際際滷

際際滷Share a Scribd company logo

STATISTICS AND PROBABILITY DISTRIBUTION.pptx

Download as PPTX, PDF
A
AliceRivera13

This document discusses probability distributions and random variables. It contains 4 lessons on random variables and probability distributions: exploring random variables, constructing probability distributions, computing the mean of a discrete probability distribution, and computing the variance of a discrete probability distribution. The first lesson defines a random variable as a variable whose value depends on the outcomes of a random process and can be either discrete or continuous. It also defines key terms like experiment, sample space, and random.

1 of 5
Download to read offline
STATISTICS AND PROBABILITY
CHAPTER 1: RANDOM VARIABLES AND PROBABILITY DISTRIBUTION LESSON 1: EXPLORING RANDOM VARIABLES LESSON 2: CONSTRUCTING PROBABILITY DISTRIBUTION LESSON 3: COMPUTING THE MEAN OF A DISCRETE PROBABILITY LESSON 4: COMPUTING THE VARIANCE OF A DISCRETE PROBABILITY DISTRIBUTION
LESSON 1: EXPLORING RANDOM VARIABLES AFTER GOING THROUGH THIS LESSON, YOU ARE EXPECTED TO 1. DEFINE RANDOM VARIABLE; AND 2. ILLUSTRATE RANDOM VARIABLES (DISCRETE AND CONTINUOUS).
UNLOCKING TERMS EXPERIMENT- ANY MOVEMENT THAT SHOULD BE POSSIBLE MORE THAN ONCE UNDER COMPARATIVE CONDITION. EX: TOSSING A COIN SAMPLE SPACE- THE ARRANGEMENT OF EVERY POSSIBLE OUTCOMES OF AN EXPERIMENT. EX:(HEAD, TAIL) RANDOM- CHOSEN, DONE WITHOUT A PARTICULAR PLAN OR PATTERN. EX: DRAWING RAFFLE TICKETS OR NAMES FROM A BOWL VARIABLE- A QUANTITY THAT CAN HAVE ANY ONE OF A SET OF VALUES OR A SYMBOL THAT REPRESENTS SUCH A QUANTITY.
RANDOMVARIABLE VALUE DEPENDS ON THE OUTCOMES OF A RANDOM PROCESS. A VARIABLE WHOSE VALUE IS A NUMERICAL OUTCOME OF A RANDOM PHENOMENON. DENOTED WITH A CAPITAL LETTER. DISCRETE OR CONTINUOUS. EX: NUMBER OF HEADS, NUMBER OF TAILS, NUMBER OF BOYS IN THE FAMILY.

More Related Content

STATISTICS AND PROBABILITY DISTRIBUTION.pptx

  • 2. CHAPTER 1: RANDOM VARIABLES AND PROBABILITY DISTRIBUTION LESSON 1: EXPLORING RANDOM VARIABLES LESSON 2: CONSTRUCTING PROBABILITY DISTRIBUTION LESSON 3: COMPUTING THE MEAN OF A DISCRETE PROBABILITY LESSON 4: COMPUTING THE VARIANCE OF A DISCRETE PROBABILITY DISTRIBUTION
  • 3. LESSON 1: EXPLORING RANDOM VARIABLES AFTER GOING THROUGH THIS LESSON, YOU ARE EXPECTED TO 1. DEFINE RANDOM VARIABLE; AND 2. ILLUSTRATE RANDOM VARIABLES (DISCRETE AND CONTINUOUS).
  • 4. UNLOCKING TERMS EXPERIMENT- ANY MOVEMENT THAT SHOULD BE POSSIBLE MORE THAN ONCE UNDER COMPARATIVE CONDITION. EX: TOSSING A COIN SAMPLE SPACE- THE ARRANGEMENT OF EVERY POSSIBLE OUTCOMES OF AN EXPERIMENT. EX:(HEAD, TAIL) RANDOM- CHOSEN, DONE WITHOUT A PARTICULAR PLAN OR PATTERN. EX: DRAWING RAFFLE TICKETS OR NAMES FROM A BOWL VARIABLE- A QUANTITY THAT CAN HAVE ANY ONE OF A SET OF VALUES OR A SYMBOL THAT REPRESENTS SUCH A QUANTITY.
  • 5. RANDOMVARIABLE VALUE DEPENDS ON THE OUTCOMES OF A RANDOM PROCESS. A VARIABLE WHOSE VALUE IS A NUMERICAL OUTCOME OF A RANDOM PHENOMENON. DENOTED WITH A CAPITAL LETTER. DISCRETE OR CONTINUOUS. EX: NUMBER OF HEADS, NUMBER OF TAILS, NUMBER OF BOYS IN THE FAMILY.