Sample Population and Sample
f = x 100
Notes; f
= percentage of frequency distribution fabs = absolute frequency
N = total of respondent
2. Inferential statistical analysis Inferential statistical analysis is a statistical technique which is used to
analyze sample data. The technique is used to test the influence of variable as a partial.
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Testing of classic assumption is used to get an accurate or almost accurate appraiser
eksimator. The
testing are
normality, multicolinearitas,
heteroskedastisitas and autocorrelation test.
3. Bifilar linear regression analysis Bifilar linear regression analysis is to find out or proof relationship between
two or more independent variable variable X and one dependent variable variable Y.
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Total of variable in this research are three of independent variable such as visual learning style X
1
, auditoria learning style X
2
, kinesthetic learning style X
3
. Then, one dependent variable Y. The formula of bifilar linear regression analysis is
Y = a + b
1
X
1
+ b
2
X
2
+ b
3
X
3
+ e Notes:
Y = dependent variable students achievement
a = constantan
b
1
b
2
b
3
= regression coefficient X
1
= independent variable visual learning style
10
Ibid., p. 210.
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Husaini Usman and Purnomo Setiady, Pengantar Statistika, Jakarta: PT. Bumi Aksara, 2008, p. 241.
X
2
= independent variable auditoria learning style X
3
= independent variable kinesthetic learning style e
= error
4. Hypothesis test There are two hypothesis tests. Those are t-test and f-test.
a. T-test
To know influence independent and dependent variable in a partial, so it should make t-test. The formula which is used is
t = Notes:
b = coefficient of regression
= interval probability = standard of error
Moreover, after the result of calculating is gotten by analyzing the data, so compare the result of t-test and the value of t-table. Criteria of hypothesis could be
accepted is if proportion of t-test ≤ t-table
,
so H is accepted and Ha is rejected but
if the result of t-test ≥ t-table, so H
is rejected and Ha is accepted. Further, it can be consulted based on significance of t
alpha 0,005 so H is accepted and Ha is
rejected. b.
F-test To know influence independent and dependent as together or simulate
between independent and dependent variable so it should be make f-test. The formula which used is: