EXPERIMENTS
AICLE: Chance and Probability
Índice
INTRODUTION
EXPERIMENT
CLASIFICATION
ACTIVITIES
INTRODUTION Probability theory, a branch of mathematics concerned with the analysis of random phenomena. The outcome of a random event cannot be determined before it occurs, but it may be any one of several possible outcomes. The actual outcome is considered to be determined by chance.
Deterministic vs. random experiments. An experiment is random if although it is repeated in the same manner every time, can result in different outcomes:
- The set of all possible outcomes is completely determined before carrying it out.
- Before we carry it out, we cannot predict its outcome.
- It can be repeated as many times as we want always under the same conditions (leading to different outcomes).
3. CLASIFICATION
DETERMINISTIC
- The Newton´s Laws of Motion
- The Economic Law of Demand
RANDOM
- Tossing a Coin
- Rolling of die
- Drawing a card from pack of card.
VS
ACTIVITIES
ACTIVIDAD 1
Things can happen
- Classify these experiments and suggest possible results.
- Write in your netbook.
ACTIVIDAD 2
Listen and complete in your nebook the following text with the words below: SET, RANDOM EXPERIMENT, OUTCOMES, EVENT, SAMPLE SPACE, SUBSET
EXPERIMENT (Chance and probability)
mdlmurillo
Created on November 11, 2020
Metodología AICLE
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Transcript
EXPERIMENTS
AICLE: Chance and Probability
Índice
INTRODUTION
EXPERIMENT
CLASIFICATION
ACTIVITIES
INTRODUTION Probability theory, a branch of mathematics concerned with the analysis of random phenomena. The outcome of a random event cannot be determined before it occurs, but it may be any one of several possible outcomes. The actual outcome is considered to be determined by chance.
Deterministic vs. random experiments. An experiment is random if although it is repeated in the same manner every time, can result in different outcomes:
3. CLASIFICATION
DETERMINISTIC
RANDOM
VS
ACTIVITIES
ACTIVIDAD 1
Things can happen
ACTIVIDAD 2
Listen and complete in your nebook the following text with the words below: SET, RANDOM EXPERIMENT, OUTCOMES, EVENT, SAMPLE SPACE, SUBSET