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Welcome to the Class of Bivariate Data Analysis

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Title: Welcome to the Class of Bivariate Data Analysis


1
Welcome to the Class of Bivariate Data Analysis
2
Bivariate Analysis
  • Correlation Interval or Ratio vs. I or R
  • e.g. GPA(i) vs. SAT(i)
  • T-test of mean Interval or Ratio vs. Binary
    Nominal
  • e.g. GPA(i) by Gender(n)
  • Cross tabulation Nominal or Ordinal vs. N or O
  • e.g. Gender(n) by Major(n)

3
Cross Tabulations
  • Relationship among and between variables
  • Sample divided into subgroups
  • gender
  • age
  • student status
  • How dependent variables vary by subgroup

4
Gender by Favorite Type of Soft Drink
Soft Drink Type
Gender
  • Marginal totals
  • 65 people prefer diet soft drink, while 35 prefer
    regular.
  • Note sample is near to representative of the
    population with 54 males and 46 females.
  • Does soft drink type depend on gender?
  • It would seem so from the table.
  • Need to compute percentages.

5
Gender by Preference Preference
by Gender
  • Mathematically equivalent, different messages.
  • Soft drink preference is affected by gender.
  • 83 of females preferred diet soft drink, while
    only 50 of males preferred diet soft drink.
  • Gender is affected by soft drink preference.
  • 58 of people who preferred diet soft drink were
    females, while only 42 of people who preferred
    diet soft drink were males.
  • Does this mean that preference produces gender?

6
Rule Percentage Calculations
  • Calculate s in the direction of the causal
    factor, or across the effect factor.
  • In this case
  • Gender is logically the cause or independent
    variable
  • Independent of whether the person drinks diet or
    regular pop
  • Preference for diet or regular pop, is logically
    the effect or dependent variable
  • Dependent on gender

7
Correct Calculation of Percentage
Cross tabulation of gender by type of soft drink
(n100).
8
Conditional Probability
  • Probability of one event occurring given that
    another event has occurred or will occur.
  • Be careful of past and present behavior.
  • Probability that a person prefers to drink diet
    pop GIVEN that they are female makes sense.
  • Notion that a person is female GIVEN that she
    drinks pop does not.

9
What about this one?
  • Preference for soft drink type
  • Perception of weight
  • Last soft drink purchased
  • Perception of weight

10
Soft Drink Type
Soft Drink Type
  • Marginal Totals
  • 65 people prefer to drink diet pop, while 35
    prefer to drink regular pop (as before).
  • Cross tabulation
  • 88 of people who think they are overweight
    prefer to drink diet pop, while only 25 of
    people who think they are underweight drink diet
    pop.
  • Only 12 of people who think they are overweight
    drink regular pop, while 75 of people who think
    they are underweight drink regular pop.

11
Multivariate Analysis
  • Regression
  • Dependent variable Interval or Ratio
  • Independent variable Interval, Ratio, and Binary
  • e.g. GPA(i) on SAT(i), Gender(n)
  • ANOVA
  • Dependent variable Interval or Ratio
  • Independent variable Nominal or Ordinal
  • e.g. GPA(i) on Major(n), Gender(n)

Plus, Discriminant, Factor, Correspondence,Canonic
al, SEM
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