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Description The project requires a Linux environment that has the compiler tool ...

Description The project requires a Linux environment that has the compiler tools flex and bison together with make and the GNU g++ compiler.

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Description Question 1   SDLC stands for: Software Development Life Cycle ...

Description Question 1   SDLC stands for: Software Development Life Cycle Software Deployment Life Cycle Soft Demands Long Collaboration Software Details Limitations and Contracts 1 points   Question 2   The last phase of the SDLC is the collection of feedback to begin the SDLC once more. is the collection of feedback for improvement on the next project. Is when the code is finally written and compiled into an application. is understanding the problem in detail. 1 points   Question 3   The first phase of the SDLC is the collection of feedback to begin the SDLC once more. is the collection of feedback for improvement on the next project. is when the code is finally written and compiled into an application. is understanding the problem in detail. 1 points   Question 4   A Use Case diagram: Is used to plan out the structure of objects in a system. is used to illustrate how your program will relate and support your organization is used to illustrate the interactions between different objects. is used to determine how the program will be used. 1 points   Question 5   What is the output of the following print( nums[-4] ) if nums = "1234567" 5 4 67 Error message is displayed. 1 points   Question 6   What is the output of the following print( 2: ) if nums = "1234567" 567 4 67 34567 1 points   Question 7   Which function call would you use if you wanted to separate a string of text into a list of text values? divide() split() index() eval() 1 points   Question 8   What is the output of the following print( :-1 ) if nums = "1234567" 1234567 123456 234567 34567 1 points   Question 9   What is the output of the following print( :-1 ) if nums = [1, 2, 3, 4, 5, 6, 7]" 1 2 3 1 2 3 4 5 6 2 3 4 5 6 7 Nothing, cannot operate on lists. 1 points   Question 10   What is the output of the following print( to_upper(“hello there!”)). hello there! Hello there! Hello There! HELLO THERE!

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Description Deliverables (HOW) 1.Load the Ames housing dataset. 2.Perform Exp ...

Description Deliverables (HOW) 1.Load the Ames housing dataset. 2.Perform Exploratory Data Analysis and use descriptive statistics to describe the data. 3.Prepare the dataset for modeling by imputing missing values with the variable's mean value or any other value that you prefer. 4.Use the "cor()" function to produce a correlation matrix of the numeric values. 5.Produce a plot of the correlation matrix, and explain how to interpret it. (hint -check the corrplot or ggcorrplot plot libraries) 6.Make a scatter plot for the X continuous variable with the highest correlation with SalePrice. Do the same for the X variable that has the lowest correlation with SalePrice. Finally, make a scatter plot between X and SalePrice with the correlation closest to 0.5. Interpret the scatter plots and describe how the patterns differ. 7.Using at least 3 continuous variables, fit a regression model in R. 8.Report the model in equation form and interpret each coefficient of the model in the context of this problem 9.Use the "plot()" function to plot your regression model. Interpret the four graphs that are produced. 10.Check your model for multicollinearity and report your findings.What steps would you take to correct multicollinearity if it exists? 11.Check your model for outliers and report your findings. Shouldthese observations be removed from the model? 12.Attempt to correct any issues that you have discovered in your model. Did your changes improve the model, why or why not? 13.Use the all subsets regression method to identify the "best" model. State the preferred model in equation form. 14.Compare the preferred model from step 13 with your model from step 12. How do they differ? Which model do you prefer and why

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Description Details: The purpose of this assignment is to apply data distribu ...

