. Which of the following usesthe formula of () = ∑ ∙ () ? A. Probability Distribution B. Variance of Discrete Probability Distribution C. Standard Deviation of Discrete Probability Distribution D. Mean or Expected Value of Discrete Probability Distribution 2. Among the notations below, which is equivalent to ()? A. 2 B. C. D. () 3. Which of the following statements best describe the expected value of a discrete random variable? A. It is the simple average of all possible outcomes. B. It is the geometric average of all possible outcomes. C. It is the weighted average over all possible outcomes. D. It is the complex average of all possible outcomes in the distribution. 4. To which of the following concepts refer this statement “the sum of the product of each value of a discrete random variable and its corresponding probability”? A. Probability Distribution B. Variance of Discrete Probability Distribution C. Standard Deviation of Discrete Probability Distribution D. Mean or Expected Value of Discrete Probability Distribution 5. Which of the following is NOT included in the process of calculating the mean of the discrete random variable X? A. Identify the correct probabilities for each x value. B. Multiply each x value by its probability. C. Get the summation of the product. D. Get the square root of the product. 7. Which of the following is TRUE about the value of the mean of a discrete random variable? A. Mean Value is always equal to 1 B. Mean Value cannot be negative. C. Men value is equal to the expected value D. Mean, Variance, and Standard Deviation are equal. 8. To determine the expected value of the discrete random variable which processes should be done? A. Get the squared sum of the difference of each value of a discrete random variable its probability. B. Get the summation of the difference of each value of a discrete random variable and its probability. C. Get the summation of the product of each value of a discrete random variable and its probability. D. Get the square root of the summation of the product each value of a discrete random variable and its probability. 9. What can we generate if we take the squares of standard deviation? A. Expected Value B. Mean Value C. Probability value D. Variance 10. In tossing a coin, what are the possible values of the random variable X? A. 0 B. 0,1 C. 1, 2 D. 0, 1, 2 11. If the variance of a probability distribution is 2.6 grams, what is the standard deviation? A. 1.61 B. 1.16 C. 1.06 D. 1.01 12. What formula is appropriate to use in calculating the expected value? A. () = ∑ ∙ () B. () = ∑ − () C. () = ∑ ∙ ()2 D. () = ∑ /()
