Assuming we want to build a pseudo-bayes classifier for this problem using one dimensional gaussians (with naive-bayes assumption) to approximate the required probabilties. calculate the probabilites required.

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step-by-step explanation:

u take $30 minus $24. the answer/original($30)

(0.2)+(-8)=0.3+-3+0.3m is the equation i guess? ?

step-by-step explanation:

answer:   x*94 +688*6   = 267*100

94x+4128=26700    

94x=22572     /94

x=240.128

step-by-step explanation: mark as brainlest reallly need it thx

n word

step-by-step explanation:

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