Statistical Analysis BU 510 601 2 Credit Hours Fall 2013 Instructor: Shrikant Panwalkar Office phone: (410) 234 9456 Office Hours: By appointment panwalkar@jhu.edu Required Text and Learning Materials Business Statistics in Practice; 6th Edition‚ McGraw-Hill Higher Education‚ ISBN-13 978-0-07-340183-6 (There are other ISBN numbers) Authors: Bowerman‚ Bruce; O’Connell‚ Richard. (the cover shows a third author – Murphree) Please note: 7th edition is available‚ however
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TABLE OF CONTENTS Title Page……………………………………… Recommendation for Examination……………………….. Approval Sheet……………………………………………. Acknowledgement………………………………………… Dedication………………………………………………… Abstract………………………………………………….. Table of Contents……………………………………… List of figures and table……………………………….. Chapter I THE PROBLEM AND ITS BACKGROUND Introduction……………………………….. Background of the Study………………. Conceptual Framework of the Study….. Objective of the Study……………………
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the next person who comes in to give blood will have high blood pressure. 8.8 percent 1. Last year‚ nine employees of an electronics company retired. Their ages at retirement are listed below. Find the mean retirement age. 57+62+62+55+66+58+65+50+50=525/9=58.3=58 mean retirement age 2. A store manager kept track of the number of newspapers sold each week over a seven-week period. The results are shown below. 36 30 201 180 278 242
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Practice Multiple Choice Questions for Exam 2 Prof. Alex Angelus Sept. 20‚ 2014 Question 1 2. Which of the following regarding the mean and variance of a portfolio of two stocks is false? a. . b. . \ c. d. . 2 Question 2 2. Which of the following are required conditions for the distribution of a discrete random variable X that can assume values xi? a. 0 p(xi) 1 for all xi b. c. Both a) and b) are required conditions d. Neither a) nor b) are required conditions
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least at the interval level of measurement? The length of labor in hours and the number of hours working per week‚ age‚ income‚ return to work. 2. What statistics were used to describe the length of labor in this study? Were these appropriate? The mean which would be the average of the length of labor (14.63)‚ and the frequency that this occurred which is 30. Yes I think it was appropriate because it shows how the average hours a person was in labor for this group and the frequency. 3. What other
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selecting and using a sample statistic to draw inference about a population parameter Two types of inferences : • Estimation : To use the ‘statistics’ obtained from the sample (such as sample mean & sample variance) as the ‘estimate’ of the unknown ‘parameter’ of the population (such as population mean and variance) • Tests of significance and hypotheses : To test hypothesis about the population Chapter 2 : Sampling Process Learning objectives • Why Sample the Population ?
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attempt all 10 questions) A1. The sample mean is an unbiased estimator for the population mean. This means: (A) The sample mean always equals the population mean. (B) The average sample mean‚ over all possible samples‚ equals the population mean. (C) The sample mean is always very close to the population mean. (D) The sample mean will only vary a little from the population mean. A2. The central limit theorem tells us that the sampling distribution of the mean is approximately normal. Which of the
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4 B 14.1 A 11.6 E 11.0 C 11.7 D 11.5 5 C 14.5 D 11.5 A 11.5 E 12.7 B 10.0 Step 1: State the hypothesis Ho : μ..1 = μ..2 = μ..ρ Ha: at least two means are not equal Ho: τk = 0 for all k Ha: τk ≠ 0 for at least one k Step 2: Compute the necessary values Rows and Colums WORKER DAYS Row total Row mean 1 2 3 4 5 1 10.7 (D) 10.3 (E) 11.2 (B) 10.9 (A) 10.5 (C) 53.6 10.72 2 11 (E) 10.5 (C) 12 (D) 11.5 (B) 10.3 (A) 55.3 11.06 3 11.8
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that we expect the two means to be equal‚ the null is now a statement that either the two means are equal or the mean score of the rural residents is lower than the mean of the urban residents. Remember‚ our alternative hypothesis in this case is that we expect the mean score for rural residents to be higher than the mean score for urban residents. Therefore‚ the null hypothesis (if it truly stands in opposition to the research or alternative hypothesis) is that we expect the mean score of the rural
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Abstract This paper will review and critique Hess’s quantitative study of vascular access improvement in pediatric population by using a vein viewing device. The author utilized a prospective‚ non-randomized study at a tertiary care center. The sample of the study included 150 procedures in the control group and 91 procedures in the experimental group from the ages 0 to 17 years. The primary aim of the study was to increase the first-attempt success rate of venipuncture and decrease procedure
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