If Z is a random variable from a standard normal distribution and if P(Z>c)=0.36 than P(Z<-c)=0.64.
True or false
If Z is a random variable from a standard normal distribution and if P(Z>c)=0.36 than P(Z<-c)=0.64....
Assume Z is a random variable with a standard normal distribution and c is a positive number. If P(Z > c) = 0.25, then PC – c< < c) = 0.5. O True OFalse Exactly 50% of the area under the normal curve lies to the left of the mean. O True OFalse If X represents a random variable coming from a normal distribution and P(X < 5.2) = 0.5, then P(X > 5.2) = 0.5. O True O False
2. Random variable Z has the standard normal distribution. Find the following probabilities a): P[Z > 2] b) : P[0.67 <z c): P[Z > -1.32] d): P(Z > 1.96] e): P[-1 <Z <2] : P[-2.4 < Z < -1.2] g): P[Z-0.5) 3. Random variable 2 has the standard normal distribution. Find the values from the following probabilities. a): P[Z > 2) - 0.431 b): P[:<] -0.121 c): P[Z > 2] = 0.978 d): P[2] > 2] -0.001 e): P[- <Z...
Let z be a random variable with a standard normal distribution. Find P(0 ≤ z ≤ 0.40), and shade the corresponding area under the standard normal curve. (Use 4 decimal places.)
Let the random variable Z follow a standard normal distribution. What is P(Z > -0.21)? A) 0.4207 B) 0.4168 C) 0.5793 D) 0.5832
Let Z be a standard normal random variable. Calculate the following; P(Z is less than or equal to c)= 0.7939
Let the random variable Z follow a standard normal distribution. Find P(-2.35 < Z< -0.65). Your Answer:
The probability that a standard normal random variable Z is less than -3.5 is approximately 0. True False
Let z be a random variable having a standard normal distribution. Determine P left parenthesis minus 1.56 less than x less or equal than 1.56 right parenthesis.
Let z be a random variable with a standard normal distribution. Calculate the indicated probability P(−1.15≤ z ≤1.55)P(−1.15≤ z ≤1.55).
If the random variable z is the standard normal score and a >0 is it true that p ( z >a ) = p ( z < a ) ? Why pi r Why or What not? yes because normal distribution means is 0 and variance is 1. What is the property does the distribution have?