Exam 1

Question 1

HILE Gauss

Answer 1

Homegenatiy, Independance, Linearity, Existance

Gaussian Errors

Question 2

Type 1 error

Answer 2

Rejecting a true null.

Question 3

Type 2 error

Answer 3

accepting a false null

Question 4

normality

Answer 4

variances are a normal distrubtion

Question 5

variances in the groups are equal

Answer 5

homogenatiy

Question 6

central limit theorem

Answer 6

sample distrubtion and sample means are approximatly normal much like the population

Question 7

Determined the central limit therom

Answer 7

LaPlace

Question 8

Beta

Answer 8

probablity of type 2 error

Question 9

probaility of making a type 1 error

Answer 9

alpha

Question 10

1-beta

Answer 10

power

Question 11

overall alpha

Answer 11

alpha

Question 12

exerpiment wise alpha level

Answer 12

1-alpha

Question 13

the extent to which the groups differ in population on the dependent variables

Answer 13

effect size

Question 14

alpha in regression equation

Answer 14

y-intercept- y value when x is zero

Question 15

beta in regression equation

Answer 15

slope- change in y for every unit change in x

Question 16

smallest disatnace between a data point and the line

Answer 16

ordinary least squares

Question 17

r squre

Answer 17

how much variance is accounted for by the independent variables

Question 18

semipartial varance for standard regression

Answer 18

variable/ A+B+C+D+E+F

Question 19

paritial varance for standard regression

Answer 19

variable/ A+F

Question 20

how do you compute the variance covariance matrix

Answer 20

divide each term in the deviation sums of squares and cross product matrix by n

Question 21

determinant

Answer 21

generlized variance

Question 22

larger deteminant

Answer 22

the covariance is less thus a lower variable correlation

Question 23

to invert a matrix you….

Answer 23

mulitple the matrix by a matrix divided by the determinatn

Question 24

if the determinant is zero….

Answer 24

the matrix is singular and has no inverse