CNSL 503 Module 3: Sampling, Probability, and Hypothesis Testing Questions and Answers 100% Solved/ 2025/2026

CNSL 503 Module 3: Sampling, Probability, and Hypothesis Testing Questions and Answers 100% Solved/ 2025/2026 What is the difference between a statistic and a parameter? - A statistic is a descriptive statistical result that is generated from a sample, whereas a parameter is a statistical result from a population. A ___ sample is composed of members that generally possess the same characteristics as those of the population. They allow for accurate inferences to be made. - representative sample A ___ sample is not representative of the population. It is attributed to the researcher and data collection methods, and do not allow for accurate inferences to be made. - biased This method of sampling is when every member of the population has an equal chance of being selected, this increases the reliability of results. Each member is independent of the others: selecting one member does not increase or decrease the likelihood of another member being selected. - Random sampling This method of sampling is when each individual in the population of size has an equal chance of being selected for the sample, andrelies on chance to create a representative sample. This is NOT feasible for large populations. - Simple random sampling This method of sampling is a type of random sampling when populations can be subdivided into groups called strata. It randomly gathers data from subgroups within a sample. It is used when researchers wants to compare outcomes for different subgroups within a population or to compare outcomes within subgroups - Stratified sampling