Description Details: The purpose of this assignment is to apply data distributions to discrete and continuous data and justify the selection of the distributions. For this assignment, you will use the "Random Variables" dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs. Part 1: Identify if the following random variables are discrete or continuous. Number of defected items in a shipment. Height of males (in mm) who attend Grand Canyon University. Yearly income among all people in the United States. Whether or not a high school graduate is accepted into a college. Time that it takes for a person to run a mile. The number of emergency hospital visits that each person had in the last 12 months. Part 2: Let X be a random variable of the outcome after rolling a six-sided die one time that is not fair. In fact, the die is designed to never result in a 1 or 6, while the other outcomes (i.e., 2, 3, 4, and 5) are equally probable. What are the individual probabilities for all possible values of X? What are the cumulative probabilities for all possible values of X? What is P[X = 3]= ? What is P[X ?3] = ? What is P[3 ?X ?5] = ? Part 3: The dataset provided consists of the following random variables: BMI: The body mass index of a random set of people. Distance: The distance (in feet) that a baseball player hit the ball. Height: The height of males (in mm). Income: The income (in dollars) of people in a large company. Pass: The outcome when taking an exam (1=Pass; 0=Fail). Wait Time: The time (in minutes) that it takes when waiting for the train. Answer each question below. Use SPSS as needed, and include the software outputs as part of the Word document you submit. What is a Q-Q plot? Given a set of realized values of a random variable, how can a Q-Q plot be used to assess the distribution of the random variable? Using histograms and Q-Q plots (except for binomial), match each random variable to one of the following distributions: Binomial (with N=1, P=0.7), Chi-square (with d.f.=20), Exponential, Lognormal, Normal, and Uniform. APA format is not required, but solid academic writing is expected. This assignment uses a grading rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. PLEASE REMEMBER THE ASSIGNMENT MUST HAVE THE FOLLOWING... Identification of random variables as discrete or continuous is complete and correct.,Solutions for probability questions are complete and correct.,Answers to multiple regression analysis questions and supporting SPSS output charts are complete and correct. AND ANSWER THE FOLLOWING TWO QUESTIONS...QUESTION 1 Summarize key data distribution concepts including probability mass functions (PMF), probability density functions (PDF), and cumulative distribution functions (CDF). Based on your organization or any organization you are most familiar with, provide an example of a PMF, an example of a PDF, and an example of a CDF, based on the type of data used in the organization. How would you summarize each of these to someone who is not familiar with each of these functions? QUESTION 2- Suppose you had a six-sided die where each number (1, 2, 3, 4, 5, and 6) has the same probability of showing up (1/6). If the die is rolled an infinite number of times and the number recorded, what will be the average value that shows up? Is the average value one of the actual possibilities (1, 2, 3, 4, 5, or 6)? Why or why not?

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Description The Android client app you will you construct comes from the code p ...

Description The Android client app you will you construct comes from the code pattern on this website: http://androidpala.com/android-httpurlconnection-post-get/ In this exercise, you will Modify an existing Android client application to send a service request to a java servlet. The java servlet (server) will reply back to the Android client with a response. Configure and run a java servlet (server) to run on your local machine. Configure the Java servlet. Download the latest Eclipse IDE (Oxygen) and create a new dynamic web project. Use the Java source file supplied by your instructor as the source code for your dynamic web project. Explore the code and note the implementations of the get and post methods. Launch the java servlet by using the built-in Tomcat Server that comes with the latest Eclipse Oxygen distribution. Take a screenshot of the Java servlet running. Note that the Eclipse Oxygen environment has a built-in web browser. In your screenshot, add a textbox and in the textbox, identify the service that is being performed by the servlet. Obtain the Android client app form your instructor. The name of this client app is “HttpExample.” This example already has the built-in code to send requests and receive responses from an external server. Take screenshots of the messages being displayed after clicking on the “GET METHOD” and “POST METHOD” buttons. In this step, you will modify your Android client to “consume” the service provided by the Java servlet running on your local host machine. Explore the code the Android app. Note how the button click events are used to send a request and receive a response. Using this code pattern, add a new button and a data entry textbox to send user data (from the data entry textbox) to the Java servlet when the button is clicked. Write the Java servlet response into the original Android app’s textbox. Take screenshots of your Android app before requesting the service and after receiving a response. Assignment Deliverables (all in a ZIP file): The screenshots list in the specifications above. A detailed overview of the steps taken to complete your application. The project folder containing all source code for your application. Ensure that your assignment deliverables are attached before submitting your assignment.

