The following statement applies to which kind of sampling? Split the data into several partitions, then draw random samples from each partition
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The following statement applies to which kind of sampling?
Split the data into several partitions, then draw random samples from each partition
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- File names: color_square.py, chessboard.py, test_squares.py Positions on a chess board are identified by a letter and a number. The letter identifies the column; the number identifies the row. See the image below. You will provide the functions that allow us to determine: if a chessboard square is either black or white, given its coordinates. If the row/column is valid or not for the standard chessboard For example, if we pass in “d” for the column and 4 for the row, your function that determines color should return the string: “BLACK”. If we pass in "k" for the column to your function that validates columns, that function should return the boolean False. Requirements: Your function for validating the column should be able to accept upper or lowercase strings as parameters. Your functions for validating the row should be able to accept integers or strings as parameters. Your function that determines black-or-white may assume that the input has been validated prior to us calling…We’ve been updating and extending the inventory project to use files and to use arrays. Now it’s time to put it all together. I will give you a file inventory.txt File Contents: Red delicious apples 1.00 25 6 8 10 Assorted bouquets 4.00 50 10 10 0 Camembert cheese 2.00 25 10 12 4 END The file will have the following specifications: Each record consists of two lines. The first line contains the name of the product, which may be more than one word long. The second line contains the wholesale price as a decimal, the markup as a percentage, and three quantities, for counter, shelf, and warehouse. If the first line of a record contains the word END all by itself, that is the end of the file. Your task is to read each record into the program, as a string for the name, and numbers for the price and markup, and as an array of numbers for the quantities. Then calculate the total profit for each item: (wholesale price) * (markup, converted into a decimal) * (total quantity). Print out a report…write the code to lookup, add and remove phoneentries from the phonebook text file . These are the code we use for the lookup, add and remove in the case statement.(Lookup)# Look someone up in the phone bookgrep $1 phonebook (add)echo "$1 $2" >> phonebooksort -o phonebook phonebook (Remove)grep -v "$1" phonebook > /tmp/phonebookmv /tmp/phonebook phonebook Write a complete Bash script which will accept up to three command-line arguments: the first one is either (lookup, add or remove), the second one is a name enclosed in single quotes and the third one (if doing an add) is a phone number enclosed in single quotes. Using a case statement to match on either lookup, add or remove, the script should then perform the requested operation. Again here, you should first check for null arguments before continuing with the rest of the script or requested operation. In addition, the person may not be in the phonebook for lookup or remove so, you need to account for this.
- Using the temperature array declared on number 2, write a ‘for loop’ that will run a total of n times, and in each iteration will ask the user for an input value and will store it in as each element of your temperature array. It should also feature a statement that adds the new element to a running sum which is stored in a separate variable called T_sum.In srings, the name of the array is passed to scanf without the preceding &, like used with nonstring variables. Select one: True FalseJAVA PPROGRAM Write a program that prompts the user to enter a file name, then opens the file in text mode and reads names. The file contains one name on each line. The program then compares each name with the name that is at the end of the file in a symmetrical position. For example if the file contains 10 names, the name #1 is compared with name #10, name #2 is compared with name #9, and so on. If you find matches you should print the name and the line numbers where the match was found. While entering the file name, the program should allow the user to type quit to exit the program. If the file with a given name does not exist, then display a message and allow the user to re-enter the file name. The file may contain up to 100 names. You can use an array or ArrayList object of your choosing, however you can only have one array or ArrayList. Input validation: a) If the file does not exist, then you should display a message "File 'somefile.txt' is not found." and allow the…
- Please fix errors thank you.Load “Lock5Data” into your R console. Load “OlympicMarathon” data set in“Lock5Data”. This data set contains population of all times to finish the 2008Olympic Men’s Marathon.a. What is the population size?b. Now using “Minutes” column generate a random sample of size 5.c. Calculate the sample mean and record it (create a excel sheet or write adirect R program to record this)d. Continue steps (b) and (c) 10,000 time (that mean you have recorded 10,000sample means)What you have in step (d) is closely resemble to distribution of sample meanswith sample size 5. e. Calculate the mean of 10,000 sample means.f. Calculate the population mean (that mean using all data in “Minutes” column)g. According to the central limit theorem, if conditions satisfied, then the mean ofdistribution of sample mean should be close to the population mean. Nowcompare your results for part (e) and (f). Are they same or at least close toeach other?h. Calculate the standard deviation for 10,000 data points you have…Load “Lock5Data” into your R console. Load “OlympicMarathon” data set in“Lock5Data”. This data set contains population of all times to finish the 2008Olympic Men’s Marathon.a. What is the population size?b. Now using “Minutes” column generate a random sample of size 5.c. Calculate the sample mean and record it (create a excel sheet or write adirect R program to record this)d. Continue steps (b) and (c) 10,000 time (that mean you have recorded 10,000sample means)
- # Create Custom Transformer Create a custom transformer, just as we did in the lecture video entitled "Custom Transformers", that performs two computations: 1. Adds an attribute to the end of the numerical data (i.e. new last column) that is equal to $\frac{x_1^3}{x_5}$ for each observation. In other words, for each instance, you will cube the $x_1$ column and then divide by the $x_5$ column. 2. Drops the entire $x_4$ feature column if the passed function argument `drop_x4` is `True` and doesn't drop the column if `drop_x4` is `False`. (See further instructions below.) You must name your custom transformer class `Assignment4Transformer`. Your class should include an input parameter called `drop_x4` with a default value of `True` that deletes the $x_4$ feature column when its value is `True`, but preserves the $x_4$ feature column when you pass a value of `False`. This transformer will be used in a pipeline. In that pipeline, an imputer will be run *before* this transformer. Keep…Which of the following loops can be used to process the contents of an array? while each until All of the aboveWhat is the new feature added into the CBL0006 program that was not in CBL0005? Select one: a. It adds an Average of all account balances b. It adds a count of the number of people from the state of Virginia c. It adds an additional field to the data for Age When Elected d. There is now the ability to sort the people by name and state