• Using jGRASP, write a Java program named LastnameFirstname09.java, using your last name and your first name, that does the following:
  • Declare an array reference variable called myFavoriteSnacks for an array of String type.
  • Create the array so that it is able to hold 10 elements - no more, no less.
  • Fill the array by having each array element contain a string stating one of your favorite foods/snacks.
    • Note: Only write the name of the snack, NO numbers (i.e. Do not write "1. cookies")
  • Use a loop to print out the contents of the array.
• Your program MUST:
  • Actively use in-line comments stating what each section of code does.
  • Print out the numbers 1 to 10 -- NOT 0 to 9 (see Example Output below)
• Your program must conform to the Java coding standards

You may need to use the appropriate technology to answer this question.

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value =

State your conclusion about method of loading and unloading.

Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.Because the p-value > α = 0.05, method of loading and unloading is significant.    Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is significant.

Find the value of the test statistic for type of ride.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about type of ride.

Because the p-value > α = 0.05, type of ride is significant.Because the p-value > α = 0.05, type of ride is not significant.    Because the p-value ≤ α = 0.05, type of ride is significant.Because the p-value ≤ α = 0.05, type of ride is not significant.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about interaction between method of loading and unloading and type of ride.

Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.

Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.    

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.

You may need to use the appropriate technology to answer this question.

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value =

State your conclusion about method of loading and unloading.

Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value > α = 0.05, method of loading and unloading is significant.    Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is significant.

Find the value of the test statistic for type of ride.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about type of ride.

Because the p-value > α = 0.05, type of ride is significant.Because the p-value ≤ α = 0.05, type of ride is not significant.    Because the p-value > α = 0.05, type of ride is not significant.Because the p-value ≤ α = 0.05, type of ride is significant.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about interaction between method of loading and unloading and type of ride.

Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.   

Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.

You may need to use the appropriate technology to answer this question.

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value =

State your conclusion about method of loading and unloading.

Because the p-value ≤ α = 0.05, method of loading and unloading is significant.

Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.   

Because the p-value > α = 0.05, method of loading and unloading is significant.

Because the p-value > α = 0.05, method of loading and unloading is not significant.

Find the value of the test statistic for type of ride.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about type of ride.

Because the p-value > α = 0.05, type of ride is not significant.

Because the p-value ≤ α = 0.05, type of ride is significant.    

Because the p-value > α = 0.05, type of ride is significant.

Because the p-value ≤ α = 0.05, type of ride is not significant.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about interaction between method of loading and unloading and type of ride.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.    

Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.

Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.

Identify the 3 elements of the fraud triangle and explain how they work. Also, using the internet provide an example of fraud discovered by external auditors and try to identify the red flags related to the fraud.

1. In one paragraph or less, propose the best solution to the following experimental problems:
   A) You are trying to do a two-colour FRAP experiment using epifluorescence microscopy. You make FP constructs of your two proteins and confirm that each retains its function within your cells. One of the two proteins is coupled to a green emitter and one is coupled to a red emitter. You test each FP construct separately within the cell line (cell-FPgreen and cell-FPred), and find that each protein (based on the FP signal) localizes to the nucleus, showing a bright fluorescence emission in either the green (strain-FPgreen) or red (strain-FPred), and you find that you are able to track the movement of each protein separately during a FRAP experiment. However, when you express both FP constructs together in the same strain (strain-FPgreen-FPred), you see predominantly red fluorescence. What might be happening, and how could you remedy it?

Use your understanding of game theory and the Prisoner's Dilemma to explain the logic of multilateral trade agreements

Briefly explain the Austrian Business Cycle. Use diagrams to support your statements.

use your own words to explain how legal system affect accounting?

Use your own words to explain why a typical form of epinephrine is applied with a swab locally to control bleeding during nasal surgery. Why is this route preferred and how does this drug work?