Statistics and Probability

1. It is the weighted average of all valuesthat the random variable X would assume in the long run. The form of the graph of a discrete probability distribution. This can either be discrete or continuous. This variable can only take a finite (countable) number of distinct values. 2 3 4. g 5. It is a chance or possibility that an event may happen. 6 , 7 It is a variable whose possible values are determined by chance. It is the expected value of the square of the difference betweenthe assumed value of random variable and the mean. It is the first property before a distribution can be considered a discrete probability distribution. 8. A listing of all possible values of a discrete random variable along with their corresponding probabilities. 9. 10. This can assume an infinite number of values in an interval between two specic values. ____________,_,____._'. II. Problem Solving A. Directions: Draw and find the indicated area under the normal curve in each of the following cases. (3-Points each) 1. Between z = -1.10 and z = 2.43? 2. To the right of z = -1.31 3. To the left of z = -0.95 4. To the right of z = -0.895. To the left of z= 1.85 B.Directions: Calculate the mean, variance and the standard deviation. Show your solution. 1. X 2 W 4 P (x) 0.25 0.17 0.3 0.05