USA spends about 54% of its total federal budget on the Military. Military spending in the USA is far greater than any nation in the world. (USA spends more on military than the next 10 highest spenders combined, 4 times China who is second on the list etc) Why does USA need to spend so much more on its military than other countries (cause), and what is/are the results of all this spending (effect)?
The essays should not be a simple list of causes or effects, but an essay that takes a position on why a condition exists and or argues the results of this condition. Some writers may even be able to create a strong focused thesis by suggesting a solution or arguing for some clear change of policy. The goal is to create an essay that allows you to develop a position or argument in a cause and effect essay. A strong thesis statement is very important and students should underline it in the final draft of their essay. Essay should be 4 pages long, double spaced , and it must have a minimum of 3 academic sources—no Wikipedia, encyclopedias, dictionaries etc. Use the library resources to find legitimate, academic sources
In: Economics
Please check my work.
The purpose of this exercise is to provide students with the opportunity to normalize data.
Assignment:
Identify what fields from the list below belong to which table. If you are uncertain, place the field under the column with your argument on why it should belong. Write your answers in the columns below the table names.
|
COURSE |
FACULTY |
LOCATION |
SECTION |
STUDENT |
|
CourseID CourseNumber CourseName CreditHours Status Description Days StartTime EndTime |
FacultyID Status FirstName LastName WorkPhone HomePhone CellPhone Experience Rank PIN |
LocationID State City Zip Status |
SectionID SectionNumber SeatAvailable Building Status CourseID Room Capacity |
StudentID FirstName LastName Status Address LocationID WorkPhone DOB |
Field List – choose and paste above in correct column
StudentID, Experience, Room, CourseNumber, EndTime, Days, WorkPhone, Status, FacultyID, CreditHours, DOB, PIN, LastName, CourseID, Rank, Description, WorkPhone, City, Building, State, HomePhone, Email, SeatsAvailable, Status, FirstName, MI, CellPhone, MI, CourseName, Address, Status, SectionID, CourseID, FirstName, SectionNumber, StartTime, LocationID, Status, Capacity, Status, Zip, LastName, LocationID
In: Computer Science
2. Island Water Sports is a business that provides rental equipment and instruction for a variety of water sports in a resort town. On one particular morning, a decision must be made of how many Wildlife Raft Trips and how many Group Sailing Lessons should be scheduled. Each Wildlife Raft Trip requires one captain and one crew person, and can accommodate six passengers. The revenue per raft trip is $120. Ten rafts are available, and at least 30 people are on the list for reservations this morning. Each Group Sailing Lesson requires one captain and two crew people for instruction. Two boats are needed for each group. Four students form each group. There are 12 sailboats available, and at least 20 people are on the list for sailing instruction this morning. The revenue per group sailing lesson is $160. The company has 12 captains and 18 crew available this morning. Develop the linear programming problem and solve the linear programming model to maximize the number of customers served while generating at most $1800 in revenue and honoring all reservations. (Hint: You need 2 decision variables to develop this LP problem.)
In: Advanced Math
In: Psychology
Kelsey Matthau is an advisor for a high school. The
high school offers a class for students preparing to take college
admissions exams. Kelsey is looking for evidence that the
population mean score of students who attend the college admissions
class is greater than the population mean score of students who do
not attend. Since the school has every student take the exam
during school hours, Kelsey has access to the students'
scores.
Using information from past years, she assumes that
the population standard deviation is 5.42 for the
students who attended the class and 6.17 for students who
did not attend the class. Without looking at the names of the
students, Kelsey randomly selects the college admissions exam
scores of students who attended the class and of students who did
not attend the class.
The results of the samples are provided in the table
below. Explain whether a hypothesis test for the difference between
two means of independent samples is appropriate, and if so,
determine the null and alternative hypotheses for this hypothesis
test. Let μ1 be the population mean exam score for
students who attended the class and μ2 be the population
mean exam score for students who did not attend the
class.
