STAT midterm review chapter 1

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What is simulation in data gathering?

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Simulation is a technique used to model the behavior of a system or process by creating a virtual representation, allowing researchers to analyze potential outcomes without conducting real-world experiments.

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What is a simple random sample?

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A simple random sample is a sampling method where each member of a population has an equal chance of being selected, often achieved through random number generation.

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What is the difference between nominal and ordinal data?

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Nominal data categorizes variables without a specific order (e.g., types of fruit), while ordinal data categorizes variables with a defined order (e.g., rankings in a competition).

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What is an experiment in research?

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An experiment is a research method where variables are manipulated to observe their effect on other variables, allowing for cause-and-effect conclusions.

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What is quantitative data?

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Quantitative data refers to numerical information that can be measured and quantified, such as the number of items in a store.

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What is qualitative data?

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Qualitative data refers to descriptive information that cannot be measured numerically, such as colors, names, or labels.

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What is a census in data collection?

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A census is a comprehensive data collection method that involves gathering information from every member of a population.

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What is systematic sampling?

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Systematic sampling is a method where researchers select every nth member from a list or population, ensuring a structured approach to sampling.

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What is the purpose of using a random-number table in sampling?

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A random-number table is used to ensure that the selection of samples is random and unbiased, providing a fair representation of the population.

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What is the significance of ordinal data in statistics?

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Ordinal data is significant because it allows for ranking and ordering of data points, which can be useful in understanding preferences or levels of satisfaction.