ntegration is the calculation of an integral. Integrals in maths are used to find many useful quantities such as areas, volumes, displacement, etc. When we speak about integrals, it is related to usually definite integrals. The indefinite integrals are used for antiderivatives.
ntegration is the calculation of an integral. Integrals in maths are used to find many useful quantities such as areas, volumes, displacement, etc. When we speak about integrals, it is related to usually definite integrals. The indefinite integrals are used for antiderivatives.
Z Transform And Inverse Z Transform - Signal And SystemsMr. RahüL YøGi
The z-transform is the most general concept for the transformation of discrete-time series.
The Laplace transform is the more general concept for the transformation of continuous time processes.
For example, the Laplace transform allows you to transform a differential equation, and its corresponding initial and boundary value problems, into a space in which the equation can be solved by ordinary algebra.
The switching of spaces to transform calculus problems into algebraic operations on transforms is called operational calculus. The Laplace and z transforms are the most important methods for this purpose.
Z Transform And Inverse Z Transform - Signal And SystemsMr. RahüL YøGi
The z-transform is the most general concept for the transformation of discrete-time series.
The Laplace transform is the more general concept for the transformation of continuous time processes.
For example, the Laplace transform allows you to transform a differential equation, and its corresponding initial and boundary value problems, into a space in which the equation can be solved by ordinary algebra.
The switching of spaces to transform calculus problems into algebraic operations on transforms is called operational calculus. The Laplace and z transforms are the most important methods for this purpose.
This is the entrance exam paper for ISI MSQE Entrance Exam for the year 2011. Much more information on the ISI MSQE Entrance Exam and ISI MSQE Entrance preparation help available on http://crackdse.com
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1) Let P(A) = 0.35, P(B) = 0.30, and P(A ∩ B) = 0.17.a.Are A.docxdorishigh
1) Let P(A) = 0.35, P(B) = 0.30, and P(A ∩ B) = 0.17.
a.
Are A and B independent events?
Yes because P(A | B) = P(A).
Yes because P(A ∩ B) ≠ 0.
No because P(A | B) ≠ P(A).
No because P(A ∩ B) ≠ 0.
b.
Are A and B mutually exclusive events?
Yes because P(A | B) = P(A).
Yes because P(A ∩ B) ≠ 0.
No because P(A | B) ≠ P(A).
No because P(A ∩ B) ≠ 0.
c.
What is the probability that neither A nor B takes place
2)
(Use computer) Assume that X is a Poisson random variable with μ = 40. Calculate the following probabilities. (Round your intermediate calculations and final answers to 4 decimal places.)
a.P(X ≤ 29)
b.P(X = 33)
c.P(X > 36)
d.P(36 ≤ X ≤ 47)
3)
Scores on the final in a statistics class are as follows.
61
23
62
50
64
68
66
80
76
48
72
78
46
58
56
52
74
53
70
54
Click here for the Excel Data File
a.
Calculate the 25th, 50th, and 75th percentiles. (Do not round intermediate calculations. Round your answers to 2 decimal places.)
25th percentile
50th percentile
75th percentile
b-1.
Calculate the IQR, lower limit and upper limit to detect outliers. (Negative value should be indicated by a minus sign. Round your intermediate calculations to 4 decimal places and final answers to 2 decimal places.)
IQR
Lower limit
Upper limit
b-2.
Are there any outliers?
Yes
No
4)
Consider the following observations from a population:
124
231
29
84
84
17
175
99
29
Click here for the Excel Data File
a.
Calculate the mean and median. (Round "mean" to 2 decimal places.)
Mean
Median
b.
Select the mode. (You may select more than one answer. Single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer.)
84
29
99
17
124
231
175
5)
Consider the following sample data:
x
14
22
24
19
27
y
13
18
20
23
25
a.
Calculate the covariance between the variables. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.)
Covariance
b-1.
Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.)
Correlation coefficient
b-2.
Interpret the correlation coefficient.
There is relationship between x and y.
A a(a(42)) , perfect , weak, strong, or no
6)
The State Police are trying to crack down on speeding on a particular portion of the Massachusetts Turnpike. To aid in this pursuit, they have purchased a new radar gun that promises greater consistency and reliability. Specifically, the gun advertises ± one-mile-per-hour accuracy 93% of the time; that is, there is a 0.93 probability that the gun will detect a speeder, if the driver is actually speeding. Assume there is a 1% chance that the gun erroneously detects a speeder even when the driver is below the speed limit. Suppose that 90% of the drivers drive below the speed limit on this ...
Stereographic Circular Normal Moment Distributionmathsjournal
Minh et al (2003) and Toshihiro Abe et al (2010) proposed a new method to derive circular distributions from the existing linear models by applying Inverse stereographic projection or equivalently bilinear transformation. In this paper, a new circular model, we call it as stereographic circular normal moment distribution, is derived by inducing modified inverse stereographic projection on normal moment distribution (Akin Olosunde et al (2008)) on real line. This distribution generalizes stereographic circular normal distribution (Toshihiro Abe et al (2010)), the density and distribution functions of proposed model admit closed form. We provide explicit expressions for trigonometric moments.
