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MODULE 3: THE T-TEST (PORTAGE LEARNING STATISTICS CNSL 503, THE T-TEST) QUESTIONS AND ANSWERS 100% CORRECT

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MODULE 3: THE T-TEST (PORTAGE LEARNING STATISTICS CNSL 503, THE T-TEST) QUESTIONS AND ANSWERS 100% CORRECT What is the difference between a parameter and a statistic? A parameter is a numerical value that describes a population, such as the population mean. A statistic is a numerical value that describes a sample, such as a sample mean A statistic is a descriptive statistical result that is generated from a sample, whereas a parameter is a statistical result from a population.. Why is it important to have a representative sample? It is important to have a representative sample, because we're trying to make inferences about a certain population. In order to make correct inferences about this population, the sample must reflect the population. For instance, not having a representative sample is what called Literary Digest to predict Alf Landon to win, when FDR actually won in a land slide. Representative sample consists of members that possess the same characteristics as those of the population (e.g. age distribution) biased sample a sample that is not representative of the population simple random sampling -every member of the population has an equal chance of being selected for the sample -the probability that each member is selected is independent of one another -computers are often used to generate random numbers -best for small sample sizes systematic sampling random sampling with a system in which the starting point is random and each subsequent member selected is based on a fixed interval (e.g. every 3rd person) - the probability that each member is selected is not independent of one another

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Written in
2025/2026
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