Which of the following Python methods is used to perform chi-square goodness of fit tests? Select one.   f_oneway from scipy.stats submodule   tukeyhsd from scipy.stats submodule   chisquare from scipy.stats submodule   anova_lm from scipy.stats submodule

Please help me to make a little matlab or python code to calculate standard deviation of different data that can show the answer and graph the final result, thank you

Don't reject. Need Matlab code

Explain the differences between expert-based and metric-based test estimation in a few words.

2. Which of the following statements is true about bias? A. The more complex the model, the larger its bias. OB. The more complex the model, the smaller its bias. OC. As model complexity increases, the bias drops to a specific value and then rises. OD. As model complexity increases, the bias rises and then drops to a specific value.

Step 1. Intersection over Union def intersection_over_union(dt_bbox, gt_bbox):  ---> return iou Step 2. Evaluate Sample  def evaluate_sample(target_pred, target_true, iou_threshold=0.5):           ---->          return results Step 3. Evaluate Model def evaluate(model, test_loader, device):  --->   return auc(recall, precision) Step 4. Train function Now define the functions for training the model.   def train_one_epoch(model, train_dataloader, optimizer, device):    # YOUR CODE HERE    # TRAIN YOUR MODEL ON THE train_dataloader    pass def train(model, train_dataloader, val_dataloader, optimizer, device, n_epochs=10):    for epoch inrange(n_epochs):    model.eval()    test_auc = evaluate(model, val_dataloader, device=device)    print("AUC ON TEST: {:.4f}".format(test_auc))    model.train()    train_one_epoch(model, train_dataloader, optimizer, device=device)   #for refrence and data detail go to   --->…

Plot following curves in the SAME figure where x-axis is "Model Complexity" and y-axis is the value: (1) Bias; (2) Variance; (3) Training Accuracy; (4) Testing Accuracy; [Paste your plot here]

What do you mean by the word "benchmarks"?

Plot the curve of the functions given below in Matlab, take t = -10:0.01:10 1. Unit step function.

1. Compute the Laplace transform of the following equations via MATLAB. Tips: O First, you have to declare the symbolic variable names that you will be using via the MATLAB command syms. Use the MATLAB help to know more about this command and its syntax. o Write the function. o Perform the laplace transform on the function. Question 1: x(t) = sin(t) Question 2: x(t) = 5-et 4√3