This paper deals with the problem of undesired memory effects in nonlinear digital filters owing to the influence of past excitations on future outputs. The nonlinearities under consideration cover the usual types of overflow arithmetic employed in practice. Based on the Hankel norm performance, a new criterion is proposed to ensure the reduction of undesired memory effects in digital filters with overflow arithmetic. In absence of external input, the nonexistence of overflow oscillations is also confirmed by the proposed criterion. A numerical example together with simulation result showing the effectiveness of the criterion is given.
This paper deals with the problem of undesired memory effects in nonlinear digital filters owing to the influence of past excitations on future outputs. The nonlinearities under consideration cover the usual types of overflow arithmetic employed in practice. Based on the Hankel norm performance, a new criterion is proposed to ensure the reduction of undesired memory effects in digital filters with overflow arithmetic. In absence of external input, the nonexistence of overflow oscillations is also confirmed by the proposed criterion. A numerical example together with simulation result showing the effectiveness of the criterion is given.
Solving Transportation Problems with Hexagonal Fuzzy Numbers Using Best Candi...IJERA Editor
In this paper, we introduce a Fuzzy Transportation Problem (FTP) in which the values of transportation costs are
represented as hexagonal fuzzy numbers. We use the Best candidate method to solve the FTP. The Centroid
ranking technique is used to obtain the optimal solution.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
1. 1
Indian Institute of Technology Kanpur
Department of Humanities and Social Sciences
HSO201A Applied Probability and Statistics (2015-16-II)
Instructor: Professor Praveen Kulshreshtha
PRACTICE PROBLEM SET (PPS) # 3
Note:
There are 8 questions in this problem set.
As far as possible, complete answers should be given.
‘Quality of reasoning provided’ is very important.
Make all necessary mathematical derivations to support your reasoning.
Show all of your steps and work (including calculations) clearly.
1. Let X be a random variable with finite variance 2
. Show that for any real numbers
(constants) a and b, Var(aX + b) = a2
2
.
2. In 80% of all solar-heat installations, the utility bill is reduced by at least one-third.
Find the probability that the utility bill will be reduced by at least one-third in:
(a) five of six installations.
(b) at least five of six installations.
3. A shipment of 15 digital voice recorders contains 4 that are defective. If 5 of them are
randomly chosen for inspection, what is the probability that 2 of the 5 will be
defective?
4. Show that the Moment Generating Function (m.g.f.) for a random variable:
(a) X B(n, p); n > 1 (integer) and 0 < p < 1 (Binomial Distribution), is given by:
MX(t) = [p + (1-p)]n
(b) X Po(); > 0 (Poisson Distribution), is given by: MX(t) =
(c) Y NB(r, p); r 1 (integer) and 0 < p < 1, where Y = No. of failures before the rth
success occurs (Negative Binomial Distribution), is given by: MY(t) =
(d) Y g(p); 0 < p < 1, where Y = No. of failures before the 1st
success occurs
(Geometric Distribution), is given by: MY(t) =
(e) X Discrete Uniform(1, N); N > 1 (integer) (Discrete Uniform Distribution), is
given by: MX(t) =
(f) X Uniform(a, b); a < b (Continuous Uniform Distribution), is given by:
MX(t) = , for t 0; and MX(0) = 1
(g) X Gamma(, ); > 0 and > 0 (Gamma Distribution), is given by:
MX(t) =
, for t <
(h) X 2
(p); p > 0 (integer) (Chi Square Distribution), is given by:
MX(t) = , for t <
(i) X exp(); > 0 (Exponential Distribution), is given by: MX(t) =
, for t <
2. 2
5. Derive the Expectation (mean ) and Variance (2
) for a random variable X, where:
(a) X B(n, p); n > 1 (integer) and 0 < p < 1 (Binomial Distribution)
(b) X Po(); > 0 (Poisson Distribution)
(c) X NB(r, p); r 1 (integer) and 0 < p < 1 (Negative Binomial Distribution)
(d) X g(p); 0 < p < 1 (Geometric Distribution)
(e) X Discrete Uniform(1, N); N > 1 (integer) (Discrete Uniform Distribution)
(f) X Hypergeometric (N, n, K); N > 1 (integer), n (integer) < N; K (integer) < N
(Hypergeometric Distribution)
(g) X Uniform(a, b); a < b (Continuous Uniform Distribution)
(h) X Gamma(, ); > 0 and > 0 (Gamma Distribution)
(i) X 2
(p); p > 0 (integer) (Chi Square Distribution)
(j) X exp(); > 0 (Exponential Distribution)
6. A counter records an average of 1.3 gamma particles per millisecond coming from a
radioactive substance. Let X denote the random variable, which equals the count of
gamma particles during the next millisecond.
(a) Find a suitable probability distribution for X. What are the parameters of this
distribution?
(b) What are the mean and variance of the above distribution?
(c) Determine the probability that one or more gamma particles will be emitted during
the next millisecond.
7. In the city of Kanpur, the proportion of road sections requiring repairs in any given
year is a random variable having the beta distribution, with shape parameters = 3
and = 2.
(a) On average, what percentage of the road sections in Kanpur city require repairs in
any given year?
(b) Find the probability that at least half of the road sections in Kanpur city will
require repairs in any given year.
8. In the city of Kanpur, the daily consumption of electricity (in thousands of megawatt-
hours) can be treated as a random variable having the gamma distribution, with shape
parameter = 2 and scale parameter = 5. If the power plant of the city has a daily
capacity of 100 megawatt-hours, what is the probability that this power supply will be
inadequate on any given day?
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