Stat 281: Introduction to Probability and Statistics - PowerPoint PPT Presentation

1 / 12
About This Presentation
Title:

Stat 281: Introduction to Probability and Statistics

Description:

Stat 281: Introduction to Probability and Statistics A prisoner had just been sentenced for a heinous crime and was returned to his cell. An inquisitive guard could ... – PowerPoint PPT presentation

Number of Views:451
Avg rating:3.0/5.0
Slides: 13
Provided by: Dwig48
Category:

less

Transcript and Presenter's Notes

Title: Stat 281: Introduction to Probability and Statistics


1
Stat 281 Introduction to Probability and
Statistics
  • A prisoner had just been sentenced for a heinous
    crime and was returned to his cell. An
    inquisitive guard could not wait to ask him about
    the outcome.
  • Guard What did you get for a sentence?
  • Prisoner I could choose life or 100 years.
  • Guard And what did you choose?
  • Prisoner Well, life, obviously. Statistically
    speaking, that is the shorter sentence.

2
Hmmm
  • A statistician is a mathematician broken down by
    age and sex.
  • Did you hear the one about the statistician?
    Probably.
  • Statistics means never having to say youre
    certain (or wrong).

3
Seriously, though
  • Definitions are crucial in stats class.
  • If you dont know the precise meaning of a word,
    the whole point of the sentence/paragraph/chapter
    could be lost!
  • Concepts are important in stats class.
  • Lots of formulasdont plug in numbers
    blindlyunderstand why
  • Review and integrate

4
Definitions
  • Data (is/are?)
  • Population (of? Not a number)
  • Finite/Infinite/Practically Infinite
  • Sample (proper subset, finite)
  • Variable (response, random)
  • Parameter/Statistic
  • Greek/Latin
  • Experiment/Observational Study

5
Probability vs. Statistics
  • Probability Properties of population are known.
    Make predictions about sample.
  • Statistics Sample is known. Guess (estimate)
    properties of population.
  • Statistics (is/are?)
  • Descriptive
  • Inferential

6
Types of Data (Variables)
  • Categorical (Class, Attribute, Qualitative)
  • Numeric (Quantitative)
  • Discrete (Finite or Infinite)
  • Note Finite/Infinite values, not populations
  • Continuous (always Infinite)
  • Measurement Scales
  • Nominal
  • Ordinal
  • Interval
  • Ratio

7
Identify the Data Types
  • 1. The daily high temperature (F) in Brookings.
  • 2. The make of automobile driven by each student.
  • 3. The defect status of 9 volt batteries being
    tested.
  • 4. The weight of a lead pencil.
  • 5. The length of time billed for a long distance
    call.
  • 6. Which brand of cereal children eat for
    breakfast.
  • 7. The genre of a book checked out of the
    library.
  • 8. The time until a pain reliever begins to work.

8
Variation
  • No matter what the response variable there will
    always be variability in the data.
  • One of the primary objectives of statistics
    measuring and characterizing variability.
  • Controlling (or reducing) variability in a
    manufacturing process statistical process
    control.

9
Sampling Methods
  • Sampling Frame
  • Representative
  • Biased and Unbiased
  • Sampling Methods
  • Convenience
  • Volunteer
  • Judgment
  • Probability (random)

10
Probability Sample Designs
  • Simple Random Sample
  • Systematic Sample
  • Stratified
  • Proportional (Quota)
  • Cluster

11
The Role of Statistics
  • Central to science
  • Observation and experimentation must culminate
    with data
  • Hypotheses are evaluated based on results (data)
  • Correct conclusions are only possible if data are
    collected correctly and analyzed correctly
  • Central to many business, industry, and
    government activities.
  • Anybody who has to make objective decisions needs
    statistics.
  • Statistical thinking trains us to distinguish
    coincidences from meaningful patterns

12
Are you above average?
  • The vast majority of people have more than the
    average number of legs.
  • When she told me I was average, she was just
    being mean.
  • You know how dumb the average person is? Well,
    half the population is dumber than that!
Write a Comment
User Comments (0)
About PowerShow.com