MG 620 Statistics for Managers HOME WORK ASSIGNMENT 1 SUBMITTED BY HARSH KAVISHWAR Question 1.1 Four different beverages are sold at a fast-food restaurant: soft drinks‚ tea‚ coffee‚ and bottled water. a. Explain why the type of beverage sold is an example of a categorical variable ANS. Categorical variables take values that fall into one or more categories. As there are 4 different types of drinks‚ they would all fall into their own categories rather than numerical
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for an individual to contract the disease. Suppose that a husband and wife‚ who both have a dominant Huntington’s disease allele (S) and a normal recessive allele (s)‚ decide to have a child. (a) List the possible genotypes of their offspring. (a) Sample space is {SS‚Ss‚sS‚ss} where S=dominant disease allele and s=normal recessive allele (b) What is the probability that the offspring will not have Huntington’s disease? In other words‚ what is the probability that the offspring will have genotype
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Logic model Brief history of evaluation and the logic Model Scriven (1991) would argue that evaluation has been around for many years‚ and is only now recognised as a discipline. He would go further and say it is like a knowledge which has been around for a decade before we were discussing its use‚ nature and logic. It is essentially different from science in its methods and thought. He would argue it is only recently we have appreciated its value as a discipline we still have a long way to go.
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STUDY ON “A STUDY ON THE CONSUMER PERCEPTION REGARDING THE SUCCESS OF BIG BAZAAR” [pic] ACKNOWLEDGEMENT One of the most pleasant parts of preparing the project is the opportunity to thank those who have contributed to its preparation. The list of expression of thanks – no matter how extensive is always incomplete and inadequate. These acknowledgements are no exception. First of all we would like to thank our mentor Miss Deepti For her unflagging patience‚ and knowledge which has proved
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GREAT ZIMBABWE UNIVERSITY FACULTY OF COMMERCE RESEARCH PROPOSAL A STUDY ON THE IMPACT OF THE INDIGENISATION AND ECONOMIC EMPOWERMENT ACT 14:33 ON THE GROWTH OF COMPANIES IN MASVINGO URBAN. A RESEARCH PROPOSAL PRESENTED TO THE GREAT ZIMBABWE UNIVERSITY IN PARTIAL FULFILMENT OF THE DEGREE OF BACHELOR OF COMMERCE HONORS ACCOUNTING
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a logical recommendation for treatment cannot be assigned. Section 1-3 Ex. 30 Cloning Survey – A Gallup poll of 1012 randomly surveyed adults found that 9% of them said cloning of humans should be allowed. a. Identify the sample: The 1012 people surveyed‚ are the sample. These were the people that responded to the survey. b. Identify the population: This would be the actual number of people the survey was sent to. c. With such a low number of responses and only 9% of those surveyed in agreeance
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CHAPTER 1: Introduction MULTIPLE CHOICE 1. The process of using sample statistics to draw conclusions about true population parameters is called a) statistical inference. b) the scientific method. c) sampling. d) descriptive statistics. ANSWER:a 2. Those methods involving the collection‚ presentation‚ and characterization of a set of data in order to properly describe the various features of that set of data are called a) statistical inference. b) the scientific method. c) sampling
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Column A. Columns B to F record these households’ WI‚ WEF‚ HLE‚ FS and GHH‚ respectively. Column I presents 45 randomly selected households as your sample‚ where each number is the name of the household in your sample. Assignment Tasks: 1. T1: Organize your sample data in a spreadsheet (See Sample Selection Sheet below). 2. T2: Plot the 45 sample points of WI and WEF values that you obtained in T1 on a scatter diagram. (Plot WI values along the X-axis and WEF values along the Y-axis.) 3. T3:
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Depending on how a sample is drawn‚ it may be a random sample or a nonrandom sample. A random sample is a sample drawn in such a way that each member of the population has some chance of being selected in the sample. In a nonrandom sample‚ some members of the population may not have any chance of being selected in the sample. Suppose we have a list of 100 students and we want to select 10 of them. If we write the names of all 100 students on pieces of paper‚ put them in a hat‚ mix them‚ and then
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SAMPLING POPULATION A population consists of all the possible observations of the random variable under study. A census involves the gathering of data on a random variable from every member of the target population A sample is a subset of all members of a target population. Sampling is the process of selecting a representative subset of observations from a population to determine the characteristics of the random variable under study. SAMPLING METHODS Two methods of sampling are: 1 2
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