What is the base rate fallacy?

Select one:

a. The fallacy of miscalculating the base-rate of a kind of event, when assessing the probability of a particular instance of that event conditional on some other event.

b. The fallacy of neglecting the base-rate of a kind of event when assessing the probability of a particular instance of that event.

c. The fallacy of neglecting the base-rate of a kind of event when assessing the probability of a particular instance of some other kind of event conditional on the first kind of event.

d. The fallacy of neglecting the conditional probability of a kind of event conditional on some other event when calculating the base rate of the first kind of event.

e. The fallacy of neglecting the base-rate of a kind of event when assessing the probability of a particular instance of that event conditional on some other event.

[4/7, 08:49] Kiprutoh: Suppose the probability of snow is 20%, and the probability of a traffic accident is 10%. Suppose further that the conditional probability of an accident, given that it snows, is 40%. What is the conditional probability that it snows, given that there is an accident? I am not sure how to solve this, could you please provide me with guidance and steps.

Question 38 (1 point) Along a microtubule kinesin travels towards the positive end. Okinesin travel towards the negative end. O dynein travels towards the positive end. Odynein travels towards the negative end. O a and d are both correct. Question 39 (1 point) Kinesin is O one heavy chain and one light chain. two heavy chains and two light chains. O one heavy chain, one intermediate chain, and one light chain. O two heavy chains, two intermediate chains, and two light chains.Solve all the questions yourself. Do not copy. 1. Give and draw the pdf and cdf of a uniform random variable X. Find the mean and the variance of X. 2. Give the pdf and cdf of an exponential random variable X. 3. Give the pdf, cdf, and Q function of a standart Gaussian random variable X. (unit variance, mean zero) 4. Give the Markove and Chebyshev inequalities. 5. Give the moment generating function and characteristic function of a random variable X. How can the moments be found from the moment generating function and characteristic function?5. [20 points] Given the upper triangular matrix : U = 6 2] (a) Use diagonalization to write the given matrix as : U = PDP-1, where D is a diagonal matrix. (b) Use your result in part (a) to express U* as a 2 x 2 matrix