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Statistical Models

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Title: Statistical Models


1
Statistical Models
2
Typical Statistical Regression Models
3
One Problem Area
  • Many people have forgotten what the intercept is
    and what the slope is.
  • Assignment look up and be able to explain what
    the intercept is and what the slope is.
  • Give me an example in your field give y x1 x2
    hypothetical betas and interpret everything

4
Examples
Suppose, for example, that the director of a
county highway department wants to predict the
cost of a resurfacing contract that is up for
bids. We could reasonably predict the costs to be
a function of the road miles to be resurfaced. A
reasonable first attempt is to use a linear
production function. Let y total cost of a
project in thousands of dollars, x number of
miles to be resurfaced
Write down the statistical model. What are the
parameters? What are the hypotheses? How many
populations are sampled?
5
Examples
  • A mail-order retailer spends considerable
    effort in picking ordersselecting the
    ordered items and assembling them for shipment. A
    small study took a sample of 100 orders. An
    experienced picker carried out the entire
    process. The time in minutes needed was recorded
    for each order.

Write down the statistical model. What are the
parameters? What are the hypotheses? How many
populations are sampled?
6
Examples
  • A laundry detergent manufacturer wished to
    test a new product prior to market release. One
    area of concern was the relationship between the
    height of the detergent suds in a washing machine
    as a function of the amount of detergent added
    and the degree of agitation in the wash cycle.
    For a standard size washing machine tub filled to
    the full level, random assignments of different
    agitation levels (measured in minutes) and
    amounts of detergent were made and tested on the
    washing machine.

Write down the statistical model. What are the
parameters? What are the hypotheses? How many
populations are sampled?
7
Typical ANOVA ModelsPopulation Means Model
8
Typical ANOVA ModelsPopulation Means Model
9
Examples
  • Researchers conducted an experiment to
    compare the starch content of tomato plants grown
    in sandy soil supplemented by one of three
    different nutrients, A, B, or C. The researchers
    selected 18 tomato seedlings of one particular
    variety for the study, with six assigned to each
    of the nutrient groups. They planted all
    seedlings in a sand culture and maintained them
    in a controlled environment. Those seedlings
    assigned to nutrient A served as the control
    group (receiving distilled water only). Plants
    assigned to nutrient B were fed a weak
    concentration of Hoagland nutrient, while those
    assigned to nutrient C received the Hoagland
    nutrient at full strength. The researchers
    determined the stem starch contents 25 days after
    planting the contents are recorded here, in
    micrograms per milligram.

10
Questions
  • Write down the statistical model both ways.
  • What are the parameters?
  • What are the hypotheses?
  • How many populations are sampled?

11
For SAS SPSS
  • Do an example

12
Example 2 by 3 Factorial
B 1
B 2
B 3
A 1
A 2
Assumptions?
13
ANOVA 2 - Factors
14
Example
  • An experiment was conducted to determine the
    effects of four different pesticides on the yield
    of fruit from three different varieties (B1, B2,
    B3) of a citrus tree. Eight trees from each
    variety were randomly selected from an orchard.
    The four pesticides were then randomly assigned
    to two trees of each variety and applications
    were made according to recommended levels. Yields
    of fruit (in bushels per tree) were obtained
    after the test period.

Write down the statistical model. What are the
parameters? What are the hypotheses? How many
populations are sampled?
15
The Other Model
16
Meaning
  • The meaning of the parameters depends upon the
    computer package. SAS and SPSS have the same
    meaning
  • Other programs may have different meaning

17
What is being tested
18
Questions
  • Write down the statistical model.
  • What are the parameters?
  • What are the hypotheses?
  • How many populations are sampled?

19
What is being estimated / tested?
20
Parameters - 2 by 3
21
Example
  • An experiment was conducted to determine the
    effects of four different pesticides on the yield
    of fruit from three different varieties (B1, B2,
    B3) of a citrus tree. Eight trees from each
    variety were randomly selected from an orchard.
    The four pesticides were then randomly assigned
    to two trees of each variety and applications
    were made according to recommended levels. Yields
    of fruit (in bushels per tree) were obtained
    after the test period.

Write down the statistical model. What are the
parameters? What are the hypotheses? How many
populations are sampled?
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