Statistics Project

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description

This is an example of a logical step on a statistical investigation. A group of students as research team came up with a problem statement, did data gathering, presented and analyzed the data and then interpreted the results... I heard about this contest from this website, as I have had uploaded my Cyprus education presentation months ago.

Transcript of Statistics Project

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Introduction

The question in front of physicians now is – “can sleep or the lack of sleep cause obesity?”The recent research findings say ‘yes’, but is it true? They say that lack of sleep makes you gain fat. Sleeping less can cause changes in complex metabolic pathways that control your appetite, food intake and energy expenditure. But are they correct?

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BackgroundThe researchers have chosen the topic, the relationship of

the number of hours of sleep and weight because they want to falsify the claim that we tend to gain weight or be heavier if

we would sleep less. The researchers think that people should lose weight since we use less energy when sleeping

and we tend to use more energy when we are awake. The researchers have conducted a research to know if the claim

is really true or not. The researchers hope that the result would have significance to people who are unaware of the relation of the number of hours of sleep and weight and to

those who are aware of it and interested about the topic.

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PurposeThe purpose of this research is to shed some light about the real relationship of the hours of

sleep and the weight of a person. To inform those who are unaware of the value of the

above mentioned topic

ObjectivesThis research aims to falsify the claim that if you

would sleep less, you would gain weight, and you would lose weight if you would sleep more. This

research also aims to know the real effect of sleep to the weight of the people.

The research seeks to find out if those who sleep less are heavier than those who sleep more.

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SignificanceThe researchers believed that this study, containing

the explicit information about the significant relationship that exist between the number of hours of sleep and the weight of a person. It would prove helpful to the students and professionals who may

have an interrelated subject in the future. Definitely, will contribute to those people who are not aware

about the effects of their sleep to their weight.For this study, the researchers conducted a survey that could give additional information that would be

very helpful to understand and provide proofs about the research.

Finally, the findings of their research project can be used by the researchers as a source of information

and data in their respective future related researches.

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Scope and LimitationsThis research covers the weight and the number of hours of sleep of several first and second year Far

Eastern University students. 242 students have participated in the survey proper, they are from

sections A06A01, A06A05, A06A08, A06A18, A07B03, and M0715.

This research contains information that are valuable to the researches for it contains the data about the

weight and the average number of hours of sleep of the students.

This research is limited to FEU students only with ages ranging from 16 – 24.

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During the survey

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During the survey

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During the survey

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During the survey

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Sample Data

Name Weight Average number of hours of Sleep

Adrian Michael Azurin 73 kg 5 hrs

Sefrey De Guzman 96 kg 7 hrs

Mylene Escobar 42 kg 7 hrs

Sidlaine Roxas 42 kg 5 hrs

Regine Velasquez 50 kg 6 hrs

A06A01

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Sample Data

Name Weight Average number of hours of Sleep

Jessica Anne Cruz 51 kg 8 hrs

Juan Carlos Dario 73 kg 8 hrs

Peter Paul Dy 68 kg 7 hrs

Hershey Galang 67 kg 7 hrs

Shina Ordinario 75 kg 5 hrs

M0715

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Making the presentation

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SPSS PresentationDescriptive Statistics

Mean Std. Deviation N

Number of hours of sleep 5.98 1.430 242

Weight 57.00 13.345 242

The average number of hours of sleep of the students is 5.98 hrs, however, it normally deviates by 1.43 hrs.

The average weight of the students is 57 kg, however, it normally deviates by 13.35 kg.

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SPSS PresentationCorrelation

Scatter-point diagram

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SPSS PresentationModel Summary

Number of hours

of sleep Weight

Number of hours of sleep

Pearson Correlation 1 .127(*)

Sig. (2-tailed) .048

N 242 242

Weight Pearson Correlation .127(*) 1

Sig. (2-tailed) .048

N 242 242

* Correlation is significant at the 0.05 level (2-tailed).

There is a negligible positive correlation that exist between the number of hours of sleep of the FEU students and their weight. Therefore,

we could say that whenever their number of hours of sleep would increase, there is a very

low chance that their weight would also increase

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Model

Change Statistics

R Square Change F Change df1 df2 Sig. F Change

1 .016(a) 3.960 1 240 .048

SPSS Presentation

1.6% of the variation of the weight of the FEU students could be attributed to the

variation of their average number of hours of sleep and the remaining 98.4% is due to

chance.

a Predictors: (Constant), Number of hours of sleep

Model Summary

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SPSS PresentationTesting the significance of Pearson’s r

I. Problem Statement

Is there a significant relationship that exist between the number of hours of sleep and the weight of selected FEU students?

Hypothesis:Ho: P = 0, there is no significant relationship that exist between the number of hours of sleep and the weight of selected FEU students.

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SPSS PresentationTesting the significance of Pearson’s rII. Level of Significance

α = 0.05 (2-tailed test)df = n-2 = 242-2 = 240tvalue = 1.960

III. Test Statistic

Tcomputed =

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IV. Decision rule

tcomputed > tvalue , reject Ho and accept Ha.(-)tcomputed < (-)tvalue , reject Ho and accept Ha.Otherwise accept Ho.

SPSS PresentationTesting the significance of Pearson’s r

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V. Computation

Tcomputed =

SPSS PresentationTesting the significance of Pearson’s r

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VI. Conclusion

tcomputed > tvalue , we reject the null and say that there is significant relationship that exist between the number of hours of sleep and the weight of selected FEU students.

SPSS PresentationTesting the significance of Pearson’s r

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We, the researchers, would like to recommend to everyone concerned that we need to consider the results of this research that there is a relationship that exist between the number of hours of sleep of a person to his or her weight. This means that sleeping less could affect your weight, so we would like to recommend that everyone should at least sleep for about 8-10 hours a day. Losing weight from lack of sleep is not a good thing, if you want to lose weight, exercise, but always keep your sleep at about the average or normal sleeping time for adolescence and adults. Sleeping less could also be a cause of sleep deprivation, and as much as possible, you should try to avoid it. manage your time wisely, and have a good sleeping habit.

Recommendation

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What we have learned?It was one of the most unforgettable

experiences we ever had. It is quite a hard task were we sacrifice our time and efforts but it helps us to gain a lot of lesson. It helps us to boost up our self-confidence, show our talents to the world, and share our knowledge to the people. It molds us to be a better person- to show care to our group mates, to be responsible and to be cooperative in all the things that we should do.

It is such a wonderful activity which tests our patience, our strength, our weaknesses, our attentiveness and most of all our sense of humor. And the most valuable lesson that we learned is the relationship that was built between the members of the group throughout the conduction of survey.

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ResearchersTeam Green Lantern

Pamela Angeli SantosEdmon PinedaMiguel Angelo Ang CoJim Paolo TodasJerwyn Earl AgdeppaRonald PerezMichael Mon PunzalRoselle Ann Dela CuevaEllen SalangsangAimee AbcedeAnamae AngelesKatrice Pagsambugan

Team Adviser: Mr. Ronan Santos

ReferencesFundamentals of nursing: the art and science of nursing care. 5th ed. By Taylor, Lillis and LeMone.

Fundamentals of Nursing: Concepts, Process, and Practice. 7th ed. By Kozier, et al. p.1116

pp. 1174-1178

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Thank You……From Ronan Santos and Research Team

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The Mighty A06A20 Block

Green Lantern Team

THE END

A Statistics Course Project