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    Statistics should be interpreted with caution as they can be misleading; they can both lie and tell the truth” Statistics are being used everyday to describe things in working and studying areas to show the productivity of the results they are hoping for. Therefore‚ people observe and notice alternative objects the world around. Throughout this fact‚ similarities and differences are such features that could endanger or turned out as advantages. This is called statistics. Explanations

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    The History of statistics can be said to start around 1749 although‚ over time‚ there have been changes to the interpretation of the word statistics. In early times‚ the meaning was restricted to information about states. This was later extended to include all collections of information of all types‚ and later still it was extended to include the analysis and interpretation of such data. In modern terms‚ "statistics" means both sets of collected information‚ as in national accounts and temperature

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    Master of Business Administration- MBA Semester 1 MB0040 – Statistics for Management - 4 Credits (Book ID: B1129) Assignment Set - 1 (60 Marks) Q1. DefineStatistics”. What are the functions of Statistics? Distinguish between Primary data and Secondary data. Answer: Statistics is usually and loosely defined as: 1. A collection of numerical data that measure something. 2. The science of recording‚ organizing‚ analyzing and reporting quantitative information. Professor A.L. Bowley

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    s Name (Print): Student ID No.: Session Number: _______________________ The following question will appear on your final exam. If you mark the box with either a or ‚ your midterm score will not be used in grade calculation. If the box is left blank‚ midterm score will be counted. EXAM Rules: This is an open-book‚ open-notes exam. Please leave your cell phone in your locker during the final exam on 10/10 (11am-3pm). PART

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    Organization of Terms Experimental Design Descriptive   Inferential   Population Parameter Sample Random Bias Statistic Types of Variables   Graphs Measurement scales Nominal Ordinal Interval Ratio Qualitative Quantitative Independent Dependent   Bar Graph Histogram Box plot Scatterplot Measures of Center Spread Shape Mean Median Mode Range Variance Standard deviation Skewness Kurtosis Tests of Association   Inference Correlation Regression Slope y-intercept

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    Abstract This paper will identify my top five values and how they are used in business decision making. Examples will be given to explain the personal foundation of the values and justification as to why the corresponding values were place at their respected position on the list. Values Used in Business Decision Making Values have an influence on how we make decisions in our personal and professional lives. It is a difficult task to narrow the list of values to the top five. However

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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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    (BHRM) BUSINESS STATISTICS (BBI 1224) Name : Student ID# : Semester : Academic Honesty Policy Statement I‚ hereby attest that contents of this attachment are my own work. Referenced works‚ articles‚ art‚ programs‚ papers or parts thereof are acknowledged at the end of this paper. This includes data excerpted from CD-ROMs‚ the Internet‚ other private networks‚ and other people’s disk of the computer system. Student’s Signature : SUPERVISOR’S COMMMENTS/GRADE:

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    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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    Chapter 2: Descriptive Statistics CHAPTER 2: Descriptive Statistics 2.3 [LO 1] 28 2007 #1 28 71‚273.93 58‚069‚987.70 7‚620.37 59490 87970 28480 Distribution is skewed right. Descriptive statistics count mean sample variance sample standard deviation minimum maximum range Stem and Leaf plot for stem unit = leaf unit = Frequency 2 9 13 4 28 #1 10000 1000 Stem 5 6 7 8 Leaf 99 123446677 0000112444447 1377 Distribution is more normally shaped in 2007. 2.5 [LO 2] a. We have 2

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