stats ppt 2

8/3/2019 stats ppt 2

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PRESENTED BY:

AKASH KEYAL

ANKIT MAHAJAN

DEEPAK RANA

GAURAV ARORA

HARI KISHAN

HARSH MEHTA

HARSHITA SATIJA


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Introduction

General

plan ofsurvey

Experiment

al design

Analysis of

weekdaygraph

Analysis of

weekendgraph

Chi-squaretest for

independen

ce

Conclusion


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Adolescents no longer venture out of their homes to "hang

out" with their friends.

Rather, the luxuries of a computer and social networking sitesoccupy the passing day hours as social connections are

maintained indoors.

Facebook is easily becoming an "addiction," taking away fromstudying time and a normal sleep schedule.


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to communicate to friends all of the nation and the world

to communicate to friends all of the nation and the world

asking for help on a homework assignment.

asking for help on a homework assignment.

As college students ourselves, we also use Facebook frequently

as it has become a way


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With such personal experience as well as the drastic change in

society that has occurred due to Facebook, a study was

conducted to see if Facebook affects one significant age group

more so than another.

Study done via surveys on Facebook with a sample of 30

School students and a sample of 30 college students.

The survey asked questions about their age, sex, grade, grade

point average, hours of sleep, and number of hours on

Facebook on the weekdays and the weekends.


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The data was then collected, analyzed, and analyzed.

Chi-Square Test for Independence was performed leading to aproper conclusion in regarding the question:

Do School students spend more time onFacebook than college students?

Is the time spent on Facebookindependent of the two abovementioned categories?


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Objective:

Conducted a survey that would allow a comparison onFacebook hours college students and school students use.

Population description:

Survey was conducted amongst two significant groups;

College population (students of FORE School ofManagement)

School population (students of Delhi Public School)

Sample description:

This survey involved two samples, comprising of 30 studentsfrom each population.


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Sample selection process:

Two separate populations were obtained using two Facebook lists;

FORE School of Management Students and

Delhi Public School Students.

For each separate group, the sample selected was a simple randomsample.

Study Process:

Selected individuals placed in a Facebook group andmessaged with the survey attached.

The respondents answers were anonymous.

The results of the survey were then organized andanalyzed in the form of graphs and graph comparisons aswell as through the Chi-Squared Test for Independencewith aid of a computer graphing program (i.e. excel andMinitab)


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School students College students

30 30

Male students Female students

School students 15 15

College students 11 19

Age group No. of school students No. of college students

16 0 0

17 11 0

18 19 0

21 0 4

22 0 6

23 0 7

24 0 13


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Hours spent on facebook

(weekday)

No. of school students in that hour

range

No.of college student in that hour

range

Less than 1 hour 7 4

1 2 hour 9 8

2 3 hour 7 8

3 + hour 7 10

Hours spent on facebook

(weekend)

No. of school students in that hour

range

No.of college student in that hour

rangeLess than 1 hour 7 7

1 2 hour 6 8

2 3 hour 10 9

3 + hour 7 6

GPA No. of school students No. of college students

Less than 1 0 0

1-2 0 0

2-3 0 6

3-4 19 7

4+ 11 17


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Amount of time school students spend on Facebookduring the weekday is more even and symmetrical.


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When a two bar graph is used to directly compare thedistributions, the College students seem to use Facebookfor longer hours as compared to school students.


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The graphs for boththe school andcollege students areroughly symmetrical.

Both of the graphs areroughly even as well.The difference is only byone or two students atmost.


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The two bar graph does show that school students tendto use Facebook slightly more than college students


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2 = (7-5.5)2 /5.5 + (9-8.5)2/8.5 +

(7-7.5)2 /7.5 + (7-8.5)2/8.5 + (4-

5.5)2 /5.5 + (8-8.5)2/8.5 + (8-7.5)2

/7.5 + (10-8.5)2/8.5

= 1.47


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The Hypothesis is as follows

Ho : No. of hours spent on Facebook by students is

independent of School or college.Ha : No. of hours spent by students is not independent of

whether students are from School or college.

= 0.05; d.f = (4-1) (2-1) = 3 Critical value of 20.05 , 3 = 7. 8147


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Although 10 questions were asked in the survey, needed touse the answers to three of the questions:

whether the selected individuals of the sample were inschool or college;

how much time they respectively spent on Facebookduring the weekday;

and how much time the individuals respectively spent onFacebook during the weekend.

The rest of the questions we just there either for consistencyand to get more information that possibly could have beenused.


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It may seem, from a brief glance at the graphs, that collegestudents seem to spend slightly more time on Facebook thanschool students during the weekdays.

On the other hand, school students seem to spend slightlymore time on Facebook than College students during theweekends.

However, for the two chi-squared tests for Independence,we failed to reject the null hypothesis.


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