En kortfattad presentation för åk4-5 som beskriver sinnena smak, lukt och känsel. Används på klassblogg för att stötta eleverna i deras lärande.
This chapter discusses basic probability concepts including defining probability as a numerical measure between 0 and 1, explaining sample spaces and events, visualizing events using contingency tables and tree diagrams, and computing joint, marginal, and conditional probabilities. It introduces key terms like probability, event, sample space, mutually exclusive and collectively exhaustive events. It also covers rules for calculating probabilities of joint, union, and conditional events.
The document discusses elementary theorems and concepts related to probability and conditional probability. It defines the addition rule for mutually exclusive events, the formula for calculating probability of an event as the sum of probabilities of individual outcomes, and the general addition rule for probability. It also defines conditional probability as the probability of an event A given that another event B has occurred, and introduces Bayes' theorem which provides a formula for calculating the probability of an event given certain conditions.
Baye's Theorem is a method for calculating conditional probabilities that involves making a tree diagram. The document discusses applying findings to Baye's Theorem and inserting them into the calculation method.
Bayes' Theorem relates prior probabilities, conditional probabilities, and posterior probabilities. It provides a mathematical rule for updating estimates based on new evidence or observations. The theorem states that the posterior probability of an event is equal to the conditional probability of the event given the evidence multiplied by the prior probability, divided by the probability of the evidence. Bayes' Theorem can be used to calculate conditional probabilities, like the probability of a woman having breast cancer given a positive mammogram result, or the probability that a part came from a specific supplier given that it is non-defective. It is widely applicable in science, medicine, and other fields for revising hypotheses based on new data.
It gives detail description about probability, types of probability, difference between mutually exclusive events and independent events, difference between conditional and unconditional probability and Bayes' theorem
1. The document discusses basic concepts in probability and statistics, including sample spaces, events, probability distributions, and random variables.
2. Key concepts are explained such as independent and conditional probability, Bayes' theorem, and common probability distributions like the uniform and normal distributions.
3. Statistical analysis methods are introduced including how to estimate the mean and variance from samples from a distribution.
Swedish children are among the healthiest in the world due to several factors:
1) Sweden has a stable economy that allows for social reforms like free compulsory school, universal pre-school, parental leave, and subsidized daycare.
2) Sweden has a preventative healthcare system including mandatory maternity and child healthcare that focuses on prevention.
3) Social policies aim for low socioeconomic disparities and Sweden has banned corporal punishment of children since 1979.
En kortfattad presentation för åk4-5 som beskriver sinnena smak, lukt och känsel. Används på klassblogg för att stötta eleverna i deras lärande.
This chapter discusses basic probability concepts including defining probability as a numerical measure between 0 and 1, explaining sample spaces and events, visualizing events using contingency tables and tree diagrams, and computing joint, marginal, and conditional probabilities. It introduces key terms like probability, event, sample space, mutually exclusive and collectively exhaustive events. It also covers rules for calculating probabilities of joint, union, and conditional events.
The document discusses elementary theorems and concepts related to probability and conditional probability. It defines the addition rule for mutually exclusive events, the formula for calculating probability of an event as the sum of probabilities of individual outcomes, and the general addition rule for probability. It also defines conditional probability as the probability of an event A given that another event B has occurred, and introduces Bayes' theorem which provides a formula for calculating the probability of an event given certain conditions.
Baye's Theorem is a method for calculating conditional probabilities that involves making a tree diagram. The document discusses applying findings to Baye's Theorem and inserting them into the calculation method.
Bayes' Theorem relates prior probabilities, conditional probabilities, and posterior probabilities. It provides a mathematical rule for updating estimates based on new evidence or observations. The theorem states that the posterior probability of an event is equal to the conditional probability of the event given the evidence multiplied by the prior probability, divided by the probability of the evidence. Bayes' Theorem can be used to calculate conditional probabilities, like the probability of a woman having breast cancer given a positive mammogram result, or the probability that a part came from a specific supplier given that it is non-defective. It is widely applicable in science, medicine, and other fields for revising hypotheses based on new data.
It gives detail description about probability, types of probability, difference between mutually exclusive events and independent events, difference between conditional and unconditional probability and Bayes' theorem
1. The document discusses basic concepts in probability and statistics, including sample spaces, events, probability distributions, and random variables.
2. Key concepts are explained such as independent and conditional probability, Bayes' theorem, and common probability distributions like the uniform and normal distributions.
3. Statistical analysis methods are introduced including how to estimate the mean and variance from samples from a distribution.
Swedish children are among the healthiest in the world due to several factors:
1) Sweden has a stable economy that allows for social reforms like free compulsory school, universal pre-school, parental leave, and subsidized daycare.
2) Sweden has a preventative healthcare system including mandatory maternity and child healthcare that focuses on prevention.
3) Social policies aim for low socioeconomic disparities and Sweden has banned corporal punishment of children since 1979.
This document summarizes the results of a survey of 14 respondents from BSG-Oslo on their practices related to histopathology in patients with suspected or known celiac disease. Key findings include:
1) The most common biopsy sites for patients with suspected celiac disease were the duodenum, followed by the gastric antrum and body.
2) Most respondents reported having regular review meetings with pathologists to discuss biopsy results and classifications.
3) Respondents used a variety of serology tests for celiac disease including anti-tTG, EMA, and anti-DGP antibodies.
4) There was no consensus on the best single marker for monitoring patient