Use of SPSS in Research

8/7/2019 Use of SPSS in Research

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SUPE R

IOR

U

NIV

ERS

IT Y

INTERPRETATION

Of

SPSS

MBA Professional (Evening)

Session 2007-09

KHALID AZEEM 8257


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Research Question

What are the factors affecting the daily activities of peoples

belong to different regions?

Daily activities include:

NOT lift or carry things very often

LIFT or carry LIGHT loads

LIFT or carry MODERATE loads

LIFT or carry HEAVY loads

Unable to lift or carry loads

Others

Refused

Variable Used:

Sex

Age

Regions

Use of multi vitamins

Desirable body weight

Smoking

Number of Causes:

The causes used for assignment are 32,374.

Source of Data:The data for assignment is taken the from sample file of

SPSS (Version 16) named nhis2000_subset.sav


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All variable that I have taken in project have direct & effective

relationship with each other.

The first variable SEX relates with daily activities. The Male &

Females can have Different working capacities. The Male has strong

structure and Muscles then Females. In this way we can say that Male

can do more work then Females.

The Age of people can also affect their daily activities of lifting and

caring loads. It is clear that Babies and too Old person cant not do

such type of activities.

The people living in different region can have different daily

activities. Let The Region A in which maximum peoples are Rich or

Having Executive class Job. In The Region B where, the Lower class

is in Majority. The Daily activities of Lifting or Caring will be

different in these two Regions.

The use of Multi Vitamins can also affect the daily activities. LikeBody Builders and Pregnant Women both are taking multivitamins,

but both have entirely different work activities.

The body weight also effect daily activities. The Fat person carries

less or light weight then slim or fit Persons. On other hand a person

with less weight is also disabling for such activities.

The Smoking has direct impact on lifting loads. As all of us know that

the Smoke of Cigarette effect berating & Respiration. The Smokers

can not do hard activities for long interval. They have to take little rest

for it.


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SCOPE

This survey report can have implementation on all type of communities. But

the working Class is strongly highlighted. The purpose of survey is to

Determine the health of peoples

To Evaluate Daily Activities

To understand why people are not doing healthy activities.

To understand the causes of Obesity in a community.

To determine the Actual number of Smokers.

It can creates an easy-to-use environment for business users

IMPORTANCE

The survey results have much importance in following fields.

Through this survey we can study the characteristics of population in

certain area. It is necessary when we are going to launch a product in a

region. Such Study is known as DEMOGRAPY.

The labor supplier Company can understand which regions people are

more Lazy. So in this way.

A Tobacco Company can determine the amount of Smokers. In this

way they can have better market.

We can also choose from an array of solutions for data analysis.

This survey is can help in Product Innovation (To Launch a productwhich is not available in Market)


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OBJECTIVES OF STUDY

The Core objectives that I have by learning this subject are following

How to conduct any type research question. To find results accurate and fast.

To find mean, standard deviation etc by using this software.

Another objective is to find out relationship between different

variable, weather it is positive or negative or (no relation) between

variables.

To apply different type of test like, test hypothesis, t test etc.

To have out written output

The topic I have selected is mostly ignored. People are bussy in

modern life and forget to have healthy activities.

The Data I have for analysis consist ofFour Ordinalvariables, and twoNominalVariables.

Statistics

Daily activities,lifting or carrying

N Valid 31029

Missing 1345

31029 people have responded while 1345 missed the values.


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Daily activities, lifting or carrying

Frequency Percent Valid Percent

Cumulative

Percent

Valid NOT lift or carry things veryoften

8725 27.0 28.1 28.1

LIFT or carry LIGHT loads 10642 32.9 34.3 62.4

LIFT or carry MODERATE

loads8307 25.7 26.8 89.2

LIFT or carry HEAVY loads 2682 8.3 8.6 97.8

Unable to lift or carry loads 673 2.1 2.2 100.0

Total 31029 95.8 100.0

Missing Other 44 .1

Refused 28 .1

Not ascertained 1152 3.6

Don't Know 121 .4

Total 1345 4.2

Total 32374 100.0

The table shoes that

There are 28.1% peoples NOT lift or carry things very often, 34.3%

peoples LIFT or carry LIGHT loads, 26.8% peoples LIFT or carry

MODERATE loads, and 8.6% peoples LIFT or carry HEAVY loads

2.2% peoples Unable to lift or carry loads

Sex

The sex category falls in MALE & FEMALE.

