Which of the following is TRUE about simple random sampling?Group of answer choicesthe sample will be evenly spacedevery individual in the population (sampling frame, more specifically) has an equal probability of respondingevery individual in the population (sampling frame, more specifically) is sampledevery individual in the population (sampling frame, more specifically) has an equal chance of being selected

Which of the following is TRUE about a sampling frame?Group of answer choicesit could be a subset of the population (i.e., not necessarily EVERY person in the population)it is created after we randomly sample the populationit is always a list of every individual in the populationit is smaller than the sample we get

A simple random sample is one which: a.The researcher has certain quota of respondents to fill for various social groupsb.A non-probability strategy is used, making the results difficult to generalizec.Every unit of the population has equal chance of being selected.d.from a random starting point, every nth unit from the sampling frame is selectedClear my choice

What is simple random sampling?a.Sampling where every individual in the population has an equal chance of being selectedb.Sampling where individuals are selected based on their availability and conveniencec.Sampling where the population is divided into homogeneous groups, and individuals are randomly selected from each groupd.Sampling where the population is divided into clusters, and clusters are randomly selected for inclusion in the sample

When sampling from a population, the best type of sampling is ...  Group of answer choicesA sample that may include voluntary responses.A sample taken from a specific segment of the population.A simple random sample from the entire populationA sample in which respondents know how others have responded.

Assumptions for Simple Random SamplingEqual Probability: Every member of the population must have an equal chance of being chosen in a basic random sampling. That is, no element has a higher or lower chance of being selected than any other.Independence: The probability that other elements will be selected shouldn’t be impacted by the choice of one element for the sample. Every option stands alone from the ones that came before it.Randomness: There should be no discernible pattern or bias in the selection process; it should be random. This makes it more likely that the sample will accurately reflect the total population.