Data Management Exam Review
Population - refers to the entire group about which data are being collected
Data - information providing the basis o of a discussion from which conclusions may be drawn; data may often take the form of numbers that can be displayed graphically or in a table
Sample - part of a population selected so as to gain information about the whole population
Frequency - the number of times an event occurs or the number of items in a given category
Stem and leaf plot - a way of organizing and presenting a collection of numbers
Class interval - a category or division used for grouping a set of observations
Bar graph - a visual display of data in which quantities are represented by bars of equal width; typically used with discrete data
Frequency distribution - a set of values of a variable, together with the number of occurrences (frequency) of each value
Histogram - a visual display of data that have been organized into equal class intervals, which appear on the horizontal axis. The heights of the rectangles are proportional to the frequencies they represent. Typically used with continuous data.
Pictograph - a graph that uses pictures or symbols to represent variable quantities
Circle graph (pie graph) - a circle divided into sectors whose areas are proportional to the variables represented
Median - the middle term in a frequency distribution
Box and whisker plot - a horizontal representation of the spread of a distribution
Broken line graph - a graph created by joining data points with line segments
Casual relationship - where one variable directly affects another. Proving a casual relationship is the result of an in-depth study
Scatter plot - a graphical method of showing the joint distribution of two variables in which each point on the graph represents a pair of values
Independent variable - a variable whose value is randomly chosen
Dependent variable - a variable whose value depends on the independent variable
Trend - a pattern of average behaviour that occurs over time
Line of best fit - a straight line graph that best represents a set of data
Correlation - the apparent relation between two variables
Strong linear correlation - occurs if the two variables vary at similar rates
Weak linear correlation - occurs if the two variables vary at rates that are not similar
Positive linear correlation - occurs if the slope of the line of best fit or median-median line is positive
Negative linear correlation - occurs if the slope of the line of best fit or median-median line is negative
Median-median line - a linear model used to fit a line to a data set; the line is fit only to key points calculated using medians
Coefficient of correlation, r - a number from +1 to -1 that gives the strength and direction of the relationship between two variables
Coefficient of determination, r^2 - a number from 0 to +1 that gives the
organizations and enterprises is to maintaining privacy and confidentiality of data, as well as meeting the needs of a growing list of connected compliance obligations. This has been recognized by the increased need for collecting data and information such as intellectual property, market intelligence, and customers’ personal information. Therefore in the coming years, cloud computing, will further the need and introduce new challenges of data protection and compliance within organizations. This will necessitate…
Xu Li Fan (Carlos) Jimyeong Park Data Management 28 April 2013. CH 2.2 Indices -it is an index relates the value of a variable to base level, which is value particular date. In this case, Index produces numbers are easy to understand and compare. Also, it’s compare different time have different price and production, like CPI(consumer price Index), use different year to compare one place different CPI. So we can see graph that shows how a variable changes over time. The consumer…
of Inaccurate Data Kristine Miller A new focus on data capture is required like the skill to share electronic health records internally and externally with healthcare organizations and this has been accepted as a way to improve the value of care. Accurate data leads to quality information that is required for quality care and decision making. Inaccurate data threatens patient safety and can lead to increased costs, inefficiencies, and poor financial performances. To ensure the data is accurate it…
Foundations of Business Intelligence: Databases and Information Management Wienand Omta Fabiano Dalpiaz 1 drs. ing. Wienand Omta Learning Objectives 2 Describe how the problems of managing data resources in a traditional file environment are solved by a database management system. Describe the capabilities and value of a database management system. Apply important database design principles. Evaluate tools and technologies for accessing information from…
Chapter 2 One Variable Stats Assessment The Task: to conduct a research experiment on your Data Management Class. Hypothesis: It will show that the majority of students in grade 12 study 4 hours per day. As well, that the amount of time spent studying is related to your overall average. Sample Method: Random Sampling Survey Questions 1. How many hours do you spend studying each day? 2. What is your overall average 3. Where do you do your homework? Analysis Mean of hours studied: 2.357 Sample…
2. Master Data Management at Cyclone Singapore In this assignment, our group has been assigned group number as “M3”. In the following transactions, all of entries with YY would be replaced to M3. 2.1 Vendor Master Records The company has three different vendors which are CHEMIM3, ORECAM3 and SYMACM3. In order to create these three vendors our group used the transaction code FK01, and with transaction code FK03 to display vendors we created. Vendor: CHEMIM3 The above screen shot is the…
Sample Contract and Terms of Reference for the Design of a Performance Snapshot and a Data Development Plan Disclaimer: The only purpose of this sample contract is to serve as an educational example of the contract terms and project work plan and deliverables. ENGAGEMENT OF SERVICES BETWEEN NAME OF CLIENT AND NAME OF CONSULTANT The following agreement is between the NAME OF CONSULTANT and NAME OF CLIENT. This agreement confirms our understanding of the terms of our engagement. Description…
gelopy management here’s much wisdom in that saying, which has been attributed to both W. Edwards Deming and Peter Drucker, and it explains why the recent explosion of digital data is so important. Simply put, because of big data, managers can measure, and hence know, radically more about their businesses, and directly translate that knowledge into improved decision making and performance. Consider retailing. Booksellers in physical stores could always track which books sold and which did not…
Final: Management Accounting and the sources of data used in decision-making LaShanwda S Surles ACC206 Instructor: Angela Sneed December 19, 2011 Accounting is something that requires a lot of reading and this class along with my previous accounting class has made me do just that. Along with asking questions from a former employer who is a local accounting in my city about the managerial duties of accounting and he referred me to his office manager Ms. Jessie Feagin. I will discuss…
close attention, you will note that our systems mirror our brain processes 2-4 Data Processing Cycle Input Process Output Storage http://www.youtube.com/watch?v=JSnB06um5r4 2-5 The Data Processing Cycle Determines • • • • What data is stored? Who has access to the data? How is the data organized? How can unanticipated information needs be met?? 2-6 Data Input—Capture • As a business activity occurs data is collected about: 1. Each activity of interest 2. The resources affected 3. The…