The first parameter represents an inner list index and the second parameter represents converted stations data. get_column_sum The function should return the sum of the values at the given index from each inner list of the converted stations data. (int, List["Station"]) -> int You can assume that the given index is valid for the given data, and that the items in the list at the given index position are integers.

Create R code to verify all factorial scenarios.

What exactly is the point of using the break keyword?

Add remain code and complete.  number is a number whose sum total of the factorials of each digit is equal to thenumber itself. The following are some examples of Krishnamurthy numbers: "145" is a Krishnamurthy Number because,1! + 4! + 5! = 1 + 24 + 120 = 145 "40585" is also a Krishnamurthy Number.4! + 0! + 5! + 8! + 5! = 40585 "357" or "25965" is NOT a Krishnamurthy Number3! + 5! + 7! = 6 + 120 + 5040 != 357 The following function will check if a number is a Krishnamurthy Number or not and return aboolean value.""" def find_factorial(n):    """ Calculates the factorial of a given number n """    fact = 1    while n != 0:        fact *= n        n -= 1    return fact def krishnamurthy_number(n):    if n == 0:        return False    sum_of_digits = 0   # will hold sum of FACTORIAL of digits    temp = n.

Enter a formula in cell H5 that divides the sum of cells C5:F5 by cell B5. Write the formulausing an absolute cell reference so that when you copy the formula to cells H6 and H7, cell B5remains absolute.

1) Select the score given by the following code from sklearn import metrics ‘Precision Score': metrics.precision_score(y_test, y_pred) Group of answer choices a. Positive Predictive Value b. Recall c. Accuracy d. Negative predictive value   2) from sklearn import metrics 'Recall Score':    metrics.recall_score(y_test, y_pred) Group of answer choices a.True Positive Rate b. Accuracy c. Positive Predictive Value d. Negative predictive value   3) What the method below does?X_train, X_test, y_train, y_test = train_test_split(data.data, data.target, test_size=0.4) Group of answer choices a. produces the training data b. Splits the data into train and test subsets c. produces the target output d. produces the test data

P^(qvr) what is the truth value of the compound statement?

Could you please redo the coding with the correct indentations and answer for question 5a, 5b, 5c?

There are two methods for correcting errors, the a.the ruling method and the deletion method. b.ruling method and the manual method. c.ruling method and the correcting entry method. d.manual method and the correcting entry method.

Module/Week 2 ASSIGNMENT (INPUT/OUTPUT)The number of permutations of a set of n items taken r at a time is given by the following formulan !⁄r !(n-r)!: where n! is the factorial of n, r! is the factorial of r, and (n-r)! is the factorial of the result of n-r. The factorial of a number n can be solved using the following formula: 〖n!=e〗^(-n) n^n√2πn. If there are 18 people in your class and you want to divide the class into programming teams of 3 members, you can compute the number of different teams that can be arranged using this formula (n !⁄r !(n-r)!). Write a C++ program that determines the number of potential team arrangements. You will need to use the double type for this computation. Use the Lab Template you set-up last week, proper formatting, and appropriate comments in your code. The output must be labeled clearly and formatted neatly. Submit C++ Programming Assignment 2 by 11:59 p.m. (ET) on Monday of Module/Week 2.