COR006: STATISTICS AND PROBABILITIES Performance Task Group Members : Pedines Mark Lorenz –Leader Anulacion , Miaca Angelica Chiang, Leila Ashly Conteno , Kenneth Rebadulla , Jessel.
I. DISCRETE: CONTINUOUS:. Formulate 2 examples of each kind of random variable: DISCRETE and CONTINUOUS..
Construct a probability distribution table if we let X the random variable be the number of boys in the family with 3 children. Use the table below..
III.. An investor has six stocks that she follows each day. The random variable being studied is X, the number of stocks that increases in value each day. The probability function for this variable is shown below..
IV.. INTEREST. APPLICATION. Solve the mean and variance of the following discrete random variable..
V.. Use the following formula to find the missing component:.
V.. Use the following formula to find the missing component:.
VI. Find the area under the standard normal curve which lies to the following conditions..
VI. Find the area under the standard normal curve which lies to the following conditions..
VI. Find the area under the standard normal curve which lies to the following conditions..
VI. Find the area under the standard normal curve which lies to the following conditions..
VI. Find the area under the standard normal curve which lies to the following conditions..
VI. PART 2. The salaries of employees of a certain company in Baguio City have a mean of P6,500 and a standard deviation of P1,500. What is the probability that an employee selected at random will have a salary of;.
VI. PART 2. The salaries of employees of a certain company in Baguio City have a mean of P6,500 and a standard deviation of P1,500. What is the probability that an employee selected at random will have a salary of;.
VI. PART 2. The salaries of employees of a certain company in Baguio City have a mean of P6,500 and a standard deviation of P1,500. What is the probability that an employee selected at random will have a salary of;.
COCO. "Statistics means never having that you are certain. ".
COCO. Thank You for Watching!.