Simple random sampling for finite population are based upon the use of random numbers.Question 8Select one:TrueFalse

We can use simple random sampling for infinite population.Question 5Select one:TrueFalse

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.

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

Why would a researcher use simple random sampling as a sampling technique?a.To systematically choose samples from a given list of individuals.b.To consider giving an equal chance to the member of the accessible population being selected as part of the study.c.To group entire population into clusters since the location of the samples are widely spread.d.To ensure that all subcategories of the population are represented in the sample selection.

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 selected