RELATIONSHIP BETWEEN EXPORT AND GDP OF TANZANIA SOPHIA IBRAHIM MSc.in Computer Science Abstract This paper analyses the relationship between export and Economic growth of Tanzania and evaluate the relationship of these variables for the period of 2000-2010.It is observed from the data obtained from National Bureau of Statistics website that export is increasing for the period of ten years from(2000 – 2010) likewise GDP is increasing. Therefore these two items relate to each other. It can be concludes
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measuring skewness by standardizing the difference between the mean and the mode‚ that is‚ . Population modes are not well estimated from sample modes‚ but one can estimate the difference between the mean and the mode as being three times the difference between the mean and the median (Stuart & Ord‚ 1994)‚ leading to the following estimate of skewness: . Many statisticians use this measure but with the ‘3’ eliminated‚ that is‚ . This statistic ranges from -1 to +1. Absolute values above 0.2 indicate
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STUDENT PERFORMANCE DETERMINANTS IN A BUSINESS STATISTICS COURSE AT A LARGE URBAN INSTITUTION CIS 3300 November 30‚ 2012 INTRODUCTION This research paper discusses the effects of several different factors on a student’s success in a Business Statistics course. The different variables include areas related to the student’s academic factors as well as factors related to the student’s personal life. The academic related variables are: course of study‚ study hours per week‚ semester credit
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Cross-City Evidence on the Relationship between Immigration and Crime / 457 Cross-City Evidence on the Relationship between Immigration and Crime Kristin F. Butcher Anne Morrison Piehl Abstract Public concerns about the costs of immigration and crime are high‚ and sometimes overlapping. This article investigates the relationship between immigration into a metropolitan area and that area’s crime rate during the 1980s. Using data from the Uniform Crime Reports and the Current Population
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especially rock and roll. It is a spiritual expression‚ showing the creator’s belief‚ same as the poetry. So I would say‚ music with its idea is simply poetry‚ they both tell of love‚ joy‚ sadness‚ or criticism of life. Many formal relationships exist between the two modes of expression. For example‚ musical songs have to be rhythmic‚ and traditional poetry has the same format. Rhythm is what makes music as well as poetry‚ and commonly used musical rhythms have served as the foundation to form
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increasingly diverse linguistic and cultural backgrounds. In a recent report (National Center for Education Statistics‚ 2002)‚ 42% of the teachers surveyed indicated that they had English Language Learners (ELLs) in their classroom‚ but only 12.5% of these teachers had received more than eight hours of professional development specifically related to ELLs (NCES‚ 2002). The significant achievement gap between language minority and language majority students (Moss & Puma‚ 1995)‚ along with an educational climate
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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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a plot of the empirical distribution function with a normal cumulative 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
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9.18 a) Using forward stepwise regression to find the best subset of predictor variables to predict job proficiency. The Alpha-to-Enter significance level was set at 0.05 and the Alpha-to-Leave significance level was set at 0.10. The first predictor entered into the stepwise model is X3. SAS tells us that the estimated intercept is -106.13 and the estimated slope for X3 is 1.968. The R2-value is 0.8047‚ mean square error is 76.87. The second predictor entered into the stepwise model is X1.
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the written application of operation. It teaches students to think clearly‚ reason well and strategize effectively. Mental Mathematics is the ability to utilise mathematical skills to solve problems mentally. The marks scored by pupils generate statistics which are used by teachers to analyse a student’s performance and development of theories to explain the differences in performance. The Standard 3 class is where the transition from junior to senior level occurs where teachers expect the transference
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