The number of actual fire emergencies (emergencies where there
is actually a fire) per week as the fire service
in Bergen can be described with a Poisson distribution with
parameter λ = 1.8.
a)
What is the probability of exactly three calls in a week?
What is the probability of more than three calls in a week? What is
the probability of at least an emergency during one day?
What is the expected number of calls in a year?
The time, measured in number of days, that goes between two subsequent real fire events is exponentially distributed with parameter λ = 1.8 / 7 = 0.26 (the time between subsequent events in a Poisson process is exponentially distributed).
b)
What is the expected number of days between two consecutive
calls?
What is the probability that there will be more than 1 day between
two subsequent calls?
What is the probability that less than 2 days will elapse between
two subsequent calls?
What is the probability that there will be between 1 and 2 days
between two subsequent calls?
In: Statistics and Probability
The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table gives the value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Complete parts (a) through (e) below.
a. Construct a scatter plot. (Already Answered)
b. Use the least-squares method to determine the regression coefficients
|
b0 |
= |
_____ |
|
b1 |
= |
_____ |
|
(Round to two decimal places as needed.) |
c. Interpret the meaning of b0 and b1 in this problem. Choose the correct answer below.
A.The Y-intercept, b0, implies when the annual revenue is zero, the franchise value is b0,in millions dollars. The slope,b1,implies the revenue is equal b1, in millions of dollars.
B.The Y-intercept,b0,implies that if the annual revenue is zero, the franchise value is equal to the value of b0,in millions of dollars. The slope,b1,implies that the average franchise value is equal to b1,in millions of dollars.
C.An interpretation of the Y-intercept,b0,is not meaningful because no sports franchise is going to have a revenue of zero. The slope,b1,implies that for each increase of 1 million dollars in annual revenue, the franchise value is expected to increase by b1,in millions of dollars.
D.The Y-intercept,b0,implies that if the annual revenue is zero, the franchise value is equal to b0,in millions of dollars. The slope,b1,implies that for each increase of 1 million dollars in annual revenue, the franchise value is expected to decrease by b1,in millions of dollars.
d. Predict the mean franchise value (in millions of dollars) of a sports team that generates$200 million of annual revenue.
Yi=$_______million (Round to the nearest integer as needed.)
e. What would you tell a group considering an investment in a major sports team about the relationship between revenue and the value of a team?
A.The value of the franchise is not affected by the changes in revenue.
B.The value of the franchise can be expected to decrease as revenue increases.
C.The value of the franchise can be expected to increase as revenue decreases.
D.The value of the franchise can be expected to increase as revenue increases.
Data Table
| Annual_Revenue_(millions_of_dollars) | Franchise_Value_(millions_of_dollars) |
| 264 | 787 |
| 166 | 207 |
| 214 | 447 |
| 194 | 406 |
| 193 | 380 |
| 186 | 463 |
| 232 | 516 |
| 191 | 468 |
| 238 | 675 |
| 231 | 676 |
| 277 | 860 |
| 251 | 614 |
| 192 | 503 |
| 218 | 457 |
| 220 | 626 |
In: Statistics and Probability
2. You manage a farm that is looking to sell oranges in both California and Oregon. The demand for oranges in California is given by PCA = 25 - 0.5QCA and the demand for oranges in Oregon is POR = 19 - 0.3QOR. The total cost of selling oranges is TC = 10 + Q and the marginal cost is constant at MC = $1. If you can differentiate between customers in California and Oregon, you should charge a price of $13 in California and a price of $10 in Oregon.
3. You manage a farm that is looking to sell oranges in both California and Oregon. The demand for oranges in California is given by PCA = 25 - 0.5QCA and the demand for oranges in Oregon is POR = 19 - 0.3QOR. The total cost of selling oranges is TC = 10 + Q and the marginal cost is constant at MC = $1. If you cannot differentiate between customers in California and Oregon, and you are forced to charge the price that is optimal in California in both Oregon and California, how much profit will you lose compared to the profit you made in (2)? (Write answer without the negative sign nor the dollar sign.)
I answered question 2. I need help getting answer to 3. I got 40 but was marked incorrect
In: Economics
I have an issue this project
Background
The intensity of a hurricane is classified according to the Saffir-Simpson hurricane wind scale. The scale together with wind classifications of lower intensities is shown below:
|
Hurricane Wind Scale Classification |
Wind Speed Range (MPH) |
|
Not in scale |
0 – 38 mph |
|
Tropical storm |
39 – 73 mph |
|
Category One Hurricane |
74 – 95 mph |
|
Category Two Hurricane |
96 – 110 mph |
|
Category Three Hurricane |
111 – 129 mph |
|
Category Four Hurricane |
130 – 156 mph |
|
Category Five Hurricane |
157 mph or more |
Assignment
Write a Java program that asks the user to enter the wind speed. Use a series of nested if statements to determine the intensity of the storm using the above table. Output your result.
Validate your input to check for (invalid) negative wind speeds. For invalid wind speeds – output the classification: Invalid input.
Be sure to include a comment with your name, date, and a short description of the program.
Begin your program as follows:
import java.util.Scanner;
// TODO - add name, date, and purpose of
program here
public class Main {
public static Scanner
input = new
Scanner(System.in);
public static void
main(String[] args) {
long
speed;
String classification;
//
TODO - write your program here
}
}
Example Output
Enter wind speed (mph): 129
Classification: Category Three Hurricane
Additional Information
Do not include unnecessary if statements or unnecessary logical AND/OR clauses in your code.
