Revise later
SpaceTo flip
If confident
All Flashcards
What is the definition of Descriptive Statistics?
Summarizing and presenting data.
What is the definition of Data?
Numbers or labels with context.
What is the definition of a Data Set?
A collection of data points.
What is an Element in statistics?
The individual or item on which data is collected.
What are Observations in statistics?
The specific measurements or values recorded for each element.
Define 'Respondents' in data collection.
Individuals who answer surveys.
Define 'Subjects/Participants' in data collection.
Individuals involved in experiments.
What are the differences between Descriptive and Inferential Statistics?
Descriptive: Summarizes data | Inferential: Makes inferences about a population from a sample.
What are the differences between Respondents and Subjects?
Respondents: Answer surveys | Subjects: Participate in experiments.
What are the differences between Independent and Dependent Variables?
Independent: Manipulated/Controlled | Dependent: Measured/Observed; value depends on independent variable.
What are the differences between Quantitative and Categorical Variables?
Quantitative: Numerical values that represent a measurable quantity | Categorical: Data that can be divided into groups.
Explain the concept of Descriptive Statistics.
Descriptive statistics involves summarizing and presenting data to understand its characteristics.
Explain the concept of Inferential Statistics.
Inferential statistics involves making inferences or generalizations about a population based on a sample.
Explain the importance of context in data analysis.
Context provides meaning to data; without it, data is just numbers. Understanding the 'W's (Who, What, When, Where, Why, How) is crucial.
Explain the role of independent variables.
Independent variables are manipulated or controlled to observe their effect on dependent variables.
Explain the role of dependent variables.
Dependent variables are measured or observed; their values are thought to depend on the independent variables.
Explain the importance of identifying potential biases in data collection.
Biases can affect the validity of conclusions. Identifying them is crucial for accurate interpretation.