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Questions and Answers
What is the main objective of inferential statistics?
What is the main objective of inferential statistics?
What is the primary goal of descriptive statistics?
What is the primary goal of descriptive statistics?
What is biostatistics?
What is biostatistics?
What is a variable in statistics?
What is a variable in statistics?
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What is the main difference between primary and secondary data?
What is the main difference between primary and secondary data?
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What is the purpose of collecting data?
What is the purpose of collecting data?
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What is the name of the branch of statistics that deals with mathematical theories?
What is the name of the branch of statistics that deals with mathematical theories?
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What is the difference between descriptive and inferential statistics?
What is the difference between descriptive and inferential statistics?
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Study Notes
Types of Statistics
- Inferential Statistics: uses sample data to make inferences about the population
- Descriptive Statistics: organizes and summarizes data using numbers and graphs, describes characteristics of the sample
Inferential Statistics
- Objective is to draw conclusions about the population data
- Involves drawing conclusions, performing estimations, and making predictions
- Tools used: Hypothesis test, ANOVA
- Form of results: probability score
Descriptive Statistics
- Objective is to describe the characteristics of the sample data
- Involves collection, organizing, summarizing, and presenting data
- Tools used: Measure of Central Tendency, Measure of Variability
- Results presented in charts, graphs, and tables
Measure of Central Tendency
- Mean
- Mode
- Median
Measure of Variability
- Range
- Variance
- Dispersion
Kinds of Statistics
- Theoretical Statistics
- Mathematical Statistics
- Applied Statistics
- Inferential Statistics
- Descriptive Statistics
Data
- Definition: Individual pieces of factual information recorded and used for the purpose of analysis
- Can be primary or secondary
- Primary data sources: surveys, interviews, pools
- Secondary data sources: annual reports, internet data, open governmental data
Biostatistics
- Definition: application of statistical principles to biological and health fields
Variables
- Definition: any characteristic, number, or quantity that can be measured or counted
- Example variables: Gender, Hair color, Ethnicity, Economic status
- Types of data: Nominal, Ordinal, Qualitative, Quantitative, Discrete, Continuous
- Examples of discrete data: number of students in a class, number of home runs in a baseball game
- Examples of continuous data: height of children, square footage of a two-bedroom house, speed of cars
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Description
This quiz covers the basics of inferential and descriptive statistics, including making inferences about a population, summarizing data, and visualizing results. Learn about the objectives and tools used in these statistical methods.
