Which of the following Python methods is used to perform a paired t-test for the difference in two population means? Select one.   Which of the following Python methods is used to perform a paired t-test for the difference in two population means? Select one. Question 3 options: A paired_ttest from scipy module B ttest_ind from scipy module C proportions_ztest from statsmodels module D ttest_rel from scipy modu

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Write a python programming code for logistic regression and calculate these classification metrics: contusion matrix, accuracy, precision, recall, sensitivity, specificity, F1 score and matthew correlation coefficient.

It's a Statistical Machine learning question and not a programming question. Also, can you help with question 2 also.

1. Suppose that a set of samples x1, x2, ..., xn, all real numbers, are drawn i.i.d. from the same distribution. Also assume that this distribution is a Gaussian distribution, which can be represented as N(u, o²). Write a function that accepts a set of samples and returns the MLE estimator for u. NOTE: The code below will be evaluated by a Python 2.7 interpreter. def mle(samples): pass Run Reset Once your function is correct, your will receive a submission code that you should input into the answer field. Enter answer here 2. In the previous question, you were asked to write a function for an estimator of a parameter of a distribution. Is the result of this function, an estimator, a random variable? Yes No

This multiple choice questions from MATLAB course.

ForICE13A, you are asked to build SINGLE OR MULTIPLE LINES of MATLAB code that accomplishes EACH of the Questions below. You DO NOT need to build a complete MATLAB code for each question below. To check your work, enter the line or lines of code into MATLAB itself. If you don’t get what is asked for, try again! Questions: 1. Assign a random floating-point number between 0 (inclusive) and 1 (exclusive) to the variable A. 2. Assign a random floating-point number between 0 (inclusive) and 5 (exclusive) to the variable B. 3. Assign a random integer between 1 (inclusive) and 5 (inclusive) to the variable C. 4. Assign a random integer between 11 (inclusive) and 50 (inclusive) to the variable D. 5. Assign a different random floating-point number to EACH element in a 3x3 array between 0 (inclusive) and 1 (exclusive) to the variable E. 6. Assign a different random integer to EACH element in a 3x3 array between 0 (inclusive) and 10 (inclusive) to the variable F. [TRICKY QUESTION - HINT: Range is…

QUESTION 6 Which of the following forecasting techniques can account for multiple periods of historically observed values? O Weighted Moving Average O Moving Average Exponential Smoothing Weighted Moving Average, Moving Average and Exponential Smoothing O Weighted Moving Average and Moving Average only QUESTION 7 What type of information does the following method receive as a parameter? public static void methodRankPoints(int points) int text nothing O public lick Save and Suhmit to save and submit, Click Save All Answers to save all answers. O O

You build a model predicting blood pressure as a function of three variables: weight (numeric) age (numeric) income (categorical: low, medium, high) You first specify your model as: blood pressure ~ age * income + weight How many parameters (k) does your model have? (Remember, we do not count the grand mean in k)   You change the above model specification to be: blood pressure ~ age * income + weight * income How many parameters does your model have now?   You change your model to include the three-way interaction (which, remember, includes all two-way interactions and main effects, too!) Your model now looks like this: blood pressure ~ age * income * weight How many parameters does your model have now?

using pandas, python Uniform Distribution Use uniform.rvs and assign its output to the variable samples. In this function, specify the location (loc) parameter to be 100, set the scale to be 20, and the sample size to be 1000 and generate histogram.