Introduction to Statistics Assignment 1 – Kilgore Case Study Group Members Jayadeep P. Janani Sekar Karthik Shankar Manya Arora Mathura Vaidyanathan Date of Submission – 4th August 2015 Executive Summary Kilgore Manufacturing Inc. (KMI) has the opportunity to win a defence contract with Avionics by producing R-7 switches. KMI faces stiff competition from three competitors‚ all of whom will employ their resources in order to bid for extremely high production limits. The winning bidder must meet
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Case Problem 1: National Health Care Association(Descriptive Statistics) The National Health Care Association is concerned about the shortage of nurses the health care profession is projecting for the future. To learn the current degree of job satisfaction among nurses‚ the association has sponsored a study of hospital nurses throughout the country. As part of this study‚ a sample of 50 nurses was asked to indicate their degree of satisfaction in their work‚ their pay and their opportunities for
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Millar Biology statistics made simple using Excel Biology statistics made simple using Excel Neil Millar Spreadsheet programs such as Microsoft Excel can transform the use of statistics in A-level science Statistics is an area that most A-level biology students (and their teachers!) find difficult. The formulae are often complicated‚ the calculations tedious‚ degrees of freedom mysterious‚ and probability tables confusing. But in fact students need no longer grapple with any of these.
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Introduction to Management Sciences. Prentice-Hall Inc‚ fourth edition‚ 1989. 2 Barry Render‚ Ralph M. Stair Jr.‚ Michael E. Hanna. Quantitative Analysis for Management. Prentice Hall‚ eighth edition‚ 2003. 3 Kamlesh‚ Mathur‚ Daniel Solow. Management Science - The Art of Decision Making. Prentice Hall‚ 1994. 4 Jon Curwin and Roger Slater. Quantitative Methods for Business Decisions. Thomson‚ fifth edition‚ 2002. 5 Steyn‚ Smit‚ Du Toit‚ Strasheim. Modern Statistics in Practice. Van Schaik Publishers‚ 1994.
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shorter than TT Air‚ it does not significantly affect the output as the one day does not change much (unless there had been a market shock). However based on Central Limit Theorem‚ if the sample size is greater than or equal to 30 samples‚ the sample statistics reflect the time population parameters. • The Median data does not show much in this case as the range (4.7 AA Fly and 6.8 TT Air) is small for both AA Fly and TT Air. This means that the mean is more applicable to be used. • The Mode of AA
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of information‚ or the quantitative description itself. Descriptive statistics are distinguished from inferential statistics (or inductive statistics)‚ in that
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Concepts 1. What is Inferential statistics? Inferential statistics uses observations of past occurrences or available data i.e. descriptive statistics to make decisions about future possibilities and/or the nature of the entire body of data. Inferential statistics draws conclusions or makes interpretations‚ predictions and inferences about a population based upon an analysis of a sample. 2. Give 2 different techniques which are used in descriptive statistics to represent the data. Tables or
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questionnaire results and the types of PA you plan to perform in the future. The issuance of a par-Q is essential for individuals between the ages of fifteen and sixty-nine. These are usually issued to individuals who are usually breaking their usual physical activity levels and increasing them. It is great for me to do one of these now since I just signed up for the phoenix marathon. After completing the par-Q I answered no to all of the questions. Based on this it provided me with the common advice
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you learned to find interval estimates for two population parameters‚ a population mean and a population proportion. Explain the meaning of an interval estimate of a population parameter. An interval estimate for a specified population parameter (such as a mean or proportion) is a range of values in which the parameter is estimated to lie. In Chapter 6‚ you were assigned to find interval estimates for a population mean and a population proportion. b) Is finding an interval estimate an example
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survey that would answer particular questions on a Likert scale of ten points‚ we would be able to measure and therefore treat the variables as interval variable so that we can statistically analyze our data. According to (Miles‚ 2010 pp. 8)‚ asking for a subjective evaluation of a particular element may render the measurement as ordinal rather than interval‚ we would address this challenge by creating defined criteria’s where we can evaluate the answers given against guidelines and reject answers
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