Answer:
The answer would be sampling error.
Explanation:
Sampling error occurs when the sample taken is unrepresentative of the overall population. A study population is a group of individuals selected for research who all share a common characteristic. Ideally a sample is a random selection of people from the study population. You get a sampling error when the sample is not representative of the entire study population. This can occur for example if your study population is anyone under the age of 2, for example, and some other characteristic is over represented in your sample, like you only selected 2 year-olds from upper class families. This is something that could make the sample mean different from the population mean.
Answer:
hedge funds, real estate, private equity and infrastructure....
<em>these</em><em> </em><em>are</em><em> </em><em>investment</em><em> </em><em>are</em><em> </em><em>illiquid</em><em> </em><em>.</em><em>.</em><em>.</em>
A tentative explanation is an accurate definition of a hypothesis.
Hypothesis (plural: hypotheses), in a scientific context, is a testable announcement about the connection between or greater variables or a proposed reason for a few located phenomena.
As an instance, shall we say you've got a terrible breakout inside the morning after eating a variety of greasy meals? you may wonder if there is a correlation between consuming greasy food and getting acne. You endorse the hypothesis: that ingesting greasy meals causes acne.
A hypothesis is utilized in an experiment to define the relationship between variables. The reason for speculation is to locate the answer to a query. A formalized hypothesis will force us to consider what consequences we should look for in an experiment. the primary variable is referred to as the impartial variable. There are basically sorts, specifically, null speculation and alternative hypothesis. studies commonly start off involved with a hassle. next, these hypotheses provide the researcher with some precise restatements and clarifications of the research hassle.
Learn more about the hypothesis here:
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Answer:
Dr. Edward is using longitudinal research method.
Dr. Janice used cross-sectional research method.
Explanation:
The longitudinal and cross-sectional research methos are observational research methods in which researchers observe their subjects without making any changes in an environment.
The longitudinal research method is the one in which researchers record the changes in traits of the subject or the target audience. The longitudinal research method is the one in which researchers observes their subject over a period of time which may extend upto many years.
The cross-sectional research methos, on the other hand, is the research method in which researchers compare various target audience all at the same time. The researchers perform this research only at one time unlike longitudinal research method.
In the given scenario, Dr. Edward has used the <u>longitudinal research</u> method as he observed the subject over a period of time, whereas Dr. Janice used <u>cross-sectional research method</u> as she studied her various subjects all at the same time.
Answer:
well, if in a bad situation, then it could effect the one's well- being as in insecurities, teased, bullied, it could even cause depression and anxiety. the list goes on and on. that's probably why people worn teenagers to be safe and think about what they are thinking about doing b4 they actually do it. like for example not being safe during sex. both partners could end up having a child together, unless the partners are of the same sex then I'd suggest being carful on where things go really.
Explanation:
