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Define Statistics.
Define Statistics.
Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw a conclusion and answer questions.
A(n) _________ is a person or object that is a member of the population being studied.
A(n) _________ is a person or object that is a member of the population being studied.
individual
A(n) ______ is a numerical summary of a sample, and a(n) ______ is a numerical summary of a population.
A(n) ______ is a numerical summary of a sample, and a(n) ______ is a numerical summary of a population.
statistic; parameter
What are variables?
What are variables?
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Is the numerical value '21' in a phone survey of 100 random houses a parameter or a statistic?
Is the numerical value '21' in a phone survey of 100 random houses a parameter or a statistic?
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What is the difference between a parameter and a statistic?
What is the difference between a parameter and a statistic?
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Determine if the variable 'color of a car driven' is qualitative or quantitative.
Determine if the variable 'color of a car driven' is qualitative or quantitative.
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Determine if the quantitative variable 'frequency of a guitar note' is discrete or continuous.
Determine if the quantitative variable 'frequency of a guitar note' is discrete or continuous.
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What is the difference between a discrete and continuous variable?
What is the difference between a discrete and continuous variable?
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Determine if the variable 'points scored in a college basketball game' is discrete or continuous.
Determine if the variable 'points scored in a college basketball game' is discrete or continuous.
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What is the level of measurement of the variable 'favorite film'?
What is the level of measurement of the variable 'favorite film'?
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What is the level of measurement of the variable 'highest degree conferred'?
What is the level of measurement of the variable 'highest degree conferred'?
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Define an ordinal variable.
Define an ordinal variable.
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Define a nominal variable.
Define a nominal variable.
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Define an interval variable.
Define an interval variable.
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Define a ratio variable.
Define a ratio variable.
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In a study contacting 1162 adults aged 20 to 90, what is the population?
In a study contacting 1162 adults aged 20 to 90, what is the population?
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In the duct tape versus cryotherapy study, what is the sample?
In the duct tape versus cryotherapy study, what is the sample?
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What identifies the research objective of the duct tape and cryotherapy study?
What identifies the research objective of the duct tape and cryotherapy study?
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List the descriptive statistics from the duct tape versus cryotherapy study.
List the descriptive statistics from the duct tape versus cryotherapy study.
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What was the conclusion of the duct tape versus cryotherapy study?
What was the conclusion of the duct tape versus cryotherapy study?
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In the context of analyzing zip codes, what is the level of measurement of 'zip code'?
In the context of analyzing zip codes, what is the level of measurement of 'zip code'?
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Does the level of measurement of the variable 'zip code' change when associating it with population density?
Does the level of measurement of the variable 'zip code' change when associating it with population density?
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What is the research question addressed in the study about protein levels when the heart is stressed?
What is the research question addressed in the study about protein levels when the heart is stressed?
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Identify the population in the protein study.
Identify the population in the protein study.
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In the protein study, what is the sample?
In the protein study, what is the sample?
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What are the descriptive statistics from the protein study?
What are the descriptive statistics from the protein study?
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What are the inferences of the protein study?
What are the inferences of the protein study?
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Study Notes
Introduction to Statistics
- Statistics involves the collection, organization, summarization, and analysis of information to draw conclusions and answer questions, including confidence measures in findings.
Population and Individual
- Population refers to the entire group under study; an individual is a member of that population.
Summary Measures
- A statistic is a numerical summary derived from a sample, while a parameter is a numerical summary derived from the entire population.
Variables
- Variables are characteristics of individuals within a population, with variations necessitating statistical analysis.
Parameter vs. Statistic
- An example illustrates a statistic as it describes a characteristic derived from a sample (e.g., the count of families with garages from a sample of households).
Qualitative vs. Quantitative Variables
- Qualitative variables categorize characteristics (e.g., car color).
- Quantitative variables can be discrete (countable) or continuous (not countable).
Discrete vs. Continuous Variables
- Discrete variables have a finite or countable set of values (e.g., points scored in a game), while continuous variables can take an infinite number of values (e.g., frequency of a guitar note).
Levels of Measurement
- Nominal: categorizes without order (e.g., favorite film).
- Ordinal: categorizes with a ranked order (e.g., highest degree conferred).
- Interval: has meaningful differences, but zero does not indicate absence (e.g., temperature).
- Ratio: has meaningful ratios, and zero indicates absence, allowing all arithmetic operations (e.g., weight).
Research Studies
- Identifying population and sample:
- Population: Adults aged 20-90 in Europe.
- Sample: 1162 adults surveyed.
Research Objectives
- Example study objective questioned duct tape's effectiveness compared to cryotherapy for warts treatment.
- Sample included 60 patients; descriptive statistics showed success rates of treatments.
- Conclusions indicated duct tape's superiority.
Importance of Variable Definition
- Clearly defining variables impacts analysis type; zip code is nominal, but if viewed in terms of population density, it changes to ordinal.
Health Outcome Study
- A study measured protein levels' impact on health over seven years, revealing higher protein levels were significantly associated with increased mortality risk.
- Addressed research questions focused on protein levels' correlation with health outcomes. Population included all individuals; the sample consisted of 1034 patients, with descriptive statistics highlighting the strong mortality association linked to protein levels.
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Description
Test your knowledge with these flashcards covering the basics of statistics. This set focuses on key definitions and concepts essential for understanding statistical analysis. Perfect for anyone beginning their journey in statistics!