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Questions and Answers
What is the primary focus of public health?
What is the primary focus of public health?
Statistics is concerned with the presentation of data.
Statistics is concerned with the presentation of data.
False
Define Population in biostatistics.
Define Population in biostatistics.
A collection of persons/things or characteristics in which we have the interest to investigate.
A sample is a subset of a ________.
A sample is a subset of a ________.
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Match the following data types with their descriptions:
Match the following data types with their descriptions:
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Which is an example of a dependent variable?
Which is an example of a dependent variable?
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What is biostatistics primarily concerned with in public health?
What is biostatistics primarily concerned with in public health?
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Which are examples of variables? (Select all that apply)
Which are examples of variables? (Select all that apply)
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A sample should be a representative part of the ______.
A sample should be a representative part of the ______.
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Match the data types/measurement scales: (1) Nominal, (2) Ordinal, (3) Discrete, (4) Continuous
Match the data types/measurement scales: (1) Nominal, (2) Ordinal, (3) Discrete, (4) Continuous
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Descriptive statistics is a step in Explanatory Data Analysis.
Descriptive statistics is a step in Explanatory Data Analysis.
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Study Notes
Introduction to Biostatistics
- Biostatistics is a branch of statistics that deals primarily with the biological sciences and medical/health-related disciplines.
- Public health is primarily concerned with disease prevention in human populations, and epidemiology is the branch of public health that attempts to discover the causes of disease to make disease prevention possible.
Population and Sample
- A population is a collection of persons/things or characteristics in which we have an interest to investigate.
- A sample is a subset of a population.
- A sample should be a representative part of the population.
Variables
- A variable is a characteristic that takes on more than one value.
- Examples of variables include age, gender, business income and expenses, country of birth, capital expenditure, class grades, eye color, and vehicle type.
- If a sample consists of 50 males, then gender is not a variable in this sample but is termed a constant.
Independent and Dependent Variables
- An independent (explanatory) variable is the cause, and its value is independent of other variables in the study.
- A dependent (response) variable is the effect, and its value depends on changes in the independent variable.
Data Types/Measurement Scales
- Nominal data measures values that fall into categories with no natural numerical value.
- Ordinal data falls into categories that can be qualitatively ordered but have no intrinsic numerical value.
- Discrete data is measured quantities that take on specific values, usually integers.
- Continuous data is measured quantities not restricted to specific values.
Statistics
- A parameter is any summarization of the elements of a population.
- A statistic is any summarization of the elements of a sample.
Descriptive Statistics: Exploratory Data Analysis
- Exploratory data analysis (EDA) allows us to visualize distributions and relationships, detect errors, and assess assumptions for confirmatory analysis.
- EDA is the first step of data analysis.
Introduction to Biostatistics
- Biostatistics is a branch of statistics that deals primarily with the biological sciences and medical/health-related disciplines.
- Public health is primarily concerned with disease prevention in human populations, and epidemiology is the branch of public health that attempts to discover the causes of disease to make disease prevention possible.
Population and Sample
- A population is a collection of persons/things or characteristics in which we have an interest to investigate.
- A sample is a subset of a population.
- A sample should be a representative part of the population.
Variables
- A variable is a characteristic that takes on more than one value.
- Examples of variables include age, gender, business income and expenses, country of birth, capital expenditure, class grades, eye color, and vehicle type.
- If a sample consists of 50 males, then gender is not a variable in this sample but is termed a constant.
Independent and Dependent Variables
- An independent (explanatory) variable is the cause, and its value is independent of other variables in the study.
- A dependent (response) variable is the effect, and its value depends on changes in the independent variable.
Data Types/Measurement Scales
- Nominal data measures values that fall into categories with no natural numerical value.
- Ordinal data falls into categories that can be qualitatively ordered but have no intrinsic numerical value.
- Discrete data is measured quantities that take on specific values, usually integers.
- Continuous data is measured quantities not restricted to specific values.
Statistics
- A parameter is any summarization of the elements of a population.
- A statistic is any summarization of the elements of a sample.
Descriptive Statistics: Exploratory Data Analysis
- Exploratory data analysis (EDA) allows us to visualize distributions and relationships, detect errors, and assess assumptions for confirmatory analysis.
- EDA is the first step of data analysis.
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Description
This quiz covers the basics of biostatistics, including measurement, in the context of public health and epidemiology. It discusses the importance of quantitative methods in disease prevention and health investigations.
