UNIT – 1 1. Differentiate between Research & Research methodology. What are the various types of Research? 2. Discuss with examples, the nature of a good & effective research. 3. Discuss with examples, the qualitative & quantitative approaches in Research. 4. Discuss the scope & importance of research. UNIT – 2 5. Discuss the need & importance of Research design. What are the features of good research design? Discuss the basic principles in
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greed, corruption and the influence of corporations on the US government, primarily from the financial sectors of businesses. The main slogan of Occupy Wall Street (OWS) is we are the 99%, which addresses the growing income inequality and wealth distribution in the US between the wealthiest 1% and the rest of the population. Huffington Post reporter, Paul Taylor said the slogan is "arguably the most successful slogan since 'Hell no, we won't go,'" of Vietnam war era, and that the majority of Democrats
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University of Phoenix Material Distribution, Hypothesis Testing, and Error Worksheet Answer the following questions. Questions that are answered without the work will not receive full credit. When a question says explain or describe, please DO NOT copy word for word from a reference. You need to explain the concept so I know you understand what it means. For questions requiring material from Statdisk, make sure to turn labels on, take a screen capture (CTRL-Print Screen on most Windows-based
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1 2006 IEEE PES Transmission and Distribution Conference and Exposition Latin America, Venezuela Evaluating the Effects of High Penetrations of Roof-Top Wind Turbines on Secondary Distribution Circuits Petros P. Kritharas, Luis F. Ochoa, Student Member, IEEE, Konstantinos D. Papastergiou, Student Member, IEEE, and Gareth P. Harrison, Member, IEEE Results are presented and discussed remarking the timevariant benefits and drawbacks of roof-top wind power generation taking into account critical
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Week 7 Homework 24. H0: μ2 ≤ μ1 H1: μ2 > μ1 a = 0.05 (one-tailed) z-crit = 1.645 test statistic z = (μ2-μ1) / √[(s1)²/n + (s2)²/m] = (351-345) / √[28²/60 + 21²/54] = 1.3 Failed reject H0 because 1.3 < 1.645 and conclude that the difference in means is not significant because the number of units produced on the afternoon shift is larger. 34. These are independent samples of sufficient size to use the z-test for proportions. n1 = 270 x1 = 56 n2 = 203 x2 = 52 α = 0.05
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probabilities to several different possible prices of the underlying value at expiry. Because the distribution of prices occurs in the future, and every underlying value has its own characteristics, there is no clear answer to the question of how probabilities must be allocated. But, as an approximation, most models (some with adjustments) start with the assumption of a normal distribution. A normal distribution curve is always defined by two things: the average or mean (reflected by the spike in the
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Test statistic: Decision: Since tSTAT> 2.0096, reject . There is enough evidence to conclude that the mean number of days is different from 20. (b) The population distribution needs to be normal. (c) The boxplot plot indicates that the distribution is skewed to the right. (d) Even though the population distribution is probably not normally distributed, the result obtained in (a) should still be valid due to the Central Limit Theorem as a result of the relatively large sample size of
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d-hoc Statistics Report submitted to the CEO October 16, 2011 Table of Content Title Page ...............................................................................................................................................i Table of Contents ..................................................................................................................................iii Vacation Histogram .....................................................................................
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Assignment Time to submit: 1wk Q1. State the Bayes’ Theorem. Explain its importance. Insurance Company believes that people can be divided into two classes, accident prone and non-accident prone. Their statistics show that an accident prone person will have accident within a year with probability 0.4, whereas probability decreases to 0.2 for a non-accident prone person. If 30% of population is accident prone, what is the probability that a new policy holder will have an accident within one
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Q1 (i) Histogram for the return on Asset A Asset A –Frequency Distribution Class Intervals-Return | | Frequency | Cumulative Frequency | Class Width | Frequency Density | Probability | Cumulative Probability | -8% | -7% | 1 | 1 | 0.01 | 100 | 0.0000 | 0.0000 | -7% | -6% | 1 | 2 | 0.01 | 100 | 0.0002 | 0.0002 | -6% | -5% | 7 | 9 | 0.01 | 700 | 0.0002 | 0.0004 | -5% | -4% | 16 | 25 | 0.01 | 1600 | 0.0014 | 0.0018 | -4% | -3% | 42 | 67 | 0.01 | 4200 | 0.0032 | 0.0050 | -3% |
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