St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Survey 2
Submitted to:
Mr. Junlor C. Dacsa I
Submitted by:
Buen, Sheena Mae M.
Garrote, Angelica E.
Herrera, Camille R.
Date of Submission:
December 19, 2016
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
A. Results of the Survey using the Demographic Profiles of the Respondents.
Example of Discrete
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Example of Discrete
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Example of Continuous
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Example of continuous
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Example of Continuous
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Survey 2 List of names
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Explanation
Upon gathering the data’s and after tallying the results we can say that only few people
engross in different sports-related activity, people focus their selves in only one sport they
have interest and opted not to play something else. With the concept of random variable
and probability distribution we can conclude the following.
The indicated histogram doesn't create a bell-curved shape which is use to interpret if the
following data are well distributed. However, different result is solved using the Microsoft
Excel add-ins such as the descriptive statistics that showcase the skewness, kurtosis, mean,
median, mode and many more. The skewness of the distribution result is 0.682418562 it
ranges from -2< x< 2. Overall the distribution is a normal curve or normal distribution.
The result of the following is already indicated in the table and in the excel presentation
the mean, standard deviation and variance are computed with the equation. So, from the
probability distribution X represent the random variable and P(X) represent the number of
respondents who could answer the questions. The results help us to find out the interests
of the students from the age ranging from 16-18. This helps us to decide with the
extracurricular the students are interested. Using the gathered probability will be a guide
on what should we focus when it comes to sports-related activities inside or outside the
University.
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
B. Results of the Survey Using the Random Variable and Probability Distribution
Let X the random variable representing the number of sports-related
activities of the respondents
P(x) the Probability of the random variable X
The last row indicate the summation
X
(random
variable)
P(X)
(probability)
X P(X)
(mean)
X2 P(x)
(variance)
1 25
50
25
50
25
50
2 19
50
38
50
76
50
3 6
50
18
50
54
50
50
50 or 1
81
50 or 1.62
155
50 or 3.1
√∑𝒙𝟐 ∙ 𝐏(𝐱)
(standard deviation)
= √0.4756 = 0.70
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Histogram
Figure 1. The Histogram for the Probability Distribution of the Random Variable X
5 / 50
10 / 50
15 / 50
20 / 50
25 / 50
30 / 50
35 / 50
25
19
6
Pro
bab
ilit
y P
(X)
Number of Sports-Related Activities of Respondents (X)
1 2 3
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
St. Paul University – Manila
(St. Paul University Systems)
680 Pedro Gil St. Malate, Manila
Documentation