My code
public class Main {
public static Scanner input = new Scanner(System.in);
public static void main(String[] args) {
long speed;
String classification;
void classify(long speed){
System.out.print("Categoty is");
if (speed >= 0 && speed <= 38) {// cheking for category 1
System.out.println("Not in scale");
}
else if (speed >= 39 && speed <= 73) {// cheking for category 2
System.out.println("Topical storm");
}
else if (speed >= 74 && speed <= 95) {// cheking for category 3
System.out.println("Category One Hurricane");
}
else if (speed >= 96 && speed <= 110) {// cheking for category 4
System.out.println("Category Two Hurricane");
}
else if (speed >= 111 && speed <= 129) {// cheking for category 5
System.out.println("Category Three Hurricane");
}
else if (speed >= 130 && speed <= 156) {// cheking for category 6
System.out.println("Category Four Hurricane");
}
else if (speed >= 157 && speed <= more) {// cheking for category 7
System.out.println("Category Five Hurricane");
}
}
}
}In: Computer Science
I have an issue this project
Background
The intensity of a hurricane is classified according to the Saffir-Simpson hurricane wind scale. The scale together with wind classifications of lower intensities is shown below:
|
Hurricane Wind Scale Classification |
Wind Speed Range (MPH) |
|
Not in scale |
0 – 38 mph |
|
Tropical storm |
39 – 73 mph |
|
Category One Hurricane |
74 – 95 mph |
|
Category Two Hurricane |
96 – 110 mph |
|
Category Three Hurricane |
111 – 129 mph |
|
Category Four Hurricane |
130 – 156 mph |
|
Category Five Hurricane |
157 mph or more |
Assignment
Write a Java program that asks the user to enter the wind speed. Use a series of nested if statements to determine the intensity of the storm using the above table. Output your result.
Validate your input to check for (invalid) negative wind speeds. For invalid wind speeds – output the classification: Invalid input.
Be sure to include a comment with your name, date, and a short description of the program.
Begin your program as follows:
import java.util.Scanner;
// TODO - add name, date, and purpose of
program here
public class Main {
public static Scanner
input = new
Scanner(System.in);
public static void
main(String[] args) {
long
speed;
String classification;
//
TODO - write your program here
}
}
Example Output
Enter wind speed (mph): 129
Classification: Category Three Hurricane
Additional Information
Do not include unnecessary if statements or unnecessary logical AND/OR clauses in your code.
should be written:
else if (speed <= 73) { // checking for category 2
My code
mport java.util.Scanner;
public class Main
{
public static Scanner input = new Scanner(System.in);
public static void main(String[] args) {
long speed;
String classification="";
System.out.println("Enter wind speed (mph): ");
speed= Main.input.nextLong();
if (speed >= 0 && speed <= 38) {// cheking for
category 1
classification="Not in scale";
}
else if (speed >= 39 && speed <= 73) {// cheking for
category 2
classification="Topical storm";
}
else if (speed >= 74 && speed <= 95) {// cheking for
category 3
classification="Category One Hurricane";
}
else if (speed >= 96 && speed <= 110) {// cheking for
category 4
classification="Category Two Hurricane";
}
else if (speed >= 111 && speed <= 129) {// cheking
for category 5
classification="Category Three Hurricane";
}
else if (speed >= 130 && speed <= 156) {// cheking
for category 6
classification="Category Four Hurricane";
}
else if (speed >= 157) {// cheking for category 7
classification="Category Five Hurricane";
}
if(speed>=0)
{
System.out.print("Category is "+classification);
}
else
{
System.out.println("Invalid input.");
}
}
}
In: Computer Science
An economist needs a deep understanding of price elasticity
concepts and their applicability in today’s economy. 4.1 Define
price elasticity of demand and how it is measured.
4.2 Explain the FIVE (5) categories of price elasticity of demand.
4.3 Explain the relationship between the total revenue from the
sales of a product and the price elasticity of the demand for the
product.
In: Economics
Consider the constant-elasticity demand function Q = p−ε, where ε > 0.
Solve for the inverse demand function p(Q).
Calculate the demand price elasticity.
Show that p(Q)/MR(Q) is independent of the output level Q. (Hint: Use the relationship between marginal revenue and the elasticity of demand.)
In: Economics
Type or paste question here
In: Accounting
Enumerate and briefly explain the differences between the IFRS and US GAAP on the following issues:
Treatment of Contingent Assets and Liabilities
Treatment of Asset Recognition
Treatment of Revenue Recognition
Treatment of Options
Treatment of Onerous Contracts
Treatment of Restructuring Provision
Treatment of Measurement of Deferred Taxes
Treatment of Service Contracts
Treatment of Financial Assets
In: Accounting
Enumerate and briefly explain the differences between the IFRS and US GAAP on the following issues:
Treatment of Contingent Assets and Liabilities
Treatment of Asset Recognition
Treatment of Revenue Recognition
Treatment of Options
Treatment of Onerous Contracts
Treatment of Restructuring Provision
Treatment of Measurement of Deferred Taxes
Treatment of Service Contracts
Treatment of Financial Assets
In: Accounting