Probability
Bayani Gaba-gaba
An ordinary six sided dice is rolled 300 times and lands on five 120 times. Do you think the dice is fair? That is a real two mark question from a specimen Core paper, and answering it needs three separate ideas: what probability a fair dice gives, how many fives that predicts in 300 rolls, and how far an actual result can drift from a prediction before you should be suspicious. Fifty is expected, 120 was observed, and the gap is far too large to be luck.
You will use the vocabulary of probability and the probability scale, find probabilities from theoretical models and from relative frequency, work with expected frequency, compare experimental data with theoretical probabilities, understand why repeating an experiment gives different outcomes and why a larger sample gives better estimates, build sample spaces for one event and for two successive events, handle mutually exclusive and exhaustive outcomes, use Venn diagrams to work out probabilities, and calculate the probability of independent combined events including with tree diagrams. On the Extension Tier you add the addition rule for mutually exclusive events, the multiplication rule for independent events, and conditional probability.
Manufura
- [Core] understand and use the vocabulary of probability and the probability scale
- [Core] understand and use estimates or measures of probability from theoretical models (including equally likely outcomes), or from relative frequency
- [Core] understand and use expected frequency
- [Core] compare experimental data and theoretical probabilities
- [Core] understand that if an experiment is repeated, this may - and usually will - result in different outcomes
- [Core] understand that increasing sample size generally leads to better estimates of probability and population characteristics
- [Core] understand and use sample spaces for situations where outcomes are single events and for situations where outcomes are two successive events
- [Core] identify different mutually exclusive and exhaustive outcomes and know that the sum of the probabilities of all these outcomes is 1
- [Extension] know and use that for mutually exclusive events A and B P(A ∪ B) = P(A) + P(B)
- [Core] understand and use Venn diagrams to work out probabilities
- [Core] calculate the probability of independent combined events, including using tree diagrams and other representations
- [Extension] know and use that for independent events A and B P(A ∩ B) = P(A) × P(B)
- [Extension] calculate conditional probabilities including using tree diagrams and other representations
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An zana wannan batu don ka ga yadda ra'ayoyi ke hadewa.
Bude taswirar tunani a cikin manhaja
Katunan tunawa
Gwaji mai sauri kan abin da ake jarraba a wannan batu.
Yi atisayen wadannan katuna a cikin manhaja
Takardar Darasi
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Nazarin Darasi
Barka da kammala darasi akan Probability. Yanzu da kuka bincika mahimman ra'ayoyi da ra'ayoyi, lokaci yayi da zaku gwada ilimin ku. Wannan sashe yana ba da ayyuka iri-iri Tambayoyin da aka tsara don ƙarfafa fahimtar ku da kuma taimaka muku auna fahimtar ku game da kayan.
Za ka gamu da haɗe-haɗen nau'ikan tambayoyi, ciki har da tambayoyin zaɓi da yawa, tambayoyin gajeren amsa, da tambayoyin rubutu. Kowace tambaya an ƙirƙira ta da kyau don auna fannoni daban-daban na iliminka da ƙwarewar tunani mai zurfi.
Yi wannan ɓangaren na kimantawa a matsayin wata dama don ƙarfafa fahimtarka kan batun kuma don gano duk wani yanki da kake buƙatar ƙarin karatu. Kada ka yanke ƙauna da duk wani ƙalubale da ka fuskanta; maimakon haka, ka kallesu a matsayin damar haɓaka da ingantawa.
- A spinner has four equal sectors numbered 7, 1, 5 and 3. Which word describes the chance of landing on an odd number? A. impossible B. unlikely C. likely D. certain Answer: D
- An ordinary six sided dice is rolled 300 times. How many fives would you expect if the dice is fair? A. 5 B. 30 C. 50 D. 120 Answer: C
- A bag has 9 counters, 4 of them blue. Two are taken without replacement. What is the probability that neither is blue? A. 25/81 B. 20/72 C. 20/81 D. 5/9 Answer: B
- For which pair of events is P(A and B) = P(A) x P(B) always correct? A. Mutually exclusive events B. Exhaustive events C. Independent events D. All pairs of events Answer: C
- In a class of 30, 18 study French, 14 study Spanish and 6 study both. What is the probability that a student chosen at random studies neither? A. 2/15 B. 1/5 C. 4/15 D. 8/15 Answer: A
Yi aikin wadannan tambayoyi a cikin manhaja
Yi aikin wadannan tambayoyi a cikin manhaja
Littattafan da ake ba da shawarar karantawa
Ƙarin koyo daga tushe na buɗe
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Sashen littafi
Terminology
Probability is a measure that is associated with how certain we are of outcomes of a particular experiment or activity. An experiment is a planned operation carried out under controlled conditions. If the result is not predetermined, then the experiment is said to be a chance experiment. Flipping on
"Introductory Statistics: Terminology" by OpenStax, OpenStax, Rice University, licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Source: https://openstax.org/books/introductory-statistics/pages/3-1-terminology. Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction
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Sashen littafi
Tree and Venn Diagrams
Sometimes, when the probability problems are complex, it can be helpful to graph the situation. Tree diagrams and Venn diagrams are two tools that can be used to visualize and solve conditional probabilities. A tree diagram is a special type of graph used to determine the outcomes of an experiment.
"Introductory Statistics: Tree and Venn Diagrams" by OpenStax, OpenStax, Rice University, licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Source: https://openstax.org/books/introductory-statistics/pages/3-5-tree-and-venn-diagrams. Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction
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Yi Aikin Tambayoyin Gwaji
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