milkshake f. Capacity of Sports Authority field. g. Ages of people living in personal care homes. 5) Classify each as discrete or continuous. a. Number of pizzas sold by Pizza Express each day. b. Relative humidity levels in operating rooms at local hospitals. c. Number of bananas in a bunch. d. Lifetimes of 15 iPhone batteries. e. Blood pressure of marathon runners. 6) Comment on the following statements. a. “Vitamin E is a proven
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Week 2 Paper: Uses of Statistical Information Lynda Gruenewald-Schmitz HCS/438 June 17‚ 2013 Amber Krasny Uses of Statistical Information According to Bennett‚ Briggs & Triola (2009)‚ descriptive statistics transforms data into a picture of information that is readily understandable using measures such as mean‚ median‚ mode‚ variation and standard deviation. Inferential statistics help researchers decide whether their outcomes are a result of factors planned within design of the study
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income‚ length of labor‚ return to work and number of hours working per week 2. Mean and standard deviation were used to describe the length of labor. These were appropriate since mean and standard deviation can be calculated on an interval level of measurement. 3. Range could also be used to describe the length of labor since this statistic can be used on interval data with no natural zero point. 4. The distribution of scores was similar for the experimental and control groups for length of labor
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code: MB0050 (4 credits) Marks 60 subject NAME: RESEARCH METHODOLOGY Note: Each Question carries 10 marks Q1)a. Differentiate between nominal‚ ordinal‚ interval and ratio scales‚ with an example of each. b. What are the purposes of measurement in social science research? a. Types of scales: Ans) There are four types of data that may be gathered in social research‚ each one adding more to the next. Thus ordinal data is also nominal‚ and so on. Nominal The name ’Nominal’ comes
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Overview of Ballard Integrated Managed Services Isaac Joyner‚ Patty Hunt‚ Sheri Iannazzo‚ Tim Smith‚ Wendy Shanahan QNT/351 Quantitative Analysis For Business University of Phoenix Dr. Charles Lindner June 6‚ 2013 Overview of Ballard Integrated Managed Services Ballard Integrated Managed Services (BIMS) is a nationwide company with headquarters in New York City that provides housekeeping‚ maintenance‚ and food service to institutions and corporations on a contractual basis (UOPX‚ para
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their information‚ as well as what they were interested in. As a result‚ the questions featured diverse variables‚ which are important when analysing data. The survey instrument featured three levels of measurement for the variables‚ which include nominal‚ ordinal‚ and interval. The level of measurements incorporated in the survey was selected due to their specific purposes. Nominal data develops a simple frequency to categorise the genders of the respondents‚ an important factor when analysing
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INTRODUCTION TO Statistics 1.1 WHAT IS STATISTICS? The word statistics derives from classical Latin roots‚ status which means state. Statistics has become the universal language of the sciences. As potential users of statistics‚ we need to master both the “science” and the “art” of using statistical methodology correctly. These method include: Carefully defining the situation Gathering data Accurately summarizing the data Deriving and communicating meaningful conclusions
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Basic Concepts of Statistical Studies 1 Introduction s Decision makers make better decisions when they use all available information in an effective and meaningful way. The primary role of statistics is to to provide decision makers with methods for obtaining and analyzing information to help make these decisions. Statistics is used to answer long-range planning questions‚ such as when and where to locate facilities to handle future sales. 2 Definition s Statistics is defined as the
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clients to complain. Data Collection Instrument: The data collection tool to let workers express their views about their experiences at BIMS is an employee survey instrument. The survey collects information on attitudes‚ opinions‚ and levels of satisfaction from the 449 employees because the upper management is excluded. To figure out the root of the high turnover and the lowered morale‚ a ten-question survey was conducted. Our consultant firm will just be focusing on for right now on
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Introduction to Statistical Inference *A detailed outline is available on course syllabus. 2 Lecture 1: Descriptive Statistics Introduction (Chapter 1.1 and 2.1): 1. Population and parameters 2. Sample and statistics Nature of Data 3. Scales and measurement Collecting and Entering Data (Chapter 3) 4. Data Entry 5. Data Cleaning and Management 6. Maintaining Proper Codebook 3 Definition: Statistics • Numerical properties of groups rather than individuals. • Collection of methods that enables one
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