BSNS102 4

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Author:
Anonymous
ID:
90022
Filename:
BSNS102 4
Updated:
2011-06-10 06:38:45
Tags:
Statistics
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Description:
Chi Square tests, Regression, Correlation
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  1. Goodness of fit test:
    Compares an observed set of frequencies with an expected set of frequencies
  2. Test of independance:
    Checks to see if independance holds in the population
  3. X2 test Conditions:
    • Random Sample
    • Sample is large
  4. Goodness of fit test
    Conditions:
    • Fixed number of trials
    • Constant probability of success
    • Independant trials
  5. X2 test of independance
    Conditions:
    • Random Sample
    • Large sample
  6. Regression Analysis is used primarily to model :
    • Causality and provide prediction (forecasting).
    • To predict the values of a dependant variable based on values of at least one independant variable.
    • Explain the effect of the independant variables on the dependant variable.
  7. Types of Relationships
    • Positive Linear Relationship
    • Negative Linear Relationship
    • Relationship Not Linear
    • No Relationship
  8. Regression Conditions:
    • Errors: (distance between a value of y and the population regression line) are:
    • Independant of the independant variable (x)
    • Do not systematically vary with the dependant variable (y)
    • Are independant of time

    • Normality:
    • The errors are normally distributed atound the regression line

    • Homoscedasticity (constant variance):
    • For each x value, the variable of y around the regression line is the same
  9. Correlation measures:
    the degree of linear association between 2 numerical values
  10. Covariance measures:
    how one numerical variabl linearly co-varies with another numerical variables.
  11. Strength of Correlation:
    • Very Strong : r > 0.90
    • Strong : 0.75 < r < 0.90
    • Moderate : 0.4 < r < 0.75
    • Weak : r < 0.4
    • Virtually no correlation : r is close to zero
  12. Z confidence levels:
    • 90% = 1.645
    • 95% = 1.96
    • 99% = 2.576

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