Term 2 Finals Part 2

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What is voluntary response sampling?

Back

Voluntary response sampling is a type of sampling where individuals choose to participate in a survey or poll, often leading to biased results because those who feel strongly about the issue are more likely to respond.

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What is a valid statistical question?

Back

A valid statistical question is one that anticipates variability in the data and can be answered by collecting data. It typically involves a population and asks about characteristics of that population.

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What is the difference between a population and a sample?

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A population is the entire group of individuals or instances about whom we hope to learn, while a sample is a subset of the population selected for the actual study.

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What is convenience sampling?

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Convenience sampling is a non-probability sampling technique where subjects are selected because of their convenient accessibility and proximity to the researcher.

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What does it mean if a sample is biased?

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A sample is biased if it does not accurately represent the population from which it is drawn, leading to results that are systematically different from the true population parameters.

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What is the purpose of running simulations in statistics?

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Simulations in statistics are used to model the behavior of a statistical process or to estimate the probability of different outcomes based on random sampling.

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What is a dotplot?

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A dotplot is a simple statistical chart that consists of dots plotted on a number line, used to visualize the distribution of data points.

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What is the significance of a sample size in statistical analysis?

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The sample size affects the reliability of the results; larger sample sizes generally lead to more accurate estimates of the population parameters.

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What is the role of random sampling in statistics?

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Random sampling ensures that every individual in the population has an equal chance of being selected, which helps to eliminate bias and allows for generalization of results.

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What is the difference between descriptive and inferential statistics?

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Descriptive statistics summarize and describe the features of a dataset, while inferential statistics use a random sample of data to make inferences about the larger population.