Sex


Cumulative

Percent

Valid Male 13986 43.2 43.2 43.2

Female 18388 56.8 56.8 100.0

Total 32374 100.0 100.0

The table shows that there are 43.2% Male & 56.8% Females.

Comment = the females are in large number then Males.


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Age

The age of people is denoted in following range.

Age category


Cumulative

Percent

Valid 18-24 3484 10.8 10.8 10.8

25-44 13173 40.7 40.7 51.5

45-64 9537 29.5 29.5 80.9

65+ 6180 19.1 19.1 100.0

Total 32374 100.0 100.0

The table shows age of peoples that are 10.8% people of 18-24 years,

40.7% people of 25-44 years, 29.5% people of 45-64 years, 19.1% people

of 65+ years.

Comment = the max people belongs to the age limit of 25-44

years.Regions


Cumulative

Percent

Valid Northeast 6063 18.7 18.7 18.7

Midwest 7478 23.1 23.1 41.8

South 11624 35.9 35.9 77.7

West 7209 22.3 22.3 100.0

Total 32374 100.0 100.0

18.7% people belong to Northeast region, 23.1% are of Midwest Region,35.9% are of South Region and 22.3% belongs to West Region.

Comment = the max people belongs to the west region.


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Use of multi vitamins

Take any multi-vitamins in past 12 m


Cumulative

Percent

Valid Yes 13400 41.4 81.5 81.5

No 3049 9.4 18.5 100.0

Total 16449 50.8 100.0

Missing Don't Know 9 .0

System 15916 49.2

Total 15925 49.2

Total 32374 100.0

The frequency table shows that 81.5% people uses Multi vitamins, while18.5% peoples dont take multi vitamins.

Smoking Frequency


Cumulative

Percent

Valid Every day 5999 18.5 41.6 41.6

Some days 1422 4.4 9.9 51.5

Not at all 6995 21.6 48.5 100.0

Total 14416 44.5 100.0

Missing Refused 16 .0

Not ascertained 3 .0

Don't know 5 .0

System 17934 55.4

Total 17958 55.5

Total 32374 100.0

The table shows that 41.6% people smoke every day, 9.9% people

smokes once or some day and 48.5% peoples dont smoke.


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Sex

N Minimum Maximum Mean Std. Deviation

Sex 32374 1 2 1.57 .495

Valid N (list wise) 32374

The table shows the minimum value of 1 and maximum value of 2. The

values can be deviated by 0.495. Which means that the mean value can

varied by +0.495 and -0.495

Age


Age category 32374 1 4 2.57 .918




varied by +0.918 and -0.918.

Region


Region 32374 1 4 2.62 1.028





Use of vitamins


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Descriptive Statistics


Take any multi-vitamins in

past 12 m16449 1 2 1.19 .389







Weight - Final Annual 32374 741 63736 6230.25 3742.679


The table shows the minimum value of 741 and maximum value of 63736.

The values can be deviated by 1.028. Which means that the mean value can

varied by +3742.679 and -3742.67

Smoking frequency


Smoking frequency 14416 1 3 2.07 .947


The table shows the minimum value of 1 and maximum value of 3. Thevalues can be deviated by 0.947. Which means that the mean value can



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Sex

The Bar chart shows that there are almost 18,000

females and 14000 are male.

AGE CATAGORIES

The bar chart shows that 12500 people belong to 25-

44 years, 9500 belong to 45-54 years, about 6000

are of 65+ & 3500 mare of 18-24.

REGION


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The bar chart shows that there are 7500 peoples

having 30% over weight, 5900 peoples having 10-

19.9% over weight, 4000 peoples having 20-29.9%

over weight, 3800 peoples having 10% over weight,

while 2000 peoples having 5-9% over weight

SMOKING FREQUENCY

The Bar chart shows that 6000 peoples smoke every

day, while about 7000 dont smoke.1500 people

smoke some day.


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The graph clearly shows that Male lift Moderate

loads, while Female lift or carry light Loads.

