That's a random question
You are correct; convenience sampling is not random sampling.
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
Circular systematic sampling is a random sampling method. An example is random sampling of households. Assume that a random number generator provides the number 49 as a starting point. Starting with the household that is 49 on the target list, every nth household on the list would be sampled until the desired sample size is reached
stratified random sampling is a sample(strata) that a same and hemogenieous in group and that a different and heterogenious in group
They think that if they used the random sampling after people voted because they want to get a better view of who will be the next president.
Random sampling is the sample group of subjects that are selected by chance, without bias. Random assignment is when each subject of the sample has an equal chance of being in either the experimental or control group of an experiment.
Random assignment: assigning participants to experimental and control conditions by chance Vs. Random sample: a sample that fairly represents a population because each member has an equal chance of being included You decide :-D
You are correct; convenience sampling is not random sampling.
It can be but it is not simple random sampling.
a
yes
Simple!
Random Sampling
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments.
No.