16 Questions
What is the main objective of Inferential Statistics?
To draw conclusions about the population based on a sample
What is the primary goal of Descriptive Statistics?
To organize, summarize, and present data
What is the name of the type of statistics that deals with the collection, organization, analysis, interpretation, and presentation of data in biological and health fields?
Biostatistics
What is a variable in statistics?
Any characteristic, number, or quantity that can be measured or counted
What is the primary source of data?
Primary data from surveys
What is the term for the process of drawing conclusions about a population based on a sample of data?
Inferential Statistics
What is the term for the collection of individual pieces of factual information?
Data
What is the branch of statistics that deals with mathematical models and theories?
Theoretical Statistics
What is the primary objective of using sample data in Inferential Statistics?
To draw conclusions about the population
Which type of statistics involves organizing and summarizing data using numbers and graphs?
Descriptive Statistics
What is the term for a characteristic, number, or quantity that can be measured or counted in statistics?
Variable
What is the source of data obtained from surveys and interviews?
Primary data
Which branch of statistics deals with the analysis of data in biological and health fields?
Biostatistics
What is the term for the process of collecting, organizing, summarizing, presenting, and analyzing data?
Statistics
What type of statistics is concerned with making predictions and drawing conclusions about a population?
Inferential Statistics
What is the term for the individual pieces of factual information recorded and used for the purpose of analysis?
Data
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
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
Test your knowledge of statistics with this quiz on types of statistics, including inferential and descriptive statistics.
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