Module 815 Data Structures Using C M. Campbell © 1993 Deakin University Module 815 Data Structures Using C Aim After working through this module you should be able to create and use new and complex data types within C programs. Learning objectives After working through this module you should be able to: 1. Manipulate character strings in C programs. 2. Declare and manipulate single and multi-dimensional arrays of the C data types. 3. Create‚ manipulate and manage C pointers
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Graphical Representation of Data Chapter 3 ☞ (Paste Examples of any graphs‚ diagrams and maps showing different types of data. For example‚ relief map‚ climatic map‚ distribution of soils maps‚ population map) REPRESENTATION OF DATA Besides the tabular form‚ the data may also be presented in some graphic or diagrammatic form. “The transformation of data through visual methods like graphs‚ diagrams‚ maps and charts is called representation of data.” The need of representing data graphically: Graphics
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DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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in the real estate market‚” monitors condominium sales by collecting data on location‚ list price‚ sale price‚ and number of days it takes to sell each unit. Each condominium is classified as Gulf View if it is located directly on the Gulf of Mexico or No Gulf View if it is located on the bay or a golf course‚ near but not on the Gulf. Sample data from the Multiple Listing Service in Naples‚ Florida‚ provided recent sales data for 40 Gulf View condominiums and 18 No Gulf View condominiums. Prices
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Instructions: Answer each of the following questions on the space provided. You must show ALL your work and IN PEN to earn full credit. 1. The following table gives the examination grades for 120 students. Grade Cumulative frequency 1 9 9 2 25 34 3 35 p 4 q 109 5 (a) Number of students 11 120 Find the value of (i) p; (ii) q. (4) (b) Find the mean grade. (2) (c) Write down the standard deviation. (1) (Total 7 marks)
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Associate Level Material Comparative Data Resource: Ch. 14 of Health Care Finance Complete the following table by writing responses to the questions. Cite the sources in the text and list them at the bottom of the table. What criterion must be met for true comparability? | True comparability needs to meet three criteria: consistency‚ verification and unit measurement. (Baker & Baker‚ 2012) | What elements of consistency should be considered? Provide an example. | The elements
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Lab – Data Analysis and Data Modeling in Visio Overview In this lab‚ we will learn to draw with Microsoft Visio the ERD’s we created in class. Learning Objectives Upon completion of this learning unit you should be able to: ▪ Understand the concept of data modeling ▪ Develop business rules ▪ Develop and apply good data naming conventions ▪ Construct simple data models using Entity Relationship Diagrams (ERDs) ▪ Develop entity relationships and define
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Data Models Consider a simple student registration. Specifically we want to support the tasks of students registering for or withdrawing from a class. To do this‚ the system will need to record data about what entities? What specific data about the entities will need to be stored? What is the cardinality between students and courses? Diagram the data model. While‚ considering a student class registration system for registering or withdrawing a system must have the capability to record data in
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of statistical concepts in the determination of weight variation in samples G.E. Institute of Biology‚ College of Science University of the Philippines‚ Diliman‚ Quezon City‚ Philippines Date Submitted: April 23‚ 2013 ABSTRACT Statistics is a mathematical science dealing with the collection‚ organization‚ analysis‚ interpretation‚ and presentation of data. It provides a more accurate way of expressing data rather than mere observation. This experiment used the different statistical concepts
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channel with full bandwidth available for communication. b. Packet Switching – Groupings of transmitted data are converted into smaller packets that are sent over a network. The transmission resources are allocated as needed and a connection exists only as long as the transmission is sent. 2. Packetization is the bundling of data being sent into smaller packets in such a way that they can be sent‚ delivered‚ and Looking at the statistics of the two stocks‚ does the risk-return trade-off
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