Im trying to create a book list. I started off like this but idk how to continue?
public static int [] BookList (String title, String author, int price, int copies, String category) {
}
I don't know what to do next in order to list a set of (lets say 5 ) books and how to call it in the main (public static void main(String[] args))method
In: Computer Science
Describe statements of "White Privilege." At the web site you will find Internet sites of individuals and groups that the author Raymond A. Franklin thinks advocate violence against, separation from, defamation of, deception about, or hostility toward others based upon race, religion, ethnicity, gender or sexual orientation. Select five groups/individuals of those identified at this web site and summarize the purpose of each. http://www.hatedirectory.com/
In: Psychology
I am making a project on iphone 12. Could you fill this risk register.
|
Risk Register |
|||
|
Project |
|||
|
Project manager |
Version |
||
|
Date created |
Updated |
||
|
ID |
Author |
Date Registered |
Risk Category |
Description and areas affected |
Probability (1-10) |
Impact (1-10) |
Score (PxI) |
Risk Response |
Risk Owner |
|
1 |
|||||||||
|
2 |
|||||||||
|
3 |
|||||||||
|
4 |
|||||||||
|
5 |
|||||||||
|
6 |
|||||||||
|
7 |
In: Operations Management
In: Operations Management
Problem 3. An isometry between inner-product spaces V and W is a
linear
operator L in B (V ,W) that preserves norms and inner-products. If
x, y in V
and if L is an isometry, then we have <L(x),L(y)>_W = <x,
y>_V .
Suppose that V and W are both real, n-dimensional inner-product
spaces.
Thus the scalar field for both is R and both of them have a basis
consisting of
n elements. Show that V and W are isometric by demonstrating an
isometry
between them.
Hint: take both bases, and cite some linear algebra result that
says that
you can orthonormalize them. Prove (or cite someone to convince me)
that you
can define a linear function by specifying its action on a basis.
Finally, define
your isometry by deciding what it should do on an orthonormal basis
for V , and
prove that it preserves inner-products (and thus norms).
In: Advanced Math
The joint probability distribution of variables X and Y is shown in the table below.
...............................................................................X.......................................................................
|
Y |
1 |
2 |
3 |
|
1 |
0.30 |
0.18 |
0.12 |
|
2 |
0.15 |
0.09 |
0.06 |
|
3 |
0.05 |
0.03 |
0.02 |
i. Calculate E(X + Y) directly by using the probability distribution of X + Y.
In: Statistics and Probability
A particle with positive charge q = 9.61 10-19 C moves with a velocity v = (3î + 4ĵ − k) m/s through a region where both a uniform magnetic field and a uniform electric field exist. (a) Calculate the total force on the moving particle, taking B = (4î + 3ĵ + k) T and E = (3î − ĵ − 4k) V/m. (Give your answers in N for each component.) Fx = N Fy = N Fz = N (b) What angle does the force vector make with the positive x-axis? (Give your answer in degrees counterclockwise from the +x-axis.) ° counterclockwise from the +x-axis (c) What If? For what vector electric field would the total force on the particle be zero? (Give your answers in V/m for each component.) Ex = V/m Ey = V/m Ez = V/m
In: Physics
Determination of gplanet from the Period data of the Pendulum Virtual Lab
Learning Objective: Use the dimensions and period of a pendulum to determine the gravitational acceleration of the planet on which the pendulum is set in motion.
Go to the University of Colorado – Boulder PhET website/Pendulum Lab. Conduct four experiments with a 1 kg mass and a 10° pull-back angle from the vertical as controlled variables. The pendulum lengths should be between 0.250 m to 2.500 m, inclusive. Using the photogate timer, determine the period of the pendulum, in seconds.
The studied planet is ______Earth_______. Theoretical value of g for the planet_____9.81m/s^2______
Table 1. Relationship between the Length, l (m), and the Period of the Pendulum, T, (s).
|
Experiment #1 |
Experiment #2 |
Experiment #3 |
Experiment #4 |
|
|
String Length (m) |
0.70m |
0.71m |
0.72m |
0.73m |
|
Period, T (s) |
1.6813s |
1.6945s |
1.7063s |
1.7181s |
Table 2. Relationship between the String Length, l (m), and the Square of the Period of One Oscillation of a Pendulum, T2, (s2).
|
Experiment #1 |
Experiment #2 |
Experiment #3 |
Experiment #4 |
|
|
String Length times 4π2 (m) |
27.63m |
28.02m |
28.42m |
28.81m |
|
Square of the Period (s2) |
2.8267s^2 |
2.8713s^2 |
2.9114s^2 |
2.9518s^2 |
T2 = 4π2l/g, where g is the acceleration by gravity.
