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Questions and Answers
What is the science of collection, presentation, analysis, and reasonable interpretation of data?
Statistics
What are the main components that statistics uses to describe a numeric set of data?
A population is always smaller than a sample.
False
What is the difference between a population and a sample?
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In probability sampling methods, what is true?
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In non-probability sampling methods, every individual has a chance of being included.
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What is statistics?
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What does statistics describe about a numeric set of data?
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What is the difference between a population and a sample?
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The size of a sample is always greater than the total size of the population.
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Which of the following describes a probability sampling method?
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Study Notes
Basics of Statistics
- Statistics involves collecting, presenting, analyzing, and interpreting data.
Statistical Description of Data
- Numeric data can be described by its center (e.g., mean, median), variability (e.g., range, standard deviation), and shape (e.g., distribution).
- Categorical data can be described by frequency, percentage, or proportion of each category.
Population and Sample
- A population refers to the entire group you want to understand.
- A sample is a smaller, selected group within the population from which you collect data.
- The sample size is always smaller than the total population size.
Sampling Methods
- Probability sampling: Every member of the population has an equal chance of being selected.
- Non-probability sampling: Individuals are chosen based on specific criteria, not randomly. This means not everyone has an equal chance of being included.
Basics of Statistics
- Statistics is the science of collecting, presenting, analyzing, and interpreting data.
Statistical Description of Data
- A set of numeric data can be described by its center, variability, and shape.
- A set of categorical data can be described by its frequency, percentage, or proportion of each category.
Population and Sample
- A population is the entire group that a researcher wishes to draw conclusions about.
- A sample is a specific group that a researcher collects data from.
- The size of a sample is always smaller than the total size of the population.
Sampling Methods
- Probability sampling methods: Every member of the population has a chance of being selected.
- Non-probability sampling methods: Individuals are selected based on non-random criteria, not every individual in the population has a chance of being included
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Description
Test your knowledge on the foundational concepts of statistics, including data description, population versus sample, and various sampling methods. Understand key terms and differentiate between probability and non-probability sampling. Perfect for beginners and students alike!
