STATISTICS AND PROBABILITY

YOUR TASKS! Reminder: DO NOT WRITE ANYTHING ON THIS STUDENT LEARNING GUIDE. Write answers on a separate answer sheet. Enrichment Activity 1 (5 points) True or False. Write true if the statement is correct and False if not correct. 1. A continuous random variable cannot assign whole numbers to all the possible outcomes of an experiment 2. The sum of all the probabilities P(X ) for all possible values of a discrete random variable X must equal 1 3. A discrete random variable assigns a whole number to each possible outcome of an experiment. 4. A random variable assigns a random number to each possible outcome of an experiment. 5. P(X = x) means the probability that the random variable X is equal to the random variable x.ss WRITTEN TASK NO. 1 I. Classify the following as discrete or continuous. (10 points) 1. the number of senators present in the meeting 2. the weight of newborn babies for the month of June 3. the number of ballpens in the box 4. the amount of salt needed to bake a loaf of bread 5. the height of mango tree in the firm sting and 6. the number of registered nurses in a city SENT LEARN 7. the area of lots in a subdivision . and Variance of ARNING COM 8. the number of household with television 9. the number of students who joined in a Math Content 10. the weight of professional boxer Fill in the blanks with the correct term or words to make each statement true. (5 points) 1. A is a numerical quantity that is assigned to the outcome of an experiment. 2. A 3 random variable is one that can measure only a countable number of values. A random variable is generated from an experiment in which things are counted but not measured. is a listing of the possible values and the corresponding probabilities of a discrete random variable. The probability distribution of a discrete random variable is also called REFERENCE | Look back and Reflect Answer the following questions below. (5 points) 1. What are the steps in computing the variance and standard deviation of a probability distribution of a random variable? 2. What does the variance and standard deviation of a probability distribution tell us