Answer:
50 %
Explanation:
It is given that a woman gives birth to a baby boy. Her second child is also a baby boy. Now she is about to give birth to her third child. We have to determine the probability of the child to be a girl.
Here, the probability of the child to be a girl would be 50 % or 1 out of 2.
There are two possibilities and the possibilities would result a boy child or a girl child. So there are two possible outcomes and is equally likely with each child birth.
Also each child birth is an independent event, so the probability that the one results will occur do not depend on the previous births.
That waste product would be carbon dioxide.
Answer:
EXPLINATION BELOW……
B
because B includes the midpoint and the top of the line
Answer:
It is necessary to make the following assumptions when making inferences about a group of people based on a sample of subjects drawn from that group:
- Data is quantitative in nature.
- A sample size of 30 or more is required.
- The data set must consist of a simple random sample.
- A Normal Distribution must be present in the data.
The data must come from a sample that isn't all the same size so that it can be generalized well.
The sample size must be at least 30 or more, according to the central limit theorem.
Mean and standard deviation are two examples of quantitative data from which statistical conclusions can be drawn.
To avoid bias, the sample size should be increased rather than the distribution skewed.
Explanation:
<em>I hope this helps you</em>
<em>:)</em>
Answer:
CFTR protein facilitates the transport of chloride ions and water across the cells. Genetic defect in the CFTR gene results in defective protein synthesis. This defect in CFTR protein disrupts the chloride and water channel across the cell. The CFTR protein acts as a channel across the cell membranes which are specialized to produce mucus, sweat, tears etc. Failure of transport channel will result in symptoms like secretion of thick mucus. This mucus can obstruct the airflow and glands resulting in symptoms of cystic fibrosis.
