Consider a learning task where the training data refers to MRI scans of tumors and is defined using four discrete attributes: Color (takes 3 values: pink, red, dark red) Size (takes 4 values: tiny, moderate, large, huge) Surface (takes 2 values: smooth, irregular) Location (takes 3 values: periphery, center, tissue) How many parameters do we need to estimate if we model the tumor directly as a multivariate random variable (no Naive Bayes assumption)

The contents of 3838 cans of coke have a mean of x¯¯¯=12.15x¯=12.15. assume the contents of cans of coke have a normal distribution with standard deviation of σ=0.12.σ=0.12. find the value of the test statistic zz for the claim that the population mean is μ=12.μ=12.

Evaluate the discriminant of each equation. tell how many solutions each equation has and whether the solutions are real or imaginary. x^2 - 4x - 5 = 0

Luke started a weight-loss program. the first week, he lost x pounds. the second week, he lost pounds less than times the pounds he lost the first week. the third week, he lost 1 pound more than of the pounds he lost the first week. liam started a weight-loss program when luke did. the first week, he lost 1 pound less than times the pounds luke lost the first week. the second week, he lost 4 pounds less than times the pounds luke lost the first week. the third week, he lost pound more than times the pounds luke lost the first week.