1. Which type of research includes an array of interpretative techniques which seek to describe, decode, translate, and otherwise come to terms with the meaning of certain phenomena? • Qualitative • Quantitative • Descriptive • Statistical 2. Which term below refers to the descriptors of variables computed from sample data used to estimate those same variables in the population? • Population parameters • Standard errors • Systematic estimates • Sample statistics Find the Latest Final
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little direct impact on strategic or tactical decisions. Essay Questions What are the seven basic principles of the U.S. Safe Harbor Agreement? List each principles and explain what it means for companies seeking to adhere to the agreement. The seven basic principles are 1) notice, 2) choice, 3) access, 4) security, 5) onward transfer, 6) data integrity, and 7) enforcement. Companies must notify consumers about what information is being collected, how that information will be used, who that information
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normal data and skewed distribution of a single data group. You will want to know what measure to use when data distribution is normal (symmetrical) and when the data distribution is significantly skewed. We will work with six measures, mean, median, mode, standard deviation, interquartile range (IQR), and range. You may use a web search or the textbook. Textbook: McClave Ch. 2 pp. 54-60 (Central Tendency); pp. 64-67 (Variability); pp. 81-83 (Quartiles) Methods for Describing Sets of Data MyStatLab:
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Statistics Once the Data collection process has been completed the researcher must then try to make sense of the information collected. The data at this stage will be in its raw form and will generally not be suitable for presentation or interpretation The purpose of descriptive statistics, as the name suggests, is to describe a set of data. They are used to provide manageable summaries of data sets. They are the simplest and most widely used set of statistics and in many data analysis projects
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The following lists various ways of describing types of data or variables: A. nominal B. ordinal C. interval, discrete, cross-sectional D. interval, continuous, cross-sectional E. interval, discrete, time-series F. interval, continuous, time-series G. ratio, discrete, cross-sectional H. ratio, continuous, cross-sectional I. ratio, discrete, time-series J. ratio, continuous, time-series Place one of the letters, A thru J, in each of the spaces provided which best describes each of the
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Page no. 1. Introduction to Data Mining 3 2. Characteristics and Objectives of Data Mining 3 3. Data type in Data Mining 3 4. Patterns of Data Mining
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inability to determine characteristics of interest, the application of statistics, and other quantitative techniques has developed. Statistics is defined as the process of collecting a sample, organizing, analyzing and interpreting data. The numeric values which represent the characteristics analyzed in this process are also referred to as statistics. When information related to a particular group is desired, and it is impossible or impractical to obtain this information, a sample or subset of
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1. Which of the following represents a population and a sample from that population? * Fans at a concert who purchase t-shirts and fans at a concert who purchase soda * Teachers in a high school and members of the parent teacher group * Freshmen at St. Joseph's University and basketball players at St. Joseph's University * Residents of Albany, New York, and registered voters in Albany, New York 2. A population consists of _________________. * a subject
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1. In the following situation identify the implied population. A recent report on the weekly news presented the findings of a study on the effectiveness of Onglyza, along with diet and exercise, for treating diabetes. Answer: As part of the treatment for ‘diabetes’, there was a news clip for the effectiveness study, along with diet & exercise. The implied population is all the people used to test the effectiveness of the ‘Onglyza’ through diet & exercise. A link is posted on the bottom;
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Types of Statistics Descriptive Statistics Examples: A set of methods used to describe data already collected so that its main features can be seen immediately. eg: averages, sports, EXISTS TODAY AND NOW Inferential Statistics Examples: Techniques that allow us to make a generalization, estimate, or prediction about a population based on a sample. eg: polls, tv ratings, use a sample to predict entire population info Application: Joe D. Politician is running for Mayor. He calls you on the
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