Consider the distribution Ber(0.25). Consider the categorical statistical model({a1,..., ax},{Pp}) for this Bernoulli distribution. If we let Q1 = 1 and a2 =0, then this corresponds to a categorical distribution P, with parameter vector p given by:. a. 0.25
b. 0.75
c. (0.25 0.75]^T
d. [0.75 0.25)^T

c. [0.25 0.75] ^T

Step-by-step explanation:

Bernoulli distribution is used to identify number of successes and failures in the selected sample. In the given problem Ber distribution trial is 0.25. There will be categorical distribution of 0.75 and the trial will be done on parameter vector.

i know the answer is 3

step-by-step explanation: