Explanation:
its like a financial support
3x+2=29
3x=27
x=9
Hope this helps
Following enlisted are the answers for the above mentioned question.
Explanation:
1. Population pyramids is graphical representation of data which enables oneself to distinguish and have a clear picture in minds about the ratio of population densities keeping any one parameter as constant. Population pyramids could be used to analyze data in many different scales on the basis of gender,age groups, race etc. Examples-having a record of no. of individuals in different age groups in India.
2. Generally, there are 3 types of population pyramid on the basis of shapes of the pyramid. Those are;
- Expansive
- Constrictive
- Stable
Siting an example of age-sex pyramids,
In case of the Expansive, population pyramids show that the populations that have a larger number of persons in young age groups. The shape obtained hence is usually with high fertility rates with lower death rates
Then comes, Constrictive population pyramids. These are named so since they are constricted at the bottom. They undue a low percent of young people as compared with other age groups. These type of pyramids show decreasing birth rates.
And at last, Stationary also called as stable population pyramids are the ones which depicts almost equal proportion of the population in each of the all age groups. There is not a decrease or increase in population; it is stable.
Answer:
Peanuts aren't actually a true nut
Explanation:
- <u> </u><u>they're a legume (in the same family as peas and lentils).</u>
- <u> For this reason, people who are allergic to peanuts can also be allergic to tree nuts, such as almonds, Brazil nuts, walnuts, hazelnuts, macadamia nuts, pistachios, pecans, and cashews.</u>
Answer:
1. It reduces the probability of sampling bias.
2. A random sample will be more representative of the whole population.
3. Allows the researcher to determine the efficacy of the fertilizer.
Explanation:
Selecting a simple random simple from a large population is a widely used method in science. Researchers select a random sample so every individual, in this case seedling, has an equal chance to be selected.
Therefore, it is an accurate method that, although is not free from errors, avoids or reduces the probability of sampling bias. Selecting a truly random tomato seedling will be more representative of the whole population of seedling instead of selecting carefully a seedling that already has specific or desired characteristics. Hence, this random sampling will allow the researcher to determine the efficacy of the fertilizer.
