Statistics Chapter: Descriptive and Inferential
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Questions and Answers

What is the primary objective of descriptive statistics?

  • To draw conclusions about the population
  • To describe the characteristics of the sample (correct)
  • To collect and organize data
  • To perform estimations and make predictions

What type of statistics is used when the population data set is small?

  • Inferential statistics
  • Theoretical statistics
  • Applied statistics
  • Descriptive statistics (correct)

What is the term for individual pieces of factual information recorded and used for the purpose of analysis?

  • Variable
  • Statistics
  • Biostatistics
  • Data (correct)

What is the primary goal of inferential statistics?

<p>To draw conclusions about the population (A)</p> Signup and view all the answers

What is the type of statistics that deals with data analysis in biological and health fields?

<p>Biostatistics (C)</p> Signup and view all the answers

What is the term for any characteristic, number, or quantity that can be measured or counted?

<p>Variable (A)</p> Signup and view all the answers

What is the primary source of data for primary statistics?

<p>Surveys (B)</p> Signup and view all the answers

What is the term for the process of organizing, summarizing, and presenting data?

<p>Descriptive statistics (D)</p> Signup and view all the answers

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

Understand the basics of statistics, including descriptive and inferential statistics, their objectives, and tools used. Learn how to make inferences and draw conclusions about population data.

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