A it is lees likely that differences among them will destroy the test results
B the chance of sampling error is unpredictable
C the it is almost impossible that differences among them will destroy the test results
D the chance OS sampling error is greater
E the chance of sampling error is smaller
Each individual in a population behaves in a slightly different manner.
each object/event/person/whatever is chosen randomly from the population.
being yoself
Random sampling ensures that a bias in the sampled subjects is avoided. It allows for a diverse and fairly chosen sample of the intended population.
Stratified sampling is a type of sampling that uses a fair representation of the population by dividing the population into different subgroups or strata and then selecting samples from each stratum in proportion to their size in the population. This method helps ensure that all groups in the population are adequately represented in the final sample.
This is known as a simple random sample, where each member of the population has an equal probability of being chosen. It is a fair and unbiased method of sampling that ensures representation from the entire population. Simple random sampling is commonly used in research studies and surveys to draw conclusions that can be generalized back to the larger population.
False
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.
That is known as a simple random sample, or SRS.
"Playing cards" are chosen at random.
Data from random samples will not always include the same values. Values are chosen randomly and they may or may not be the same. So means will vary among random samples.
because it is the list that is used for assigning numbers to individual in the population.