Answer:
A correlation is only a mathematical means of describing the relationship between variables. When it is a positive correlation, it means when the value of one increases, for example, the value of the other variable also increases or when one decreases, so does the other. A negative correlation would show that as one variable increases in value, the other decreases. These relationships are non-causal as you're not manipulating variables to control them to see what is causing this relationship. Sometimes, non-causal covariance (or variables that don't have an effect on each other vary cooincidentally in a pattern-like fashion, when there is actually another variable causing the relationship going on.
Explanation:
In the case of this example, it is doubtful that having money causes you to have a higher grade point average. So while we see an increase in grade point average with those who have high income it could be due to other factors, like people with more money have access to learning tools, tutors and other things that people with less money don't have access to. So it is access to tools, not money that is actually causing a difference. There are likely dozens if not hundreds of other potential confounded variables that could be causing this observation.
One of the most important sources of energy is the sun. The energy of the sun is the original source of most of the energy found on earth. We get solar heat energy from the sun, and sunlight can also be used to produce electricity from solar (photovoltaic) cells
1) Renewable energy
energy from a source that is not depleted when used, such as wind or solar power
2) non renewable energy
A non-renewable resource is a natural resource that cannot be readily replaced by natural means at a pace quick enough to keep up with consumption
Answer:
Data
Explanation:
Data
Is simply defined as the gathering (collection) of information. The information sometimes can be facts, number or measurement.
In research, data can be either qualitative or quantitative.
Qualitative data are simply data that are open. They are subjective approach to data collection. It is used for preliminary investigation of new areas of inquiry. It involves small samples and has no concern with generalizability.
Quantitative data is objective in nature. It is planned approach to data collection. It involves large samples and it aim to generalize to other populations.
Data collection methods includes
1. Public and private records
2. Detached observation
3.interviews
4. Surveys/questionnaires and others
Answer:
Explanation:
Calcium is needed for strong and healthy bone of the foetus and this can only be gotten from diet in milk, cheese. About 1000mg of calcium is needed in a day for a pregnant woman.
Iron is also very important its helps in the production of red blood cells and its ensures the availability in the foetus. About 25mg is needed daily and can be gotten from beans, lean meats.
Vitamins A is also essential diet for pregnant woman. It is required for good eye sight, body growth and skin formation in the baby and it can be obtained from vegetables such as carrot, sweet potatoes.