Rearranging the equation, 4π2l = g T2
Please work out and explain in detail for #4 and #5.
In: Physics
According to an? airline, flights on a certain route are on time 8080?% of the time. Suppose 2525 flights are randomly selected and the number of? on-time flights is recorded. ?(a) Explain why this is a binomial experiment. ?(b) Find and interpret the probability that exactly 1717 flights are on time. ?(c) Find and interpret the probability that fewer than 1717 flights are on time. ?(d) Find and interpret the probability that at least 1717 flights are on time. ?(e) Find and interpret the probability that between 1515 and 1717 ?flights, inclusive, are on time. ?(a) Identify the statements that explain why this is a binomial experiment. Select all that apply. A. The trials are independent. B. There are three mutually exclusive possibly? outcomes, arriving? on-time, arriving? early, and arriving late. C. Each trial depends on the previous trial. D. The experiment is performed until a desired number of successes is reached. E. There are two mutually exclusive? outcomes, success or failure. F. The experiment is performed a fixed number of times. G. The probability of success is the same for each trial of the experiment. ?(b) The probability that exactly 1717 flights are on time is nothing. ?(Round to four decimal places as? needed.) Interpret the probability. In 100 trials of this? experiment, it is expected about nothing to result in exactly 1717 flights being on time. ?(Round to the nearest whole number as? needed.) ?(c) The probability that fewer than 1717 flights are on time is nothing. ?(Round to four decimal places as? needed.) Interpret the probability. In 100 trials of this? experiment, it is expected about nothing to result in fewer than 1717 flights being on time. ?(Round to the nearest whole number as? needed.)?(d) The probability that at least 1717 flights are on time is nothing. ?(Round to four decimal places as? needed.) Interpret the probability. In 100 trials of this? experiment, it is expected about nothing to result in at least 1717 flights being on time. ?(Round to the nearest whole number as? needed.) ?(e) The probability that between 1515 and 1717 ?flights, inclusive, are on time is nothing. ?(Round to four decimal places as? needed.) Interpret the probability. In 100 trials of this? experiment, it is expected about nothing to result in between 1515 and 1717 ?flights, inclusive, being on time. ?(Round to the nearest whole number as? needed.) Click to select your answer(s).
In: Statistics and Probability
Back in Boston, Steve has been busy creating and managing his new company, Teton Mountaineering (TM), which is based out of a small town in Wyoming. In the process of doing so, TM has acquired various types of assets. Below is a list of assets acquired during 2015: (Use MACRS Table 1, Table 2, Table 3, Table 4 and Table 5.) (Round intermediate calculations and final answer to the nearest whole dollar amount.)
| Asset | Cost | Date Placed in Service | |
| Office furniture | $ | 10,000 | 02/03/2015 |
| Machinery | 560,000 | 07/22/2015 | |
| Used delivery truck* | 15,000 | 08/17/2015 | |
* Not considered a luxury automobile, thus not subject to the luxury automobile limitations.
During 2015, TM had huge success (and had no §179 limitations) and Steve acquired more assets the next year to increase its production capacity. These are the assets acquired during 2016:
| Date Placed | |||||||||||||||||||||||||||||||||||||||||||
| Asset | Cost | in Service | |||||||||||||||||||||||||||||||||||||||||
| Computers & info. system | $ | 40,000 | 03/31/2016 | ||||||||||||||||||||||||||||||||||||||||
| Luxury auto† | 80,000 | 05/26/2016 | |||||||||||||||||||||||||||||||||||||||||
| Assembly equipment | 475,000 | 08/15/2016 | |||||||||||||||||||||||||||||||||||||||||
| Storage building | 400,000 | 11/13/2016 | |||||||||||||||||||||||||||||||||||||||||
|
†Used 100% for business purposes. TM generated taxable income in 2016 before any §179 expense of $732,500. a. Compute the maximum 2015 depreciation deductions including §179 expense (ignoring bonus depreciation). b. Compute the maximum 2016 depreciation deductions including §179 expense (ignoring bonus depreciation). c. Compute the maximum 2016 depreciation deductions including §179 expense, but now assume that Steve would like to take bonus depreciation on the 2016 assets. d. Ignoring part (c), now assume that during 2016, Steve decides to buy a competitor’s assets for a purchase price of $350,000. Compute the maximum 2016 cost recovery including §179 expense (ignoring bonus depreciation). Steve purchased the following assets for the lump-sum purchase price.
|
|||||||||||||||||||||||||||||||||||||||||||
In: Accounting