Question:

Which of the following MATLAB selection statements is logically equivalent to the following code snippet? if y > 55 x = 55; if y

Which of the following MATLAB selection statements is logically equivalent to the following code snippet?
if y > 55
x = 55;
if y > 44
x = 44;
if y > 33
x = 33;
end
a. if y> 55
X = 55;
else
if y> 44
x = 44;
else
if y> 33
x = 33;
else
x = 33;
end
b. None of the choices is correct.
c. if y> 55
x = 55;
else if y> 44
x = 44;
else if y> 33
x = 33;
end
d. if y> 55
x = 55;
else
if y > 44
x = 44;

Which of the following MATLAB selection statements is logically equivalent to the following code snippet? if y > 55 x = 55; if y > 44 x = 44; if y > 33 x = 33; end a. if y> 55 X = 55; else if y> 44 x = 44; else if y> 33 x = 33; else x = 33; end b. None of the choices is correct. c. if y> 55 x = 55; else if y> 44 x = 44; else if y> 33 x = 33; end d. if y> 55 x = 55; else if y > 44 x = 44;

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Primitive Datatypes Solutions

B.6 Project Deliverables The project will have one deliverable, the finished analysis application. B.7 Implementation Plan The implementation plan focuses primarily on the two phases and the rollout of the prototype and final application. At the end of each phase, the application and all associated resources will be rolled out to customers. These resources comprise of a brief training video series and two weeks of initial 24/7 support. We will also include a set of training data to ensure that no use trains on a production dataset. In terms of access to the software, we will restrict the code repository to only members of the assigned development team. This will prevent any hallway testing or edits to the code base by other employees of analysis. This will help ensure proper change control management and ensure that no developer can push changes without approval. If needed, we will provide a tool to convert .DB files or .SQL files to CSV files so that the data can be properly changed. This conversion tool must be able to also convert data back to the original file format and be easy to use. B.8 Evaluation Plan The evaluation plan will focus on how well the program is implemented into existing daily actives. We must provide surveys and collect data from super users on statistics such as how many times a user opens the application daily. To ensure that our tool is providing useful data protection, we must also track use cases and ensure that proper data is being inserted into the analysis. As mentioned before, the program should provide a meaningful service without interfering with sensitive data that could interfere with HIPPA or other data compliance. Additionally, we need to confirm that the noise being added to datasets does not go beyond the existing data or create errors. To accomplish these tasks, we will need to initially track usage, data, and noise statistics for customers that use the product during the first deployment phase. This data must be stored locally with the client and transferred in a secure way. Once we are certain the application is working as intended, this data should be destroyed, and stakeholder sign off should begin. The initial goal of our testing will be to determine as many errors and data discrepancies as possible. As the amount of errors fall into an acceptable range and deployment is solidified, our testing focus will then switch to ensure a level of data privacy is maintained. To accomplish this, we will ask for periodic customer reports on data statistics that does not reveal any sensitive information to us. Our team will analyze these statistics for future updates and rollouts