A PET scan would be most useful for detecting brain areas that are most active as a person performs mathematical calculations.
Accidental sampling is a type of nonprobability sampling which involves the sample being drawn from that part of the population which is close to hand. That is, a sample population selected because it is readily available and convenient. The researcher using such a sample cannot scientifically make generalizations about the total population from this sample because it would not be representative enough. For example, if the interviewer was to conduct such a survey at a shopping center early in the morning on a given day, the people that he/she could interview would be limited to those given there at that given time, which would not represent the views of other members of society in such an area, if the survey was to be conducted at different times of day and several times per week. This type of sampling is most useful for pilot testing.
more useful, the most useful
The words useful to are also found in construction such as It is useful to do.
No. Cluster sampling and stratifed random sampling are different, though often confused. (They may, however, be used in conjunction in some sampling designs.) Both are types of random sampling.STRATIFIED sampling involves identifying a variable that will break up your population into separate homogeneous groups (homogeneous in terms of the variable you are interested in). For example, suppose you want to know about the attitudes of kids about their future. Perhaps you have reason to believe this will change with time. If you collected a sample from high schools, you could stratify by grade, giving you 4 relatively homogeneous groups: freshmen, sophomores, juniors, seniors. Then, a common approach is to sample a similar number from each group.Sometimes, though, separating the groups isn't so clear cut. Perhaps you want to stratify based on religion. You can't tell this from looking at a person. So perhaps you collect sample data and apply strata after the fact! This can be useful, but there are some statistical techniques that require equal (or nearly) sample sizes for the strata.CLUSTER sampling involves breaking your population into fairly similarly sized groups called clusters (try googling MSE for an example). But now you want each cluster to contain a heterogeneous mix of individuals. Then, you take a random selection of these clusters and completely enumerate inside of those selected clusters. The problem with cluster sampling is that the cluster has now become your sample unit, instead of individuals which is what you probably hoped. This can be used for counting species, or just for contacting certain populations like apartment dwellers, nursing home residents, etc. The clusters could be apartment buildings in a city. So instead of taking a random sample of apartment dwellers, you would actually randomly select a few of the buildings and talk to everyone inside! Often, this is much more cost efficient. :)
Quotas are useful especially in sampling when selecting survey participants.
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It's a useful instrument for detecting weather. It measures air pressure.
A PET scan would be most useful for detecting brain areas that are most active as a person performs mathematical calculations.
Random Sampling
Monetary factors are the aspects of an issue that have to do with money. E.g. "While it might prove useful to purchase a helicopter, the monetary factors, such as the cost of purchasing, fueling and maintaining it, together for the cost of a heliport, make it impractical."
I person must be able to understand the definition of liquidity in order to learn about monetary policy. true
Snowball sampling allows for the recruitment of hard-to-reach populations, such as marginalized or hidden communities. It is particularly useful for studying groups where there is no defined sampling frame. Additionally, it can help build trust and rapport with participants as referrals come from within the community.
brain lesion
Chemical detection alarms, chemical detection paper.
Diamonds are not generally wasted, given their monetary value and useful value as the hardest mineral known.
Work sampling involves recording activities and fixed or random intervals, these activities may or may not be rated.Work sampling is good for measuring things occurring over longer periods like the working week (e.g. contingencies like small/infrequent delays). Time study is good for measuring individual operations and operators to establish standard minute values. Work sampling can also do this and is useful for measuring groups of operators / machines at a time.