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8/12/2019 QTMD_Report_Ashish Minal Shrizana Oshin
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:
1. Introduction
Healthy body contributes to healthy mind, healthy life and happiness. Reaching and maintaining
a healthy weight in ones life is very essential. Staying at a healthy weight no doubt makes one
look good but also results in increased energy and an improved sense of well-being. It also
decreases the risk of having medical problems such as heart-disease, diabetes etc. The key to
maintain a healthy weight is not just about a diet it about a proper change in lifestyle which
includes healthy eating, regular exercise or any kind of physical activities, and balancing the
number of calories you consumes with what your body uses.
A general guide for determining healthy weight is the body mass index or BMI. It is a ratio of
height to weight. It indicates if a person is overweight/underweight/normal. The normality
depends upon the age of a person, its different for adolescents and children. However, it has
limitations and can wrongly suggest the ratio in some cases. For example a gym trainer might be
in great shape but may have BMI exceeding whats recommended. This is due to the muscle
weight. Likewise, a person eating very healthy food and is extremely active may have high BMI
yet low body fat. A research published in a journal Obesity suggests that people with higher than
normal BMIs may live longer than their lower-weight counterparts. Therefore, instead of solely
focusing on a number on the BMI scale, one should focus on eating the right foods in the right
amount and getting sufficient exercise then the body will find the appropriate weight required.
In this study, we looked to answer the following questions:
Q1 What is the average weight of MBA students in Nepal?
Q2 Does the BMI have any relationship with the gender of MBA students?
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2. Rationale of the Study
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National Institute of Healths NHLBI says:
Body mass index is defined as the individual's body mass divided by the square of their
height. The formulae universally used in medicine produce a unit of measure of kg/m2.
BMI can also be determined using a BMI chart, which displays BMI as a function of
weight (horizontal axis) and height (vertical axis) using contour lines for different values
of BMI or colors for different BMI categories.
Physical activity, exercise and physical fitness are the terms that describe different
concepts. Physical activity is defined as any bodily movement produced by skeletal muscles that
results in energy expenditure. The energy expenditure can be measured in kilocalories. Physical
activity in daily life can be categorized into occupational, sports, conditioning, household, or
other activities. Exercise is a subset of physical activity that is planned, structured, and repetitive
and has a final or an intermediate objective the improvement or maintenance of physical fitness.
Physical fitness is a set of attributes that are either health- or skill related. The degree to which
people have these attributes can be measured with specific tests. Caspersen, C. J et.al. (1985)
No matter how much we try to make it fun, and no matter what the experts tell us about how
great we will feel, when we first start regular exercise, we will probably dislike it. Weil (2013)
College students face the academic workload of midterms and finals and there is relatively
constant underlying pressure to complete an upcoming assignment. College students behavior
like staying up all night to study for an exam may be stressful and can lead to less healthy
practices. When the body is in stress, the body release hormones called Cortisol. Too much
cortisol can cause a person to gain weight even when maintaining a normal diet plan. It is
because too much cortisol can slow the metabolism causing more weight gain. Pearlin (1989)
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5. Research
5.1 Research Model
5.2 Hypothesis
The hypothesis formulated after the literature review are as follows.
H1: The average weight (in kgs) of MBA students is more than 55.
H2: Being under-weight, normal weight, or over-weight is independent of a MBA students
gender.
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H3: The mean heights of MBA students who had constant weight, weight increase, and
weight decrease are significantly similar.
The testing of hypothesis is confined to the primary data collected from the respondents of
KUSOM MBA/FALL 2012.
6. Methodology
6.1 Sample
We took sample population of 28 students. The students of KUSOM MBA/FALL 2012 were
taken as the population for the study. Out of 28 students, 14(50 percent) were females and 14 (50
percent) were males.
6.2 Instrumentation
The instrument contained sub-parts. The first sub-part contained the KUSOM Roll Number. The
second part was the gender of the respondent. The third and fourth part asked for the height and
weight of the respondent respectively. The fifth part asked the respondent if their weight has
increased, decreased or remained constant after joining the MBA course. The sixth part provided
an option to select a food item for dinner on a day he/she were very hungry. And the last part
asked if the respondent exercise to remain fit.
6.3 Procedure
The questionnaires were sent through online method. The respondents of the survey were the
KUSOM MBA/FALL 2012 students . Total of 7 questionnaires were compiled and sent for the
response. 28 out of 34 students responded and answered the questionnaires. The data were
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collected in the time frame of three days and the data analysis was done with the help of Chi-
Square Method, z-test and Analysis of Variance (ANOVA).
6.4 Bias
The research includes only one major MBA institutions in Nepal. However, it excludes some
other MBA institutions, which might have some impact in the findings of the research. Based on
our judgment, we decided that the exclusion of those other institutions will not have any
significant influence in our conclusion.
