Statistical Treatment
Statistical Treatment
Statistical Treatment
STATISTICAL TREATMENT
The individual responses were tabulated and subjected to statistical treatments as follows:
multiplying the weights with its respective mean and taking its sum. This will be used to
get the mean of the responses in part one and two using Likert scale.
❑
∑ ❑ wi x i
WAM = ❑
❑
∑
❑
❑ wi
w i = weight
x i = value
Range Interpretation
4 Strongly agree
3 Agree
2 Disagree
1 Strongly disagree
2
between five quantitative variables coincide with one another – that is, the extent to
which five variables are linearly related: changes in one variable correspond to changes
in another variable. The independent variable (x) will be measured through the inputs
distributed by means of the RCEF, a component of RTL and the dependent variable (y)
❑
∑ ❑( xi −μ)( yi − y)
r= ❑
√
❑ ❑
∑ ❑(x i−μ)
2
❑
∑
❑
❑( y ¿¿ i− y )2 ¿
The possible values of the correlation coefficient may range from -1 to +1, with -1
indicating a perfectly linear positive correlation (sloping upward). The result using the
Range Interpretation
3
1 Perfect correlation
0 No relationship
4
SAMPLING PLAN
The respondents of the study were grade 12 students in Divine Word College of Calapan –
Pinamalayan Campus in the province of Oriental Mindoro. The sample was derived from the
population using Simple Random Sampling (SRS) wherein all grade 12 students in different
strands were randomly chosen. This is given that every student in grade12 has experienced
public transportation that they’ve witnessed the increase in inflation first-hand within the
transport sector.