The table shows that 18-64 year people lift light

loads, while 65+ people not lift loads


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The cross tabulation charts b/w Regions and Daily activities shows that.

There are max (3353) peoples in South, (1874) peoples in west, (1853)

peoples in Midwest and (1645) peoples in North West which not lift

or carry loads.

There are max (3764) peoples in South which lift or carry loads.

The people of south lift heavy loads.

The 304 people of south cannot lift heavy loads.

Count

Take any multi-vitamins in past

12 m

TotalYes No

Daily activities, lifting or

carrying

NOT lift or carry things very

often3730 865 4595

LIFT or carry LIGHT loads 4810 1043 5853


loads3531 828 4359

LIFT or carry HEAVY loads 988 213 1201

Unable to lift or carry loads 260 82 342

Total 13319 3031 16350

Daily activities, lifting or carrying * Region Cross tabulation

Count

Region

TotalNortheast Midwest South West


carrying


often1645 1853 3353 1874 8725

LIFT or carry LIGHT loads 1969 2539 3764 2370 10642


loads1575 2020 2844 1868 8307

LIFT or carry HEAVY loads 464 655 935 628 2682

Unable to lift or carry loads 114 129 304 126 673

Total 5767 7196 11200 6866 31029


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The peoples which take multivitamins regularly they lift light loads. The

people which take multi vitamins and unable to lift the load are larger in

numbers then those who dont take multi vitamins.

The table clearly shows that 2147 fat people not lift weight, while 782

people of much smart also dont lift weights. There are 208 fat peoples

which cannot lift the loads, on other hand only 76 smart peoples are

disabling to carry loads.

Daily activities, lifting or carrying * Desirable Body Weight Cross tabulation

Count

Desirable Body Weight

Total

10% or

more below

desirable

weight

5-9% below

desirable

weight

4.9% (+/-)

of desirable

body weight

5-9.9%

above

desirable

body weight

10-19.9%

above

desirable

body weight

20-29.9 %

above

desirable

body weight

30% +

above

desirable

body weight

Daily

activities,

lifting or

carrying

NOT lift or carry

things very often782 545 1439 811 1386 1127 2147 8237

LIFT or carry

LIGHT loads901 673 1850 1035 1868 1457 2333 10117

LIFT or carry

MODERATE loads624 511 1434 911 1477 1154 1816 7927

LIFT or carry

HEAVY loads150 135 436 313 486 400 626 2546

Unable to lift or

carry loads76 46 97 54 96 66 208 643

Total 2533 1910 5256 3124 5313 4204 7130 29470


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Daily activities, lifting or carrying * Smoking frequency Cross tabulation

Count

Smoking frequency

TotalEvery day Some days Not at all


carrying


often1341 350 2050 3741

LIFT or carry LIGHT loads 1806 426 2316 4548


loads1768 407 1755 3930

LIFT or carry HEAVY loads 747 156 474 1377

Unable to lift or carry loads 140 32 193 365

Total 5802 1371 6788 13961

The cross tabulation chart shows that the peoples smoke every day lift

heavy loads, and people who dont smoke are also in majority of disable

to carry loads.


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o I have conduct following results from this survey report

o The Female are in majority in these regions.

o The females mostly lift or carry light load, while Male can liftHeavy Loads. This factor prove the strong body structure of Male

o The people belonging to 18-64 have Maximum contribution in

daily activities, while 65+ are mostly disable to do so. This factor

indicates that the health of 65+ people is not better.

o When we talk about relation of region, it is surprising that

maximum Energetic and Disable people live in West region. There

are minimum Disable people in North Region. There are minimum

people in North which dont lift loads. So the North region is

almost healthy region.

o The people which take multivitamins lift light, moderate and heavy

loads as compared to those who dont take multivitamins. It is clear

that people who dont take multivitamins are less disable. It means

the Synthetic multivitamins have negative effect in old age.

o When we talk about body weight, we come to know that the over

weight people dont lift heavy loads, they mostly lift heavy loads,and there over weight turn them to disable.

o The smoking frequency results are amazing, the person who smoke

daily lift heavy loads then those who dont smoke. It shows that in

this region there are more poor people, who do labor type activities

and enjoy smoking.

Use of SPSS in Research

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