Name Instructor’s name Course Date Statistics 1a. P (red ∩ rugged) = P(red)*P(rugged) = 40/200*85/200 = 17/200 b. P (standard) = 46/200 P (not standard) = 1- 46/200= 77/100 P (not standard) = P (DELUXE U RUGGED) = 69/200+85/200 = 77/100 2. P (A) =0.3 P(S) = 0.39 P (M) = 0.63 P (A∩S∩M) = 0.3*0.39*0.63 = 0.07371 ASSUMPTION The events are all independent of each other. 3. P(X=7) 1-(1/8)*(7/8)7= 0.95 b. P(X>7) 1- (1/8)*(7/8)7+
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“Shortcuts” for Binomial Random Variables . . . . . . . . 18 1 4 Probability Distributions 19 4.1 Binomial Distributions . . . . . . . . . . . . . . . . . . . . . . . . 19 4.2 Poisson Distributions . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.2.1 Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.2.2 As an Approximation to the Binomial . . . . . . . . . . . 22 Normal Distributions . .
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A survey: Noise reduction algorithm for underwater signal Anjali singh1, Selva balan2 and Prof Dr.R S kawitkar 3 M.E. Student, Dept. of Electronics, Sinhgad College of Engineering, Pune, India1 Professor, Dept. of Electronics, Sinhgad College of Engineering, Pune, India3 Abstract Underwater acoustics signal is the study of the propagation of sound in water and the interaction of the mechanical waves that constitute sound with the water and its boundaries. The water may be in the dam, ocean, a
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Introduction to Probability Randomness and statistical regularity There are many instances in nature for which we cannot predict the possible event that may happen. We can say in these cases that the occurrence of the event is random. However for whatever reason that the event cannot be predicted we can make a definite average pattern of results can be seen in these situations leading to random occurrences when the situation that led to the event is repeated a number of times. The simplest example
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Categorical and Continuous Variables By SSG Huerta Aracely 18 July 2015 MHS 506 Biostatistics Categorical and Continuous Variables Variables and data can either represent measurements on some continuous scale, or they represent information about some categorical or discrete characteristics. Some examples of continuous variable are weight, height, and age. Categorical variables can be considered a person's gender, occupation, or marital status. Some variables could be considered both categorical
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Financial Risk Management (1 Sem, 2015-2016) Assignment 1 1. Suppose that each of two investments has a 4% chance of a loss of $10 million, a 2% chance of a loss of $1 million, and a 94% chance of a profit of $1 million. They are independent of each other. (a) What is the VaR for one of the investments when the confidence level is 95%? (b) What is the expected shortfall when the confidence level is 95%? (c) What is the VaR for a portfolio consisting of the two investments when the confidence
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Valenzuela National High School A. Fernando St., Marulas, Valenzuela City THE EFFECTS OF EARLY RELATIONSHIP WITH THE OPOSITE SEX IN LIFE AND STUDIES OF STOC STUDENTS IN VNHS A Research Paper Presented By: ISIAHNA FAE BALABAG JAMEZEL ANNE SIPSIP Researchers Presented To: MRS. LEAH P. VILOG Research teacher DEDICATION We would like to dedicate this research paper to the following: STOC STUDENTS OF VNHS OUR FAMILY RESEARCHERS who are interested to know the possible effects of early relationship
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an online course which uses Blackboard linked to MyMathLab. Course Description: This course develops fundamental knowledge and skills for applying statistics to business decision making. Topics include descriptive statistics, probability distributions, confidence intervals and hypothesis testing and the use of computer software for statistical applications. Learning Outcomes: The successful Business Analytics I student should be able to: 1) Organize and summarize data using appropriate
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demonstrates the result in BER as a function of SNR. The relationship between BER and SNR are established for M-PSK system for three channel properties; AWGN, fast, and slow fading. AWGN channel was modeled by normal distribution. Rayleigh distribution were used for fast fading and lognormal distribution for slow fading is used to model. Three primary relationships created after the modeling are * BER to SNR relationship for BPSK, QPSK, 8-PSK, and 16-PSK for AWGN only channel * BER to SNR relationship
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CFD Analysis of two pass Double Pipe Heat Exchanger with Fe3O4/water Nano fluid Dissertation submitted In partial fulfilment of requirement For the award of degree of Master of Technology in Thermal Engineering by Ponnada Prasanthkumar 13131D2102 Under the Guidance of Sri B. Ajit Assistant Professor Department of Mechanical Engineering GAYATRI VIDYA PARISHAD COLLEGE OF ENGINEERING (AUTONOMOUS) (Affiliated to J.N.T. University, Kakinada) VISHAKHAPATNAM - 530048 CERTIFICATE This is to certify
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