Exam 1 Flashcards
HILE Gauss
Homegenatiy, Independance, Linearity, Existance
Gaussian Errors
Type 1 error
Rejecting a true null.
Type 2 error
accepting a false null
normality
variances are a normal distrubtion
variances in the groups are equal
homogenatiy
central limit theorem
sample distrubtion and sample means are approximatly normal much like the population
Determined the central limit therom
LaPlace
Beta
probablity of type 2 error
probaility of making a type 1 error
alpha
1-beta
power
overall alpha
alpha
exerpiment wise alpha level
1-alpha
the extent to which the groups differ in population on the dependent variables
effect size
alpha in regression equation
y-intercept- y value when x is zero
beta in regression equation
slope- change in y for every unit change in x
smallest disatnace between a data point and the line
ordinary least squares
r squre
how much variance is accounted for by the independent variables
semipartial varance for standard regression
variable/ A+B+C+D+E+F
paritial varance for standard regression
variable/ A+F
how do you compute the variance covariance matrix
divide each term in the deviation sums of squares and cross product matrix by n
determinant
generlized variance
larger deteminant
the covariance is less thus a lower variable correlation
to invert a matrix you….
mulitple the matrix by a matrix divided by the determinatn
if the determinant is zero….
the matrix is singular and has no inverse
