Answer:
The statistic shows the gross domestic product (GDP) per capita in Brazil from 1985 to 2019, with projections up until 2025. GDP is the total value of all goods and services produced in a country in a year. It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth. In 2019, the estimated GDP per capita in Brazil amounted to around 8,751.38 U.S. dollars. For further information see GDP of Brazil.
Explanation: hope it helps you please make me the brainliest
The nurse should respond by informing the parents that it is very early to start feeding the baby cereal to the infant.
Most infants are ready for cereals only when they are six months old. Till that time the nurse should advise the parents to continue only giving breast milk or formula feeding. There are cases when the infant develops faster than others. In this case, the symptoms to be seen whether the infant is ready are as follows:
Can the infant hold his head upright and steadily?
Can the infant sit down without any support?
Is the infant mouthing his toys?
Is the infant looking and leaning forward to take food in her mouth?
If these symptoms or any of these symptoms are present this shows that the child is ready for solid foods. So start with a single-grain cereal like rice. Mix 1 tablespoon of this with 4 tablespoons of breast milk or formula. This should not be fed by the bottle but with a spoon. After starting a new food for four to five days nothing new should be given to see whether the infant is adapting to the cereal.
Learn more about baby cereals here:
brainly.com/question/13193732
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Answer:A-reliance petrochemicals
Explanation:This company is one of india's largest private sector companies.
Answer:
Accept error
Explanation:
Accept error is used in statistical. It is the error that occurred during the recruitment of an employee in an organization for that post the candidate is not well qualified but some reason the recruiter thinks that they would feel that for the benefits of the organization. Reject error is the opposite of accept error.
There are two types of error in statistics
Type I error: It is the wrong rejection of the null hypothesis. It is also called a false positive error
.
Type II error: It is the failure to reject the null hypothesis that is false at a point. It is also called a false negative error.
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