Note: X = mean
∑ = total score f = frequency
n = students amount X
1
= students score x
1
= X
1
- X b Standard Deviation
The formula of standard deviation: s =
∑
Note: s = standard deviation ∑ = total score
f = frequency n = students amount
X
1
= students score x
1
= X
1
- X c Variance
Variance is the square of the standard deviation.
3.6.2 T-test Statistical Analysis
The t-test was used to know the influence of using media blog and conventional method in teaching reading descriptive text. Before counting the t-test, standard
deviation should be computed. s
2
The formula was follows:
s =
In which, s = standard deviation of both groups
n
1
= students amount of experimental group s
1
= standard deviation of experimental group n
2
= students amount of control group s
2
= standard deviation of control group To find out the t-value substituting the value of the significant difference
between the two means of the pretest and posttest, the formula used was:
t =
In which, t = t-value
s = standard deviation of both groups X
1
= mean of experimental group n
1
= students amount of experimental group
X
2
= mean of control group n
2
= students amount of control group Arikunto, 2006: 295
3.6.3 Normality
The normality was used in order to prove the pretest of each group was normally distributed. First, the maximum score and minimum score of both groups were
found out. Then, the range score, class interval and class width were determined. After that, X² hitung was found. If the value of X² hitung X² αdk, the pretest
for each group was said to be normally distributed. To compute normality, the writer used the formula as follows:
In which,
2
X = Normality Oi
= Frequency of the real data Ei
= Expected frequency percentage of each bandwidth times by n Hypothesis:
Ho : The data distributed normally
Ha ; The data not distributed normally
Ho is accepted if X
2
X
2
table
Arikunto, 2006: 290
k 1
i i
2 i
i 2
E E
O
3.6.4 Homogeneity
Homogeneity is a condition in which all the variables in a sequence have the same finite or limited, and have a variance. When homogeneity of variance is
determined to hold true for a statistical model, a statistical approach or simpler computational to analyzing the data may be used to know a low level of
uncertainty in the data. To find out the homogeneity of data, the homogeneity formula was used as follows:
F=
In which, F = homogeneity
V
e
= variance experimental group V
c
= variance control group If the F hitung F table, it can be concluded that the data of the pretest was
homogeny. Arikunto, 2006: 324
By following steps above, the writer got the result of pre-test and post-test of experimental and control group of her research study. The writer should
consider the comparison of the result of pre-test and post-test to give the suggestion and conclusion related to the research.