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Description You did such a fantastic job with Project 1, I could use your assis ...

Description You did such a fantastic job with Project 1, I could use your assistance on a much easier continuance / modification of it, Project Two. In this continuance, you will edit the c++ file you created and patch up some potential security concerns. I've attached the previous module's completed assignment and rubric as an example, done on another file. This should be the last time I require assistance, thank you for expanding my knowledge! Let me know in a reply if you'd like me to send you the c++ file you created originally, as I still have it.

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Description Write a program in PLP assembly that repeatedly reads the value of ...

Description Write a program in PLP assembly that repeatedly reads the value of the switches (address: 0xf0100000) and displays a pattern on the LED array based on what switches. Each time the switch value is read, the pattern should be displayed regardless of whether the switch value has changed or not since the last time it was read. The table below indicates the pattern that should be displayed for each possible switch setting: switch hex binary 0 0x00000001 0b00000001 Turn all 8 LEDs on and then off 1 0x00000002 0b00000010 Turn all even numbered LEDs on and then off 2 0x00000004 0b00000100 Turn all odd numbered LEDs on and then off 3 0x00000008 0b00001000 Cycle through all 8 LEDs in order with only one LED on at a time (a marquee) Other Other Other All LEDs off

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Description Simple Regression Analysis The purpose of this assignment is to ap ...

Description Simple Regression Analysis The purpose of this assignment is to apply simple regression concepts, interpret simple regression analysis models, and justify business predictions based upon the analysis. For this assignment, you will use the "Trucks" dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs. The business characteristics of n = 250 U.S. trucking and delivery companies for calendar year 2011 were recorded. Among the characteristics studied were the number of drivers and the number of trucks (power units) each company employed. Part 1: Given that the data consists of counts and range of counts is large, a natural log transformation is usually performed to improve the linear model results. Apply a natural log transform to both variables and then plot the Y = log(Trucks) vs. X = log(Drivers). Is there a linear relationship? Justify your answer by providing the SPSS output as an illustration. Part 2: Build a simple linear model by regressing Y on X and testing whether or not a relationship exists between the number of drivers and the number of trucks. Address the following questions in your written response: After fitting the model, plot the standardized residuals (on vertical axis) vs. the standardize predictions (on horizontal axis). Is there a pattern? How would you interpret the pattern or lack of pattern? After fitting the model, derive the normal probability plot and interpret what the plot means. What is the coefficient of determination, R2, of the model? How would you interpret the R2? What is the estimate of ?1? How would you interpret the estimate of ?1? Is the estimate of ?1 significantly different than 0? Assume an ? = 0.01. What is a 95% confidence interval for ?1? How would you interpret the 95% confidence interval for ?1? If a new trucking and delivery company with 4,900 drivers were to be formed, how many trucks would you expect the company would employ based on the model? APA format is not required, but solid academic writing is expected. This assignment uses a grading rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. Please include ... Discussion of the linear relationship and supporting SPSS output chart are complete and correct,Answers to simple regression analysis questions and supporting SPSS output charts are complete and accurate, and Writer is clearly in command of standard, written, academic English. Also please answer these 2 questions... QUESTION 1 - Suppose you wanted to understand the relationship between a customer's yearly income (X) and the number of movies (Y) the customer watched in a year. You then gather data on incomes and the number of movies watched in a year. The range of incomes in your data set is $5K to $150K. After fitting a simple linear model and performing all the appropriate diagnostics, the model showed that, on average, for every $10K in income, the customer watched 1.5 movies in the year. So, for example, if a customer earned 60K in a year, he or she would be expected to watch nine movies during the year. Now you want to apply this model to your very wealthy friend who will earn $1 million in the next year. Is this an appropriate application of your model? Why or why not? Provide specific examples to justify your opinion. QUESTION 2- If you regress daily high temperature (Y) on the amount of ice cream sales (X), you will notice that there is a strong positive correlation between the two. In other words, as daily ice cream sales increase, the daily high temperature increases. This implies that if we knew the amount of ice cream sales in a particular day, we could estimate, with a high level of accuracy, the high temperature in that day. Does this mean that if we wanted to increase the daily temperature, we need to sell more ice cream? Explain why or why not?

