Basic Statistics Definitions
29 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

Match the following terms with their definitions:

Population = An entire group to be studied Sample = A selection or subset of members from the population Element = A single member of a population or sample Variable = A characteristic of the members of a population

Match the following types of statistics with their purpose:

Descriptive Statistics = Organizing and summarizing information Inferential Statistics = Drawing conclusions about a population from a sample Census = Collecting data from ALL members of a population Sampling Survey = Collecting data from a sample of a population

Match the types of variables with their descriptions:

Qualitative Variable = Measures a non-numerical characteristic Quantitative Variable = Measures a characteristic that can be ranked or ordered Discrete Quantitative Variable = Can only take on certain values, usually integers Continuous Quantitative Variable = Can take on any value within an expected range

Match the types of data with their definitions:

<p>Univariate Data = Only 1 variable sampled on the elements Bivariate Data = Two variables sampled on the elements Multivariate Data = Three or more variables sampled Cross-Sectional Data = Data sampled at a particular point in time</p> Signup and view all the answers

Match the following data collection methods with their characteristics:

<p>Cross-Sectional Data = Sampled at a particular point in time Time-Series Data = Sampled at multiple points in time Sampling = The selection of elements from a population for study Sampling Design = A methodology for choosing elements from a population</p> Signup and view all the answers

Match the key terms with their respective notations:

<p>N = Population size (number of elements in the population) n = Sample size (number of elements in the sample) E = Single member of a population or sample V = A characteristic of members of a population</p> Signup and view all the answers

Match the statistical concepts with their examples:

<p>Descriptive Statistics = Summarizing survey results Inferential Statistics = Projecting sample findings to the entire population Census = Data collection from every household Sampling Survey = Conducting a poll of 1000 voters</p> Signup and view all the answers

Match the sampling methods with their descriptions:

<p>Simple Random Sampling = Every member of the population has an equal chance of selection Systematic Sampling = Selecting every k-th member from a list Stratified Sampling = Dividing the population into subgroups before sampling Cluster Sampling = Sampling entire groups or clusters within the population</p> Signup and view all the answers

Match the following random sampling designs with their descriptions:

<p>Simple Random Sampling = Every element has an equal likelihood of being chosen Stratified Random Sampling = Selecting elements from subgroups proportionally Cluster Sampling = Dividing the population into clusters and including all from selected clusters Systematic Sampling = Selecting every kth element after a random start</p> Signup and view all the answers

Match the following non-random sampling designs with their definitions:

<p>Convenience Sampling = Sampling all easily accessible elements Judgement Sampling = Experimenter decides the sample based on specific criteria Quota Sampling = Selecting based on proportions of subgroups Purposive Sampling = Selecting elements for a specific purpose or study</p> Signup and view all the answers

Match the following experimental designs with their characteristics:

<p>Observational Studies = Researchers observe characteristics without intervention Designed Experiment = Researchers employ treatments and controls Field Study = Conducting research in a natural setting Laboratory Experiment = Conducting research in a controlled environment</p> Signup and view all the answers

Match the following descriptions of sampling designs with their types:

<p>Stratified Random Sampling = Proportional selection from differentiated groups Cluster Sampling = Sampling entire groups rather than individual elements Systematic Sampling = K-th selection method following a random start Simple Random Sampling = Pure chance selection without any constraints</p> Signup and view all the answers

Match the experimental design terms with their definitions:

<p>Control = A method to minimize effects from factors other than those of interest Randomization = The process of randomly assigning subjects to groups Replication = Using a sufficient number of subjects to ensure group similarity Blind Experiment = Subjects unaware of their treatment assignment</p> Signup and view all the answers

Match the types of designs with their descriptions:

<p>Completely Randomized Design = All experimental units are randomly assigned to treatments Randomized Block Design = Units are assigned to treatments within specified blocks Blind Experiment = Subjects do not know the treatment they are receiving Double-Blind Experiment = Neither subjects nor experimenters know the treatment assignments</p> Signup and view all the answers

Match the following sampling methods with their intended use:

