If P(A)-0.3, P(B) = 0.2 and P (A n B) = 0.1, determine the following probabilities:...
If P(A)= 0.3 , P (B)= 0.2, and P(A and B)= 0.1 , determine the following probabilities: (a) P( A' ) (b) P (A U B) (c) P(A' INTERSECT B) (d) P [ (A U B)' ] (e) P (A' U B)'
4. IfP(A) 0.3, P(B) 0.2, and P(An B) 0., determine the following probabilities: (b) P(AU B) (c) P(A'n B) (d) P(An B') (e) P[(A U B)] (f) P(A'U B) 5. The following table summarizes the analysis of samples of galvanized steel for coating weight and surface roughness: Coating Weight High High Low Low 16 34 Surface 12 Roughness If the coating weight of a sample is high, what is the probability that the surface roughness is high? If the surface...
Consider the following data: P(X=x) | 0.3 | 0.2 | 0.1 | 0.2 | 0.2 Step 1 of 5: Find the expected value E). Round your answer to one decimal place
Consider the following data: x 5 6 7 8 9 P(X=x)P(X=x) 0.3 0.1 0.1 0.3 0.2 Copy Data Step 2 of 5 : Find the variance. Round your answer to one decimal place.
Consider the following data: x 5 6 7 8 9 P(X=x)P(X=x) 0.3 0.1 0.1 0.3 0.2 Copy Data Step 4 of 5 : Find the value of P(X≤9). Round your answer to one decimal place.
Suppose that P(A)0.5, P(B)0.2, P(C) 0.3, P(AnB) 0.1 and P(AnC) 0.1. Compute the following: (a) (2 points) P(AUB) b) (6 points) P(A UC) (c) (4 points) Are the events A and B independent? What about A and C? (d) (8 points) If the sets B and C are mutually exclusive sets, what is P(A U B U C)?
Consider the following data: x 5 6 7 8 9 P(X=x)P(X=x) 0.3 0.1 0.1 0.3 0.2 Copy Data Step 1 of 5 : Find the expected value E(X). Round your answer to one decimal place.
intelligent control systems
fuzzy logic based contril
0.8 0.7 04 0.3 0.2 0.3 b) Plot the ou a) Plot the output: -BUB 1.0 0.9 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.5 0.4A 0.3 0.2 0.2 0.17 0.1 c) Determine the defuzzified output y, by using I. Center of Gravity Method (COG) Height Method (H) II. + 1 (0.5)+3 05)+ 5(0.1) 6()
0.8 0.7 04 0.3 0.2 0.3 b) Plot the ou a) Plot the output: -BUB 1.0 0.9 0.9...
A discrete random variable X has probability mass function P() 0.1 0.2 0.2 0.2 0.3 Use the inverse transform method to generate a random sample of size from the distribution of X. Construct a relative frequency table and compare the empirical with the theoretical probabilities. Repeat using the R sample function. 1000
Consider the following data: x 3 4 5 6 7 P(X=x) 0.1 0.3 0.3 0.1 0.2 Step 3 of 5: Find the standard deviation. Round your answer to one decimal place. Step 4 of 5: Find the value of P(X>4). Round your answer to one decimal place. Step 5 of 5: Find the value of P(X≤6). Round your answer to one decimal place.