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Overview of Statistics Flashcards

Overview of Statistics Flashcards
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Data
The information that is taken from the designated population being studied.
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Population
The group from which data will be gathered.
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Sample
A part of the larger population that is meant to represent the whole. It is used in inferential statistics.
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Inferential statistics
This is information that infers from the data you have gathered. It uses samples to make assumptions about larger populations.
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Descriptive statistics
This gives you information about data that is descriptive, such as mean, median, and mode.
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Disadvantages of convenience sampling

1. Data bias issues, both from self-selection and researcher bias.

2. Parameter issues, such as creating a sample that doesn't reflect the larger population.

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Advantages of convenience sampling

1. Researcher has easy access to the sample.

2. Date collection can be quick and fast.

3. It requires fewer resources.

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Convenience sampling
A type of sampling where the samples are chosen based on how easy it is to obtain them.
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Flashcard Content Overview

You can use these flashcards to solidify your introduction to statistics and gain a better understanding of how to use statistics in math and science. Types of statistics, including descriptive and inferential, are covered, as well as types of data, such as discrete, continuous and quantitative. This set will also introduce you to the basic vocabulary it is important to have for studying statistics, such as ratio, interval, population, and sample.

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Convenience sampling
A type of sampling where the samples are chosen based on how easy it is to obtain them.
Advantages of convenience sampling

1. Researcher has easy access to the sample.

2. Date collection can be quick and fast.

3. It requires fewer resources.

Disadvantages of convenience sampling

1. Data bias issues, both from self-selection and researcher bias.

2. Parameter issues, such as creating a sample that doesn't reflect the larger population.

Descriptive statistics
This gives you information about data that is descriptive, such as mean, median, and mode.
Inferential statistics
This is information that infers from the data you have gathered. It uses samples to make assumptions about larger populations.
Sample
A part of the larger population that is meant to represent the whole. It is used in inferential statistics.
Population
The group from which data will be gathered.
Data
The information that is taken from the designated population being studied.
Quantitative data
Data that is measurable and that you can put in order.
Categorical data
Data that is grouped by topic or category.
Discrete data
Data that is already at its smallest size and can't be further divided. It can only have certain specific values.
Continuous data
Data that can continually be divided without end and can be any value.
Nominal data
Categorical data which gives number values that equate to an attribute of a non-number. For example, in a study about types of animals, all puppies are given the code 7.
Ordinal data
Information that can be ordered and ranked. For instance, 1st place, 2nd place, etc.
Interval measurement
Information that is evenly distributed into groups based on how each group differs from each other. For instance, dogs might be between 10-20 lbs, 21-30 lbs, etc.
Ratio
A type of measurement used in statistics to compare two numbers. It uses a colon - for example, 3:1.

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