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THE USE OF DESCRIBING PICTURE STRATEGY T

Analysis of the Test 
The 
students‟ speaking scores in pre-test and post-test were assessed by 
using speaking rubric which is proposed by Brown (2004). The data obtained 
from the tests is analyzed statistically by using statistic calculation of the t-test 
formula with the significance degree of 5%. The purpose of the test is to find out 
the range of data, interval class, space of interval class, to make table of frequency 
distribution, mean of the table and to find out the t

score. 
a.
Range 
Range is the difference between the highest and the lowest score 
(Sudjana, 2008). The range of pre-test and post-test scores would be determined 
by using : 
R= H-L 
Notes: 
R : Range of the score
L : Lowest score 
H : Highest score 
b.
Class Number 
Sudjana (2008) mentioned that the number of interval class can be 
determined by using the formula: 
CN = 1 + (3,3) log n 


46 
Note: 
CN : Class Number
n : The number of sample 
c.
Space of interval class 
Sudjana (2008) said that to know the space of interval class, we can use 
the formula: 
Note: 
I : Interval 
R : Range 
CN : Class Number 
d.
Mean 
Arikunto (2002) stated that mean is analyzed by using the formula:
Notes: 

= Mean 
fi
= refers to frequency 
xi 
= refers to the middle score of interval class 


47 
fixi = the amount of multiplication between the frequencies and 
the middle scores of interval class. 
e.
T-score 
Sudjana (2008), in calculating the t score, we can use this formula: 
t
o
Note: 
t

: t-test 
MX 
: the mean score of deviation of pre-test 
MY 
: the mean score of deviation of post-test 
SX-Y : Standard error of the mean difference between variable X
(pre-test) and variable Y (post-test).

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