Pls help

What is the basic idea of the Maximum Likelihood estimation procedure? Select one: 0 a. We assume a distribution and use the curve to determine the most likely value of the parameters to have produced the data we saw. 0 b. We use a sample moment to estimate the parameter since the sample moment will always equal the parameter we want. 0 c. We take sample moments [such as Ybarl and set them equal to population moments {such as EM} and solve the equations for the parameters. 0 d. Our data is variable so we simpliyr use sample moments (such as Ybarl to plug into our PDF or PME We then solve for the parameters