthy cloud environment is fundamental in winning user confidence while using such technology. According to recent reports, the global computing market is proliferating, and it’s expected to reach $270 billion in 2020. There are numerous proposed data protection measures in various studies focusing on cloud computing; there are still newly proposed approaches to enhance data protection related…

how an enterprise can justify spending on data security measures Data security has become a requirement for every enterprise in the modern era, no matter its size. Most businesses in the digital world rely on transactions and data storage to perform a myriad of operations. Data usage has increased the efficiency and profitability of companies. However, it has, at the same time, brought potential security risks that often devastate the operations of companies. Businesses are now accountable for the confidentiality and safety of their employees and client data. However, securing business data is a task that continues to become difficult as cyberbullies come up with new ways to compromise data security and safety measures.   Data security is vital for enterprises with little knowledge and resources to restore their operations after the occurrence of a data breach. Data breaches will undoubtedly cause severe consequences to your business, irrespective of the data it handles. Data breaches often result in expensive legal fees and downtime. Thus, companies must invest in data security measures to protect their data from online threats and protect…

Importance of Electronic Data Interchange Solutions {For any business entity, exchange of information is a very important thing since it helps improve the business relations.|Exchange of information is a very important thing for any business entity since it helps improve the business relations.|It is important to have exchange of information between business entities since it helps improve business relations.} {In the market today, there are several different ways that business entities can exchange information between them.|There are several different ways that business entities can use to exchange information between them in the market today.|As your search in the market these days, you will come across several different ways that you can use as a business entity to exchange information with your colleagues.} {One of the most common ways that most entities are using today to exchange information is electronic data interchange.|Electronic data interchange is one of the most common ways that most entities are using to exchange information today.|Today, most entities are using electronic data interchange to exchange information.} {Before we go any deep, you need to understand what the…