0
What else can I help you with?
What is the term for a small group that accurately reflects a large population?
The term is "representative sample." It is a subset of a population that accurately reflects the characteristics of the whole population it is meant to represent.
When every individual in a large population has a small but equal chance of being included in a survey researchers are using a procedure known as?
Researchers are using a procedure known as simple random sampling. This involves selecting individuals at random, where every individual has an equal chance of being selected, to ensure the sample is representative of the population.
Children are usually not affected negatively by a large population?
A large population can have both positive and negative effects on children. While it can provide more opportunities for social interaction and diverse experiences, it can also lead to increased competition for resources like education, healthcare, and housing. Thus, the impact of a large population on children can vary depending on the specific circumstances and the resources available.
What large country has only about 56000 residents?
Greenland is a large country with a population of approximately 56,000 residents.
What is Universitetssjukhuset MAS's population?
The population of Universitetssjukhuset MAS is 409.
How large should the sample be to be large enough?
Span the full spectrum of a population's genetic variation. <apex> Reflects the genetic variation of a population...
What properties should a sample have?
A sample should be representative of the population it is drawn from, have enough data points to provide reliable conclusions, and be selected randomly or systematically to minimize bias. Additionally, samples should be sufficiently large to ensure statistical significance.
When the sample size is large valid confidence intervals can be established for the population mean irrespective of the shape of the underlying distribution?
Yes, but that begs the question: how large should the sample size be?
What two features must a sample have to accurately represent a population?
A sample must be representative, meaning that it reflects the characteristics of the population it is drawn from. It must also be large enough to minimize sampling error and increase the likelihood of capturing the population's diversity.
Why use sample instead of population?
When performing an experiment or gathering data for statistics, it would be very difficult to gather information for every member of the group's population. Instead, one can gather information from a sample large enough to be representative of the population.
A histogram representing a sample taken from a population that is uniform?
For a large enough sample, it will resemble a rectangle whose base will be the range of the variable and the height will be the reciprocal of the number (or width) of the base.
A sample average can be used to estimate a population average precision if the sample is?
large
What is the minimum respondents of descriptive study?
There is no specific minimum number of respondents for a descriptive study. The sample size in a descriptive study should be large enough to provide a meaningful representation of the population being studied, but there is no fixed minimum requirement. The size of the sample will depend on the research objectives, the variability of the population, and the desired level of precision.
Explain the differences between a sample and a population?
A sample consists of a small portion of data when a population is taken from a large amount.
What two features must a sample have if its to accurately represent a population?
The sample must be large and random.
What does it means if the standard deviation is large?
that you have a large variance in the population and/or your sample size is too small
When population distribution is right skewed is the sampling also with right skewed distribution?
If the population distribution is roughly normal, the sampling distribution should also show a roughly normal distribution regardless of whether it is a large or small sample size. If a population distribution shows skew (in this case skewed right), the Central Limit Theorem states that if the sample size is large enough, the sampling distribution should show little skew and should be roughly normal. However, if the sampling distribution is too small, the sampling distribution will likely also show skew and will not be normal. Although it is difficult to say for sure "how big must a sample size be to eliminate any population skew", the 15/40 rule gives a good idea of whether a sample size is big enough. If the population is skewed and you have fewer that 15 samples, you will likely also have a skewed sampling distribution. If the population is skewed and you have more that 40 samples, your sampling distribution will likely be roughly normal.