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Description Assignment Instructions: Term Project - week 8 - (17%): You were ...

Description Assignment Instructions: Term Project - week 8 - (17%): You were just hired by an airline industry to create a database to record the various airlines and the pilots that work for them Discussions with the industry representatives focused on two initial entities, Airlines and Pilots; the following key points were agreed: 1. Each pilot is assigned a unique PilotID. 2. Each AirlineID is unique 3. Each pilot may work for one airline, each airline can have many pilots. 4. FName, LName, JobTitle and Salary describe each pilot (with the obvious meaning) 5. AirlineID, NPlanes, NRoutes, NPilots describe each airline (NPlanes number of planes, NRoutes number of routes, NPilots number of pilots) 6. No fields beyond those in the report are needed. The objective of this exercise is to demonstrate an understanding of some basic concepts covered in the course. The exercise is a straight forward application of those concepts – there are no “hidden” complexities – should you identify something in the key points or data that adds complexity, contact the instructor before submission – you may be over thinking the exercise. The sample data may not represent all possible values of each field – consider each field’s domain during the design. The objective is to replace the following report with a relational database. The submission will consist of a word compatible document to record the design process, and an Access DB. Here is the relational schema (table notation) for the above report / table: PilotAirlines (PilotID, FName, LName, JobTitle, Salary, AirlineID, NPLanes, NRoutes, NPilots) The functional dependencies are: PilotID - - > FName, LName, JobTitle, Salary, AirlineID, NPLanes, NRoutes, NPilots PilotID - - > FName, LName, JobTitle, Salary, AirlineID AirlineID - - > NPLanes, NRoutes, NPilots The specific tasks are listed below, the percentage in parenthesis corresponds to the grade weight for each task. Name your document Last Name_TermProject (i.e. Smith_TermProject). When you are asked to provide an explanation or description, include enough content to demonstrate that you understand the definition, term, concept, etc. and how it applies to this exercise. SUGGESTION: Review the Terms and Concepts Forum, especially the One-to-Many Normalization Process: Parts and Suppliers example. There is also a normalization MP4 file that can be downloaded from the Resources section. Incorporate the following outline in your submission – include the section numbers – not the questions or other content from the instructions. 1) Review the existing report, functional dependencies provided and the sample data (as well as field domains and common knowledge) and document any assumptions you feel are appropriate (beyond those in the key points) and identify initial entities (person, place, thing). (10%) 2 Define functional dependency, and explain one row of the functional dependencies provided above in plain English (use field names). (15%) (you do not need to explain partial or transitive dependency) 3) Based on multiplicity - explain the relationship between the initial Entities in plain English – (either one-to-many, or many-to-many). (15%) 4) Design: specify all tables and fields at each normal form level a) First Normal Forum (1NF) assessment / action – if needed 10% Copy the 1NF definition from the text (include quotes and page number) Assess the UNF table provided and if necessary, make the changes needed to conform to the 1NF definition. Document the resulting 1NF table(s) using relational schema notation or spreadsheet format (see the above example or page 111 Figure 4.2.6 of the text). Explain how each table(s) meets the 1NF definition (use field names) b) Second Normal Form (2NF) assessment / action – if needed 10% Copy the 2NF definition from the text (include quotes and page number) Assess the 1NF table(s) in the previous section and if necessary, make the changes needed to conform to the 2NF definition. Document the resulting 2NF table(s) using relational schema notation or spreadsheet format. Explain how each table meets the 2NF definition (use field names) c) Third Normal Form (3NF) assessment / action if needed 10% Copy the 3NF definition from the text (include quotes and page number) Assess the 2NF table(s) in the previous section and if necessary, make the changes needed to conform to the 3NF definition. Document the resulting 3NF table(s) using relational schema notation or spreadsheet format. Explain how each table meets the 3NF definition (use field names) 5) Use the 3NF tables in your design, to create an new MS Access database, load the sample data provided, Name your database Last Name_TermProject (i.e. Smith_TermProject). (5%). 6) Create a Query, that provides the results for the following request: List each PilotID, FirstName, LastName, the Airline each pilot works for, sorted by pilot. (5%) 7) Create a Form: New Pilot Input (5%) 8) Create a Report: Pilot List – list all pilots, their first and last names, and Salary (5%) Upload the database to the assignment area as one of the deliverables 9) Submission content organization, clarity, spelling and grammar (10%)