In: Statistics and Probability
|
Description: |
The students in a class would really like it if Professor NotHearingIt would move an homework assignment back a week. None of the students wish to confront the professor and so decided to get in a circle and remove every Nth student until only one is left. This student is the one who must go ask for the extension. One student, Joseph, does not actually wish to move the assignment back. At the same time he does not want the other students to know that he is the only one who feels this way. He does not know what number N will be decided for deciding speaker until the process begins. He wants to know where to stand in the circle so that he will be chosen to go speak to the professor so the assignment will not change. You are to build the simulation to help Joseph decided where to stand for any given N value. |
|
Program: |
You are to create a file called CircleQueue.java. You will create two class CircleQueue and Node. The queue will be a circular queue with the nodes storing the students’ names and starting position. This queue must be reference based since you will not know how many students to have at the beginning. Your Node should be generic but have two generic values. The students name will be a string while starting position will be an integer, but the node should be generic and accept any two values. You are given a file called names.txt. This file contains the name of each student on a line. You must read in each student and add him or her to the queue. The node created will contain the student’s name as well as some integer that keeps track of the order added to the queue as the starting position. NOTE: this starting position will not change will NOT change after set. The first position will be 0 and the last will be size – 1. Once the queue is filled you will go through and start removing students. First ask the user to enter the N value to be the counter for removing students (for example an N of two will remove person 2,4,6,etc…) Start with the first person and dequeue him or her. If the person does not meet the order corresponding to the number, add the student back to the queue. If the student does correspond to the N value, excuse the student and do not add him or her back. Do this until you are left with one student, and display the name and starting position of the student who must go talk to the professor. |
|
Input: |
There is an input file called names.txt were each line contains a name. These are the names in the file: Sammy |
|
Output: |
Enter the number used to remove people from list: 2 Sammy is excused. Susie is excused. Angela S. is excused. George is excused. Thomas the Great is excused. Jack Spratt is excused. Steven is excused. Chuckles the Clown is excused. Joseph is excused. Jim Bob is excused. What's His Name is excused. Eileen is excused. Elizabeth Anne is excused. Kenny is excused. Daniel is excused. Mr. Know-it-All is excused. Ruth is excused. Robert : 4 must go talk to the instructor. |
In: Computer Science
SHOW WORK for both:
1. After examing her college attendance records for the past few
years, Professor Bea Earlee
has determined that there is a 10% chance of any one student coming
late to her class.
Eight students are randomly selected from her class rosters.
Assuming her students arrive
to class independently of one another, what is the probability:
i) None of the eight students arrive late to class
ii) At most four students arrive late to class
iii) At least three students arrive late to class
iv) Exactly five students does NOT arrive late to class
2. After examing her college attendance records for the past few
years, Professor Bea Earlee
has determined that there is a 10% chance of any one student coming
late to her class.
Eight students are randomly selected from her class rosters.
Assuming her students arrive
to class independently of one another, what is the probability:
i) None of the eight students arrive late to class
ii) At most four students arrive late to class
iii) At least three students arrive late to class
iv) Exactly five students does NOT arrive late to class
In: Statistics and Probability
When you try to automatically process human speech, you frequently try to understand what the person was saying (or trying to say) from very ambiguous sounds. For instance, the phrases “Recognize speech” and “Wreck a nice beach” sound very similar when pronounced by the average American speaker. As humans, when we process speech, we always use the context of a word to judge what the speaker is probably trying to say. Our minds automatically discard options that are very inconsistent with what we have inferred about the sentence so far, and we reevaluate our earlier “guesses” based on new sounds that come in. For example, if your friend tells you “I didn’t recognize you”, you infer pretty safely from “you” that it wasn’t “I didn’t wreck a nice you”, whereas if your friend says “I didn’t wreck a nice car”, you find this more likely than “I didn’t recognize car”. If we want to get machines to do this kind of reasoning, we can use the following simplistic model. There is a known directed graph G = (V, E). Each node v ∈ V encodes an initial portion of an (intended) sentence. Each directed edge e has two things associated with it: (1) a probability pe ∈ [0, 1], and (2) a label λe ∈ Σ, where Σ is an alphabet of phonemes.3 We assume that for each node v and each label `, there is at least one edge e = (v, u) out of v labeled by λe = ` and at least one edge e = (u, v) into v labeled by λe = `. Also, we assume that the sum of probabilities of all edges out of v is 1, i.e., P u:(v,u)∈E p(v,u) = 1. In addition to the graph, you are given a start node s (which corresponds to not having heard anything yet) and a sequence of observed phonemes L = `1`2`3 · · · `k of length k. Your goal is to find a directed path P = (e1, e2, . . . , ek) in G of length k, starting from s, such that (1) the sequence of labels on P matches the given sequence, i.e., λei = `i for all i, and (2) subject to this requirement, the probability Qk i=1 pei is maximized. Such a path P (and its final node v) give a good guess as to what the speaker was trying to say. Give (and analyze) a polynomial-time algorithm (polynomial in the size of the graph and the length of the sequence) for finding such a path P. Note: The main difficulty arises from the fact that a node v may have multiple outgoing edges with the same label. This corresponds to not being able to tell for sure whether you heard “Recognize” or “Wreck a nice”. Otherwise, this problem would be nearly trivial.
In: Computer Science
Using E° = .697 V and the Nernst equation, calculate the concentration of Hg2+ in a sample of pond water if [Sn2+] = 0.500 M, [Sn4+] = 0.305 M and Ecell = 0.711 V.
In: Chemistry
The concentration of grain alcohol (C2H5OH) in whisky is given in "degrees proof", which is twice the percent alcohol by volume (v/v). What are the mole fraction and molality of C2H5OH in 80.
In: Chemistry