Answer:
The correct answer is option a, that is, 3000 cases.
Explanation:
The measurement of all the individuals getting influenced by the disease at a specific time is known as the prevalence. On the other hand, the measurement of the number of novel individuals that came into contact with a disease during a specific time duration is known as the incidence.
Based on the given question, the number of prevailing cases carried from 2018 to 2019 is 2000, and the new diseases recorded in the year 2019 is 1000 (incidence). Therefore, the prevalence of the disease in 2020 will be 3000 cases.
Answer: hypotonic, isotonic, hypertonic
Explanation: The tonicity of a solution depends in part on its concentration of the solute that can not pass the membrane (non penetrating solute) relative to that inside the cell.
Hypotonic solution (hypo means less): contains less concentration of non penetrating solute relative to that inside the cell. Water will enter the cell and the cell will swell and late.
Isotonic solution (Iso means same): it contains thesame solute relative to that in the cell, there will be no net movement of water across the plasma membrane.
Hypertonic solution (hyper means more) Hypertonic solution contain more solute relative to that in the cell. Hence the cell will lose water to its environment and may shrink and die.
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Bias can happen in sampling. The propensity of a sample statistic to systematically under- or
over-approximate a population is referred to as bias.
To add, in statistics, sampling bias is a bias in
which a sample is collected in such a way that some members of the
intended population are less likely to be included than others.
The following are some types of biases in Statistics:
Selection bias includes individuals being more
likely to be chosen for study than others, biasing
the sample. This can also be termed Berksonian bias
In statistical hypothesis testing, a
test is said to be unbiased if for some alpha level (between 0 and
1), the probability the null is not accepted is less than or equal to the alpha
level for the entire parameter space defined by the null hypothesis, while the
probability the null is rejected is greater than or equal to the alpha level
for the entire criterion space interpreted by the alternate hypothesis.