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Description CSE 230 Project 3: UART Palindrome Checker Learning Objectives: ? ...

Description CSE 230 Project 3: UART Palindrome Checker Learning Objectives: ? Create modular code and interface with unfamiliar modularized code The Task In this project, you will be writing a program that receives a string of characters via the UART, checks if this string is a palindrome, and then uses a print function to print either “Yes” or “No”. A palindrome sequence of characters (typically a word or phrase) that is the same both forwards and backwards. For this project, strings will be terminated using a period (‘.’). You may assume that a string will contain at least one character in addition to a period. You will not need to handle empty strings or strings with only a period. Your program should be able to handle multiple strings sent one after another or concatenated together. For example, the string: “abba. data.” should print “Yes” followed by “No” on the next line. Spaces should be ignored when checking for a palindrome and the palindrome should not be case sensitive. For example, “A nut for a jar of Tuna.” would be considered a palindrome. Print Function A skeleton PLP project file is available to download on Blackboard. The PLP project includes a second ASM file titled, project3_print.asm. This ASM file contains the print function used in this project. PLPTool concatenates all ASM files within a PLP project into a single location in memory (unless additional .org statements have been added to specify different location for code). No changes to project3_print.asm should be made. When called, depending on the value in register $a0, the following string will be displayed on the simulated UART device’s output. If $a0 contains a zero then “No” will be displayed and if $a0 contains a non-zero value (e.g. one) then “Yes” will be displayed. The print function is called using the following instruction: call project3_print To use the print function, your PLP program needs to initialize the stack pointer ($sp) before performing the function call (or any other operations involving the stack pointer). For this reason, the skeleton project file includes an initialization that sets the stack pointer to 0x10fffffc (the last address of RAM). Palindrome Checking Strategies There are two strategies I would recommend for saving your string in in memory and checking to see if it is a palindrome. The first would be to use only an array and keep a pointer (a register containing a memory address) for both the first element in the array (commonly referred to as a head pointer) and last element in the array (commonly referred to as a tail pointer). As you add elements to your array, update your tail pointer so that it moves to the new last element in the array. When you have reached the end of your string (a period has been received), you can perform your palindrome check comparing the characters your head and tail pointers point to and, if they point to the same character, move them both inwards towards the center of your array. If the pointers cross and all the characters were the same, your string was a palindrome. The second strategy would be to use an array, treated as a queue, and the stack. You can traverse the array from the start (the first character saved) to the end (the last character saved) while simultaneously popping characters off the stack. The queue will give you the string forwards and the stack will give you the string backwards. For both techniques I described above, keep in mind they are simpler if you perform some conditioning to the characters you receive before saving them. For example you don’t need to save spaces in your data structure(s) since they can be ignored and the comparisons are simpler if, when first receiving character, you convert them all to the same case (either all upper or all lower) before storing them. That way you won’t need to write logic that indicates things like “A” == “a” and “A” == “a”.

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