BARAK MIZRACHI – RESEARCH METHODS REVISION NOTES
THE TESTS
TEST
MEASURING
SIGNIFICENCE IN
DIFFERENCE BETWEEN
Z-TEST
SAMPLE & POPULATION
MEAN
USE
MATHEMATICAL
IMPORTANT
METHOD
NUMBER
𝑍=
POPULATION
𝑋̅ − 𝜇0
𝜎
√𝑛
STANDARD
𝝻 Pop (X),
DEVIATION
𝝻 Sample;
𝞂 of pop
T TEST
(SINGLE
SAMPLE)
DIFFERENCE BETWEEN
Z = 1.96
= 2 STANDARD
DEVIATIONS
(ALPHA = 0.05)
SAMPLE & POPULATION
MEAN
SIGNIFICANT
IF Z< +/- 1.96
-LARGE
POPULATION
-S.D KNOWN
-VALID DATA
SAME IDEA AS Z
THERE IS A
TABLE,
DEVIATION
-USE DEGREES OF
NOT
COMMENTS
SIGNIFICANT
-SAMPLE
STANDARD
SIGNIFICANCE
IF Z > +/- 1.96
n# people.
SIGNIFICENCE IN
ADDITIONAL
REFER TO TABLE
D.O.F (n-1)
FREEDOM (n-1)
TEST BUT THE
-LIKE Z-TEST
VALUE IS
BUT SMALLER
DEPENDANT ON
POPULATION
THE TABLE
-SAMPLE
T TEST
SIGNIFICANCE BETWEEN
(INDEPENDENT)
MEAN OF 2 GROUPS
STANDARD
USE TABLE AS
DEVIATION
ABOVE
-USE DEGREES OF
D.O.F (n-2)
FREEDOM (n-2)
1
VALUE IS
REFER TO TABLE
DEPENDANT ON
THE TABLE
-THINK
“TLV VS JLM”
BARAK MIZRACHI – RESEARCH METHODS REVISION NOTES
-SAMPLE
T TEST
(DEPENDANT)
SIGNIFICANCE BETWEEN
STANDARD
MEAN OF 2 “RELATED
DEVIATION
GROUPS
-USE DEGREES OF
D - µD
t=
sˆD
-THINK
VALUE IS
REFER TO TABLE
DEPENDANT ON
THE TABLE
FREEDOM (n-2)
2
HUSBAND/WIFE
-OR
BEFORE/AFTER