Discuss the advantages and disadvantages of probability/non-probability sampling .Explain the difference between probability and non-probability sampling.

Define sampling and explain why a sample must be drawn from the population. • Explain the difference between probability and non-probability sampling. • Provide examples of probability sampling: simple random, cluster and stratified techniques. • Provide examples of non-probability sampling: judgement sampling, snowballing, purposeful, quota etc. • Discuss the advantages and disadvantages of probability/non-probability sampling […]

When you have a well-defined target population that can be quantified, we can determine how likely it is for each individual in that population to be a part of a sample. What do we call this sampling technique?

Please answer each question in your answer booklet, making sure that you clearly indicate the question number and the answer letter for each question. Please do not write your answers on this exam paper.Please indicate only ONE letter answer for each question. 1. When you have a well-defined target population that can be quantified, we […]

What is the best type of sampling procedure a researcher can use to generalize from a sample to a population? Why?

Statistic Assignment 4 Part A Using an example (be creative) define and explain degrees of freedom. The formula for calculating degrees of freedom for this assignment is N – 1. If N = 10 and the mean of your sample = 77.1, solve for the score X below. 52, 5, 97, 175, 40, 104, 130, […]

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