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Questions and Answers
What is the science of collection, presentation, analysis, and reasonable interpretation of data?
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?
What are the main components that statistics uses to describe a numeric set of data?
A population is always smaller than a sample.
A population is always smaller than a sample.
False
What is the difference between a population and a sample?
What is the difference between a population and a sample?
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In probability sampling methods, what is true?
In probability sampling methods, what is true?
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In non-probability sampling methods, every individual has a chance of being included.
In non-probability sampling methods, every individual has a chance of being included.
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What is statistics?
What is statistics?
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What does statistics describe about a numeric set of data?
What does statistics describe about a numeric set of data?
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What is the difference between a population and a sample?
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.
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?
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!
