INEQUALITY IN KENYA INTRODUCTION After independence‚ the few educated Kenyans easily acquired wealth‚ without competition‚ and major changes since then has spawned few rich people because this group perfected ways of ensuring that wealth does not leak out‚ including marrying among themselves. Distribution of benefits of economic growth has been one of Kenya’s biggest challenges in its quest for long term prosperity and stability putting the suitability of the trickle-down economics that Presidents
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Interrelationships The chain of distribution – also known as the channel of distribution‚ is the way in which the product is delivered to the consumer‚ it is used in any industry. An example of this would be; Vertical distribution Many companies do not go by the simple chain of distribution as theirs is more complex. Many business tend to merge with other businesses for commercial success. When this takes place it’s known as vertical distribution. This is when a two companies from different levels
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MODEL CONTRACTS FOR SMALL FIRMS LEGAL GUIDANCE FOR DOING INTERNATIONAL BUSINESS © International Trade Centre‚ August 2010 Model Contracts for Small Firms: International Distribution of Goods Contents Foreword Acknowledgements Introduction Chapter 1 International Contractual Alliance Introduction ITC Model Contract for an International Contractual Alliance Chapter 2 International Corporate Joint Venture Introduction ITC Model Contract for an International Corporate
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expected average outcome over many observations.The common symbol for the mean (also known as the expected value of X) is ‚ formally defined by Variance - The variance of a discrete random variable X measures the spread‚ or variability‚ of the distribution‚ and is defined by The standard deviation is the square root of the variance. Expectation - The expected value (or mean) of X‚ where X is a discrete random variable‚ is a weighted average of the possible values that X can take‚ each value
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Probability distribution Definition with example: The total set of all the probabilities of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)
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goal of the distribution of income is to achieve economic equality‚ which is to give every citizen the opportunity of earning a decent living. However‚ our current system’s inability to better allocate the resources we have at our disposal has widened the gap between the wealthy and the poor especially during the past 20 years. The primary benefit of the distribution of income is to transfer wealth‚ with the help of the government‚ to those who are less fortunate. The current distribution of income
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Frequency Distribution (A) Introduction 1. Ungrouped data versus grouped data Ungrouped data (Raw data): It is a list of individual observed values of the random variable Grouped data (a frequency distribution): It is a table that displays the data in grouping along with the number of occurrences that fall into each group. 2. The components of a frequency distribution a. Class limits: They identify the inclusive values in a class of a frequency distribution The
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NORMAL DISTRIBUTION 1. Find the distribution: a. b. c. d. e. f. following probabilities‚ the random variable Z has standard normal P (0< Z < 1.43) P (0.11 < Z < 1.98) P (-0.39 < Z < 1.22) P (Z < 0.92) P (Z > -1.78) P (Z < -2.08) 2. Determine the areas under the standard normal curve between –z and +z: ♦ z = 0.5 ♦ z = 2.0 Find the two values of z in standard normal distribution so that: P(-z < Z < +z) = 0.84 3. At a university‚ the average height of 500 students of a course is 1.70 m; the standard
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C H A P T E R 6 The Normal Distribution Objectives Outline After completing this chapter‚ you should be able to 1 2 3 Identify distributions as symmetric or skewed. 4 Find probabilities for a normally distributed variable by transforming it into a standard normal variable. Introduction 6–1 Normal Distributions Identify the properties of a normal distribution. Find the area under the standard normal distribution‚ given various z values. 5 Find
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1.1 GENERAL INTRODUCTION Diabetes mellitus‚ often simply referred to as diabetes‚ is a group of metabolic diseases in which a person has high blood sugar‚ either because the body does not produce enough insulin‚ or because cells do not respond to the insulin that is produced. It is a serious‚ lifelong condition. The three main types of diabetes are: Type 1 diabetes results from the body’s failure to produce insulin‚ and presently requires the person to inject insulin. Type 2 diabetes
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