TITLE PAGE THE ROLE OF MIDDLEMEN IN NIGERIAN ECONOMY (A CASE STUDY OF ANAMBRA NEW MARKET) BY OSAKWE ONYINYE THERESA FPN/S01/2009/2010/NDMKT/1091 TO THE DEPARTMENT OF MARKETING SCHOOL OF BUSINESS STUDIES FEDERAL POLYTECHNIC NASARAWA NASARAWA STATE IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF NATIONAL DIPLOMA (ND) IN MARKETING NOVEMBER 2010 APPROVAL PAGE I hereby submit this project for approval having met the requirement for the award of National Diploma (ND) in marketing
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question Question 6 Poisson or Binomial question Question 7 Given a set of data points‚ you will have to calculate the descriptive stats- mean‚ median‚ mode‚ st. dev‚ variance‚ etc Question 8 Binomial question‚ if question 6 was a Poisson question and vice versa. Question 9 p-test or z-test ‚ using the critical value method Question 10 p-interval question Question 11 Given set of data points‚ calculate correlation coefficient(r) and r2 Question 12 Binomial probability question Question
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nominal‚ ordinal‚ interval‚ and ratio • Create grouped frequency distributions • Compute measures of central tendency and variation and use them to analyze data • Calculate and interpret the correlation coefficient and equation of the least-squares regression line for bivariate data and use the results to make predictions. • Solve probabilities • Compute binomial distributions • Use the normal distribution to interpret z scores and compute probabilities • Estimate a
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STA2300 Data Analysis Faculty of Sciences Study Book Ashley Plank with contributions from The LTS Team‚ Christine McDonald‚ Paul Fahey‚ Peter Dunn‚ Shahjahan Khan‚ Taryn Swan & Rachel King ii c University of Southern Queensland‚ 2012.1 Published by University of Southern Queensland Toowoomba Qld 4350 Australia http://www.usq.edu.au Copyrighted materials reproduced herein are used under the provisions of the Copyright Act 1968 as amended‚ or as a result of application to the copyright
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(A) Binomial‚ Normal (B) Poisson‚ Exponential (C) Normal‚ Binomial (D) Exponential‚ Poisson (E) Binomial‚ Poisson 14. Which of the following statements are true? (I) Mutually exclusive events are always independent. (II) Dependent events are always mutually exclusive. (III) For two dependent events
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Sample Term Test 2A 1. A variable X has a distribution which is described by the density curve shown below: What proportion of values of X fall between 1 and 6? (A) 0.550 (B) 0.575 (C) 0.600 (D) 0.625 (E) 0.650 2. Which of the following statements about a normal distribution is true? (A) The value of µ must always be positive. (B) The value of σ must always be positive. (C) The shape of a normal distribution depends on the value of µ. (D) The possible values of a standard normal variable
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It contains practice questions‚ which are related to each week’s objectives. In addition‚ refer to each week’s readings and your student guide as study references for the Final Examination. Week One: Descriptive Statistics and Probability Distributions Objective: Compute descriptive statistics for given data sets. 1. In 1995‚ the cost of unleaded gasoline was $0.95 per gallon. In 2010‚ the same type of gasoline costs $3.00 per gallon. To determine the amount of change‚ we have to use the
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Source: Frerichs‚ R.R. Rapid Surveys (unpublished)‚ © 2008. NOT FOR COMMERCIAL DISTRIBUTION 3 Simple Random Sampling 3.1 INTRODUCTION Everyone mentions simple random sampling‚ but few use this method for population-based surveys. Rapid surveys are no exception‚ since they too use a more complex sampling scheme. So why should we be concerned with simple random sampling? The main reason is to learn the theory of sampling. Simple random sampling is the basic selection process of sampling and is
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Advanced Modelling in Finance using Excel and VBA Wiley Finance Series Operational Risk: Measurement and Modelling Jack King Advance Credit Risk Analysis: Financial Approaches and Mathematical Models to Assess‚ Price and Manage Credit Risk Didier Cossin and Hugues Pirotte Dictionary of Financial Engineering John F. Marshall Pricing Financial Derivatives: The Finite Difference Method Domingo A Tavella and Curt Randall Interest Rate Modelling Jessica James and Nick Webber Handbook of Hybrid Instruments:
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between observed frequencies and the frequencies we would expect‚ based on some theory? • Is there a difference between observed and expected proportions? • Is it reasonable to conclude that sample is drawn from a population with some specified distribution (normal‚ etc.). • Is there significant difference between some measures of central tendency (X bar) and its population parameter (μ). A number of tests may be appropriate in this situation‚ i.e. Parametric test and Non-parametric test.
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