Stat 114: Introduction to Statistics

  • Statistics - branch of science that deals with the collection, organization, analysis, interpretation, and presentation of data.

  • Statistical inquiry - designed research providing information needed to solve a research problem.

  • Information - processed data.

  • Population - collection of all elements under a statistical inquiry.

  • Sample - subset of the population.

  • Elements - units whose characteristics will be observed & measured to answer research problem.

  • Variable - characteristic/attribute of elements in a collection that can assume diff. Values for diff. elements.

  • Observation - realized value of a variable measured from an experiment.

  • Data - collection of observations.

  • Summary measure - single numeric figure that describes a particular feature of the whole collection. 

    • Parameter - describes specific characteristic of a population

    • Statistic - describes specific characteristic of a sample


  • Applied statistics - procedures & techniques used in the collection, organization, analysis, interpretation, and presentation of data.

    • Select & implement proper statistical methods

      • Descriptive Statistics - techniques used for data on hand; cannot make generalizations if data on hand is sample data

      • Inferential Statistics - analyze sample data to make generalizations

        • Arrive at conclusions with uncertainty due to partial info only

        • Probability theory will help understand possible errors

  • Theoretical/mathematical statistics - development of mathematical foundations used in applied statistics

    • Rationale behind methods used; establish new theories that will validate the use of new stat methods/modify existing methods


Objectives of Doing a Statistical Inquiry: (DDDCCPRIF)

  • Describe characteristics of population through parameter estimation/computation

  • Compare characteristics of elements in different subgroups through contrast

  • Justify assertion made by researcher about population characteristic

  • Determine nature/strength of relationships among the diff. values of interest

  • Identify diff. groups of interrelated variables under study

  • Reveal the natural groupings of elements in the population based on the values of a set of variables

  • Determine effects of one or more variables on a response variable

  • Clarify patterns & trends in the values of a variable over time/space

  • Predict the value of a variable based on its relationship with another variable

  • Forecast future values of a variable


Stages in Doing a Statistical Inquiry:

  1. Identify the problem

  2. Plan the study

  3. Collect the data

  4. Explore the data

  5. Analyze & interpret the results

  6. Present the results