7. Results and Discussion
7.1 The average weight (in kgs) of MBA students is more than 55.
To conclude that the average weight of MBA students is more than 55, we first set null
hypothesis, H 0: 55 and alternative hypothesis, H 1>55. For this we take the sample size of 28,
which is equal to the number of respondents of the survey. Since we are try to prove H 1>55, it is
a one tailed test.
Weight (kg): 65, 83, 65, 60, 57, 70, 52, 48, 75, 65, 50, 68, 50, 71, 45, 50, 70, 74, 70, 45, 44,
76, 52, 55, 76, 74, 45, 75
To test a hypothesis, we first calculate mean, which is 61.8 and then standard deviation of the
given data, which is 12.004. Next, we find standard error of the mean. We get this by dividing
standard deviation by the square root of sample size. After calculating standard error of the mean
i.e., 2.26, we calculate the t value by subtracting hypothesis mean (55) by mean (6.8) and then
dividing by the standard error. So, our observed t value is 3.008.
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We test the hypothesis at 0.05 significance level ( ! = 0.05). Our degree of freedom is 27 (n-1=28-
1). Since our sample size is less than 30, we look at t table corresponding to the value of ! = 0.05
with 27 degrees of freedom. So, our t value is 1.703
Since our observed t value 3.008>1.703, we reject the null hypothesis. And conclude that the
average weight of MBA students is more than 55 kgs.
7.2 Being under-weight, normal weight, or over-weight is independent of a MBAstudents gender.
For our second hypothesis testing, we take the following sample of 14 Male MBA students and
14 Female MBA students from Kathmandu University School of Management (KUSOM). We
are testing whether being under-weight, normal weight, or over-weight is independent of a MBA
students gender.
Here is the basis for our categorization of weights through calculated BMIs of MBA students.
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Following was our sample after we categorized the respondents BMI.
+"4$ 5$2"4$ 6"47.8$'9:$;%&'2"4 ?$;%
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Our null hypothesis that we hope to reject is: being under-weight, normal weight, or over-weight
is dependent on a MBA students gender. We have taken confidence level of 95% ( ! =0.05 ) to
test our hypothesis. In this case, our Degree of Freedom is 2. When we lookup for the
corresponding value in Chi-square distribution table, we get the value of 5.992. In order to reject
our null hypothesis, we need to find a Chi-square value which is greater than 5.992.
Now, we find out the expected frequency for each of the observed frequencies, and subtract them
from the corresponding observed frequencies. This value is squared and then divided over the
corresponding expected frequency to get another value. This value for every observed frequency
is summed up to give us the final Chi-square value of 6.18.
" 2 = 6.18 > 5.992
We reject the null hypothesis.
Hence, we came to the conclusion that being under-weight, normal weight, or over-weight is
independent of a MBA students gender.
7.3 The mean heights of MBA students who had constant weight, weight increase, andweight decrease are significantly similar.
In this hypothesis, we have data of height from respondents who had constant weight, weight
increase and weight decrease.
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G$;%
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Now we find degrees of freedom. Degrees of freedom for numerator is 2 (number of samples-1)
and for denominator it is 25 (total sample size number of sample). Suppose we are testing a
hypothesis at the 0.05 significance level, using the f distribution, we look at the table, for 2 and
25 degrees of freedom, which is 3.3852. Since the calculated sample value F is less than the table
value of 3.3852, we fail to reject the null hypothesis and conclude that the mean height of MBA
students who had constant weight, weight increase and weight decrease are significantly similar.
8. Conclusion
The results of this research clearly indicate that overwhelming majority of MBA students in
Nepal are above 55 kg in weight. Furthermore, whether a student is male or female does not
bring about any significant influence on them being underweight, overweight, or normal weight.
Those who lose weight after joining MBA had statistically similar heights compared to those
who gain weight and those whose weight remained constant.
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9;
Annexure
Survey
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Q"#" H'&2 JK'C$(
What isyour
KUSOMroll
number? Gender
Whatis yourheight
?(appro
x.)
What isyour
weight?(approx.)
(Please behonest!!!)
Do you feelthat there has
been anychange in
your weightsince you
joinedKUSOMMBA?
If you had tochoose one of
the following toeat for dinneron a day you
are veryhungry, which
would youchoose?
Do youexercise
to remainfit?
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9:9UO _+/'7+N A++2 ;4*@= NU
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9:99Q &'7+N A++2 S4*@= OQ
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9:9:M _+/'7+N A++2 :4*@= NU
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9:99; _+/'7+N A++2 M4*@= P9
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B+40=2 ='(#+@?+'(+#D
^?$ -H3K=K=='.["24 5" IE+?B+40=2
:N _+/'7+N A++2 :4*@= MN
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9:9:; _+/'7+N A++2 94*@= MN
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9:9UN _+/'7+N A++2 94*@= MN
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9:9:U &'7+N A++2 M4*@= PN
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) B'*2 2"D!32 2=4(&!1 4( 2""/3@= 24/+@"*(3/4*0]]] IE+?B+40=2