example 2 2 10 6 a) Describe the characteristics of Normal probability distribution. b) In a sample of 120 workers in a factory‚ the mean and standard deviation of wages were Rs. 11.35 and Rs.3.03 respectively. Find the percentage of workers getting wages between Rs.9 and Rs.17 in the whole factory assuming that the wages are normally distributed. Characteristics of Normal probability distribution Formula/Computation/Solution to the problem 3 4 10 6 a) The procedure
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Statistics Math 1342 Final Exam Review Name___________________________________ MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) A card is drawn from a standard deck of 52 playing cards. Find the probability that the card is an ace or a heart. 17 7 3 4 A) B) C) D) 52 52 13 13 Answer: D 2) The events A and B are mutually exclusive. If P(A) = 0.7 and P(B) = 0.2‚ what is P(A or B)? A) 0.5 B) 0.9 C) 0.14 D)
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Rating for Load Compensation With Nonstiff Source Srinivas Bhaskar Karanki‚ Nagesh Geddada‚ Student Member‚ IEEE‚ Mahesh K. Mishra‚ Senior Member‚ IEEE‚ and B. Kalyan Kumar‚ Member‚ IEEE Abstract—The distribution static compensator (DSTATCOM) is used for load compensation in power distribution network. In this paper‚ a new topology for DSTATCOM applications with nonstiff source is proposed. The proposed topology enables DSTATCOM to have a reduced dc-link voltage without compromising the compensation
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How Distribution Is Arranged To Provide Customer Convenience? There are several ways in which businesses arrange distribution to provide customer convenience. The methods used may vary slightly based on what sort of business is being operated. For example‚ those who are running an e-commerce business will have different techniques than those who have a standard "real world" business headquarters. Also‚ different real world businesses may have different techniques dependent upon the size of the
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COURSE STRUCTURE AND SYLLABUS FOR 2-YEAR M. TECH. (COMPUTER SCIENCE & ENGINEERING) Approved by 83rd Academic Council Meeting held on 26 May‚ 2012 (YEAR 2012 ONWARDS) INDIAN SCHOOL OF MINES DHANBAD- 826 004‚ JHARKHAND 1 2-YEAR M.TECH (CSE) COURSE STRUCTURE M. Tech (CSE) − I Semester Name of the Courses High Performance Computer Architecture Advanced Data Structures and Algorithms Discrete and Analytical Mathematics Elective−I Elective−II High Performance Computer Architecture Laboratory
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Executive Summary. Channels of distribution are critical to the success of a manufacturer. A well designed channel creates time‚ place and ownership utility for the consumer and can augment the manufacturer’s product. Distribution channels may move product directly from the manufacturer to the consumer‚ or make use of intermediaries between the manufacturer and the consumer. This report consists of two parts: Part 1 explains some of the major concepts relating to distribution channels‚ and Part 2 relates
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8.1 BINOMIAL SETTING? In each situation below‚ is it reasonable to use a binomial distribution for the random variable X? Give reasons for your answer in each case. (a) An auto manufacturer chooses one car from each hour’s production for a detailed quality inspection. One variable recorded is the count X of finish defects (dimples‚ ripples‚ etc.) in the car’s paint. No: There is no fixed n (i.e.‚ there is no definite upper limit on the number of defects). (b) The pool of potential jurors for
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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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> 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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FUNCTION | DESCRIPTION | DAVERAGE | Returns the average of selected database entries | DCOUNT | Counts the cells that contain numbers in a database | DCOUNTA | Counts nonblank cells in a database | DGET | Extracts from a database a single record that matches the specified criteria | DMAX | Returns the maximum value from selected database entries | DMIN | Returns the minimum value from selected database entries | DPRODUCT | Multiplies the values in a particular field of records that
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