<p>Convenience Sampling = Useful for preliminary research Judgement Sampling = Suitable for focused studies on specific groups Simple Random Sampling = Ideal for generalizing to a larger population Cluster Sampling = Efficient for geographically dispersed populations</p> Signup and view all the answers

Match the terms related to groups in an experiment:

<p>Treatment Group = Group receiving a specific treatment Control Group = Group not receiving the experimental treatment Treatment = Combination of levels of one or more factors Levels = Possible values that a factor can take</p> Signup and view all the answers

Match the following sampling terms with their explanations:

<p>Quota Sampling = Combines elements of stratified and non-random sampling Simple Random Sampling = Uses random number generators for selection Systematic Sampling = Ensures regular spacing in selection Stratified Random Sampling = Requires prior knowledge of population subgroups</p> Signup and view all the answers

Match the principles of experimental design with their purposes:

<p>Control = To isolate the effects of treatments Randomization = To avoid selection bias among groups Replication = To enhance detection of treatment differences Randomized Block Design = To control for variability among blocks</p> Signup and view all the answers

Match the following statistical principles with their associated sampling designs:

<p>Random Sampling = Enhances the ability to make inferences about a population Non-Random Sampling = Limits generalizability of results Stratified Sampling = Aims for representation across diverse groups Systematic Sampling = Simplicity and ease of implementation</p> Signup and view all the answers

Match the block types with their characteristics:

<p>Recipient of Treatment = Experimental units that receive specific treatment Baseline Treatment = A treatment given to control groups Response Variable = Outcome measured in an experiment Factor = Variable whose effect is of interest</p> Signup and view all the answers

Match the following types of sampling surveys to their features:

<p>Observational Studies = Data collected through observation Designed Experiment = Involves both treatment and control groups Survey Research = Involves asking questions to gather data Focus Groups = Utilizes discussions for qualitative insights</p> Signup and view all the answers

Match terms with related aspects of biases in experiments:

<p>Control Group = Helps mitigate biases by providing a comparison Blind Experiment = Reduces response bias from individuals' attitudes Double-Blind Experiment = Eliminates bias introduced by experimenters' attitudes Randomization = A strategy against selection bias in group formation</p> Signup and view all the answers

Match the examples of experimental conditions to their definitions:

<p>Three Daily Meals = Prescribed nutritional condition for participants Exercise Level = Factor in the weight loss study Similar Backgrounds = Criteria used to ensure group comparability Weight Loss = Response variable measured in the study</p> Signup and view all the answers

Match the terms with the appropriate experimental processes:

<p>Controlled Experimentation = Used to isolate treatment effects Selection Bias = Unintentional bias due to group constitution Experimental Units = Subjects assigned to treatments Sufficient Number of Subjects = Essential for reliable replication</p> Signup and view all the answers

Match the daily caloric intake ranges with their corresponding treatment groups:

<p>1500 – 2000 calories = Daily caloric intake between 1500 – 2000 calories, No exercise 2000 – 2500 calories = Daily caloric intake between 2000 – 2500 calories, 30 minutes of physical activity</p> Signup and view all the answers

Match the daily exercise levels with their respective treatment groups:

<p>No exercise = Daily caloric intake between 2000 – 2500 calories, No exercise 15 minutes of physical activity = Daily caloric intake between 1500 – 2000 calories, 15 minutes of physical activity 30 minutes of physical activity = Daily caloric intake between 2000 – 2500 calories, 15 minutes of physical activity</p> Signup and view all the answers

Match the treatment group descriptions with their calorie and exercise levels:

<p>Control Group = 2000 – 2500 calories, No exercise Daily caloric intake between 2000 – 2500 calories, 15 minutes of physical activity = Daily caloric intake between 1500 – 2000 calories, 30 minutes of physical activity Daily caloric intake between 1500 – 2000 calories, No exercise = Daily caloric intake between 2000 – 2500 calories, 30 minutes of physical activity Daily caloric intake between 1500 – 2000 calories, 30 minutes of physical activity = Daily caloric intake between 2000 – 2500 calories, 15 minutes of physical activity</p> Signup and view all the answers

Match the potential biases with their explanations:

<p>Selection bias = Minimized by random assignment of respondents to treatment groups Motivational bias = Respondents may assume no exercise means less weight loss Experimental bias = Due to not controlling for respondents' attitudes Replication bias = Ensured by having 80 men in each treatment group</p> Signup and view all the answers

Match the treatment levels with their group counts:

<p>Control Group = 80 men Daily caloric intake between 2000 – 2500 calories, 15 minutes of physical activity = 80 men Daily caloric intake between 1500 – 2000 calories, No exercise = 80 men Daily caloric intake between 1500 – 2000 calories, 30 minutes of physical activity = 80 men</p> Signup and view all the answers

Study Notes

Basic Statistics Definitions

  • Population: The entire group being studied.
  • Population size (N): The total number of elements in the population.
  • Sample: A subset of the population used for analysis and projection back to the population.
  • Sample size (n): The number of elements in the sample; n ≤ N.
  • Descriptive Statistics: Mathematical methods for organizing and summarizing information.
  • Inferential Statistics: Methods for drawing conclusions, and measuring the reliability of conclusions, about a population based on a sample.
  • Element/Experimental Unit: A single member of a population or sample.
  • Sampling: The process of selecting elements from a population to create a sample.
  • Sampling Design: A specific methodology for selecting elements for the sample.
  • Qualitative Variable: Measures non-numerical characteristics.
  • Quantitative Variable: Measures characteristics that can be ranked or ordered numerically.
  • Discrete Quantitative Variable: Can only take on certain, usually integer, values.
  • Continuous Quantitative Variable: Can take on any value within a given range.

Data Types

  • Univariate Data: Data collected on a single variable.
  • Bivariate Data: Data collected on two variables.
  • Multivariate Data: Data collected on three or more variables.
  • Cross-Sectional Data: Data collected at a single point in time.
  • Time-Series Data: Data collected over a period of time.
  • Census: Data collected from all members of a population.
  • Sampling Survey: Data collected from a sample of a population.

Sampling Designs (Random to Least Random)

  • Simple Random Sampling: Every element has an equal chance of being selected.
  • Stratified Random Sampling: Random selection from subgroups (strata) proportional to their representation in the population.
  • Cluster Sampling: Randomly select clusters, then include all elements within the selected clusters.
  • Systematic Sampling: Select every kth element from the population.

Non-Random Sampling Designs

  • Convenience Sampling: Selecting easily available elements.
  • Judgment Sampling: Selecting elements based on the researcher's judgment.

Experimental Designs

  • Observational Studies: Researchers observe characteristics and take measurements.
  • Designed Experiments: Researchers employ treatments and controls to observe characteristics/outcomes.
    • Treatment: Experimental condition
    • Response Variable: Outcome of interest
    • Factor: Variable whose effect is of interest
    • Levels: Possible values of a factor
    • Treatment Group: A group receiving a specific treatment.
    • Control Group: Group not receiving treatment, or receiving baseline treatment.
    • Principles of Experimental Design:
      • Control: For effects not of interest
      • Randomization: Avoid unintentional biases in group selection.
      • Replication: Sufficient subjects to ensure detection of treatment differences.
  • Completely Randomized Design (CRD): Experimental units assigned randomly to treatments.
  • Randomized Block Design: Groups (blocks) of experimental units are created to minimize variance among a given group, then treatments are assigned to units within these groups randomly

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

Related Documents

Chapter 1 Definitions PDF

Description

Test your knowledge of key concepts in basic statistics with this quiz. From understanding populations and samples to differentiating between descriptive and inferential statistics, this quiz covers essential definitions. Sharpen your skills and gain a better grasp of statistical terminology.

More Like This

Population Definition and Types
8 questions
UC Davis STA 13: Lecture 1 Flashcards
27 questions

UC Davis STA 13: Lecture 1 Flashcards

ImprovingSocialRealism4496 avatar
ImprovingSocialRealism4496
Statistics Definitions Flashcards
30 questions

Statistics Definitions Flashcards

ImprovingSocialRealism4496 avatar
ImprovingSocialRealism4496
Use Quizgecko on...
Browser
Browser