> data=read.table("d:/111113/1.txt"‚header=T) > model1=lm(S~u_direction+mx+my+mz‚data) > summary(model1) Call: lm(formula = S ~ u_direction + mx + my + mz‚ data = data) Residuals: Min 1Q Median 3Q Max -11.8430 -0.3962 0.3252 0.7887 18.3963 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.50372 0.12738 -3.955 7.93e-05 *** u_direction -0.40368 0.07996 -5.048 4.85e-07 *** mx -0.40573 0
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In the fictional memoir，Maestro‚ Peter Goldworthy illustrates the impossibility of reaching perfection. The protagonist‚ Paul Crabbe‚ uses ten years to fulfill his dream of becoming a concert pianist‚ but ultimately only to become an academic in Melbourne. His failure is caused by his flawed personality and his inherent human limitation. Paul’s teacher‚ Eduard Keller‚ the ‘maestro’‚ is a damaged individual. His high status in music does not give him a perfect life‚ as his wife and son are killed
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STA1101 Normal Distribution and Continuous random variables CONTINUOUS RANDOM VARIABLES A random variable whose values are not countable is called a _CONTINUOUS RANDOM VARIABLE._ THE NORMAL DISTRIBUTION The _NORMAL PROBABILITY DISTRIBUTION_ is given by a bell-shaped(symmetric) curve. THE STANDARD NORMAL DISTRIBUTION The normal distribution with and is called the _STANDARD NORMAL DISTRIBUTION._ Example 1: Find the area under the standard normal curve between z = 0 and z = 1.95 from z
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centerline. iii) Eight consecutive points falling on one side of the centerline When the process is in statistical control‚ find the false alarm probability (Type-I error) for each case. The corresponding probability measures are obtained from the Normal table as P(3 " Z) = 0.00135 P(2 " Z) = 0.02275 P(1 " Z) = 0.1587 Solution: ! i) Use the Binomial distribution to ! calculate the probability measures. ! 3! 3! P(Y ! 2 n = 3‚ p = 0.02275) = (0.02275)2 (1" 0.02275) + (0.02275)3 = 0.00153
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Variances Variances can be either: * Positive/favourable (better than expected) or * Adverse/unfavourable ( worse than expected) A favourable variance might mean that: * Costs were lower than expected in the budget‚ or * Revenue/profits were higher than expected By contrast‚ an adverse variance might arise because: * Costs were higher than expected * Revenue/profits were lower than expected What causes budget variance? There are four key reasons and it is important that
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the irreversible clearance and can destroy an entire ecosystem causing environmental threats‚ such as green house gas emissions‚ a rise in soil salinity‚ the destruction of natural habitats for animals‚ the decrease and even extinction in indigenous flora and fauna‚ as well as erosion. Extensive land clearing is a problem in Australia‚ New Zealand and Tasmania. History For the most part‚ land clearing has been utilized to make way for agricultural and urban development. In the past‚ governments
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ASSIGNMENTS Course Code : MS 08 Course Title : Quantitative Analysis for Managerial Applications Assignment No. : MS-08/TMA/SEM-I/2014 Coverage : All Blocks Note : Attempt all the questions and submit this assignment on or before 30th April‚ 2014 to the coordinator of your study center. 1. The distribution of Intelligence Quotient (I.Q.) scores measured for 100 students in a test is as follows: I.Q.* 40-50 50-60 60-70 70-80 80-90 90-100
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| Flora and Fauna | | 10/3/2013 | | Outline Australia’s unique flora and fauna: Australia has a large variety of unique flora and fauna spread all over the continent‚ from coast to coast‚ including in the ocean. More than 80 per cent of the country’s flowering plants‚ mammals‚ reptiles and frogs are unique to Australia‚ along with most of its freshwater fish and almost half of its birds. Australia is home to more than 140 species of unique marsupials‚ including kangaroos‚ wallabies
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FLORA IN INDIA The flora of India is one of the richest of the world due to a wide range of climate‚ topology and environments in the country. It is thought there are over 15000 species of flowering plants in India‚ which account for 6 percent of the total plant species in the world. Due to the wide range of climatic conditions‚ India holds rich variety of flora that no other country can boast of. India covers more than 45‚000 species of flora‚ out of which there are several species that are not
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Flora & Flora (2009 & 2004) identifies seven types of capital; that plays a crucial part in communities. All these features are reflected as human factors that influence the community. The following capitals are: Natural Capital: This refers to natural resources that can be used in the community. Location is very important for this capital because it refers to the resources that can be locted in a specific space. Cultural Capital: Legacy is an important concept on culture because it relates to
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