GM 03 Business Statistics Assignment II Assignment Code: 2012 GM03 B2 Last Date of Submission: 15th November 2012 Maximum Marks: 100 Attempt all the questions. All questions are compulsory and carry equal marks. SECTION – A 1. a) Explain the need for different forecasting techniques. How can we evaluate as to how good is our forecast. b) Collect data on the amount of expenditure you do each day for the next 25 days and
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MB0040 – Statistics for Management - 4 Credits (Book ID: B1129) Assignment Set - 1 (60 Marks) Q1. Define “Statistics”. 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 gave several definitions of Statistics. He defined
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distribution function for 100 normal random numbers. The K-S test is based on the maximum distance between these two curves. Characteristics and Limitations of the K-S TestAn attractive feature of this test is that the distribution of the K-S test statistic itself does not depend on the underlying cumulative distribution function being tested. Another advantage is that it is an exact test (the chi-square goodness-of-fit test depends on an adequate sample size for the approximations to be valid). Despite
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s |COLLEGE OF THE BAHAMAS | |BUSINESS STATISTICS | |FIRST INTERM EXAM | |COURSE: STAT201
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STAT 600 Statistics and Quantitative Analysis PROJECT: Stock return estimation The project must be done by 6-15 a.m. October‚ 16th. You should submit your projects before the class begins. This is a group project. Read the course outline for general guidelines. Good luck! The project is closely related to Lectures 1-5 of the class. Today is September 15‚ 2013 and you have just started your new job with a financial planning firm. In addition to studying for all your license exams‚ you have
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Major Statistics Assignment Mary Grace Rivero 050853639 CNUR860-011 Vaska Micevski Friday‚ March 30‚ 2012 Major Statistics Assignment This major statistics assignment will finally pull together everything that was learned in this course. The application of all content within this course will be incorporated to three different research scenarios. Within each scenario‚ hypothesis testing will be done‚ followed by a discussion of relevant descriptive statistics and finally‚ a discussion
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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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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. 295
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P1-2010-2011-Spring Bus531 Standard Normaal Probability Problems 1- A university reported admission statistics for 3339 students who were admitted for freshmen for the fall semester of 1998. Of these students‚ 1590 had taken the Scholastic Aptitude Test (SAT). Assume the SAT verbal scores were normally distributed with a mean of 530 and a standard deviation of 70. a – What percentage of students were admitted with SAT verbal scores between 500 and 600? b - What percentage of students were
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| Statistics 101 Report | The Kentucky Milk Case Study | | | | Preliminary Analysis 2a) Figure 1: X as a Data Object X is a data frame as derived from the program R shown above in Figure 1. There are 274 observations of 11 variables. The number of observations is obtained from the number of rows while the number of variables is obtained from the number of columns. 2b) Figure 2: Creating a sub-data frame from X Figure 3:Sub-data frame from X Figure 2 shows a screenshot
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