Endterm

Question 1

Testing two independent means with EQUAL variances.

Give formulae and distribution

Answer 1

T test with the sample pooled variance,

Question 2

CI for independent T test w/ EQUAL variance

keep in mind df

Answer 2

…… +-Ta/2;(n1+n2-2)*SQRT pooledvar(1/n1 + 1/n2)

Question 3

Testing two independent means with UNEQUAL variances.

Give formulae and distribution

Answer 3

T test w/o pooled var,

Distribution ~t(m)

Question 4

CI for independent T test w/ UNEQUAL variances.

Answer 4

+- Ta/2;m

Question 5

Test for dependent (same group twice ) means

Answer 5

Matched pair T test ~T(n-1)

Question 6

Compare two sample proportions testing for H0: p1-p2=0

Answer 6

Z test formula where P^ = y1+y2/n1+n2 and where under sqrt we have abc

Question 7

Compare two sample proportions testing for H0: p1-p2 = h (different from 0 )

Answer 7

Z test where under sqrt we have a+b

Question 8

CI for two sample proportions

Answer 8

CI with SE w/ a+b under sqrt

Question 9

Two sample variance test when H0: a/b = 1

Answer 9

F = S1^2/S2^2

Question 10

Two sample variance test when H0: a/b = h (not equal)

Answer 10

F = S1^2/S2^2 / h

Question 11

CI for two sample variance test (the one with the trick)

Answer 11

U = normal 
L = trick with 1 minus...

Question 12

Multiple Regression

Test for slope and distribution

Answer 12

T test ~t(n-k-1)

Question 13

Multiple regression

CI for T test

Answer 13

CI = Bi +- Ta/2; n-k-1 * SBi

Question 14

Multiple regression

Usefulness complete model

Answer 14

F = MSR/MSE = SSR/k / SSE/n-k-1   ~Fa; k; n-k-1
F = R^2/k / 1-R^2 / n-k-1

Question 15

Multiple regression

Reduced model

Answer 15

F = SSEr-SSEc / k-g / SSEc/n-k-1
F = R^2c-R^2r / k-g / 1-R^2c/ n-k-1  ~Fa; k-g;n-k-1