Introduction
In the present era, customers interest towards gym services are increased with the very high pace. Moreover, now customers give more priority to hygiene aspect and well-maintained body aspects. Along with this, now gym related activities become the part of living standard of people. In this regard, trend towards such activities are growing with the very high pace. Hence, the present report will shed light on survey that is conducted by scholar on the customers of gym. Thus, it will provide understanding about the extent to which customers of gym approve the change. Hence, by considering such aspects gym operates can take significant improvement for future.
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Reviewing Academic Sources
Analyzing secondary data sources for the preparation of brief thesis
According to the views of White and et.al., (2016) membership spending of people in relation to gym increased by 44%. This aspect shows that positive growth has taken place in the Fitness Industry. By doing investigation, author presented that 13.7% of UK population now registered as members. This aspect shows that awareness of people towards the health aspects are increased with a higher rate. However, on the critical note, Richardson, Smith and Papathomas (2017) said that growth rate of fitness sector is not very high. Moreover, due to the busy schedule people do not have time for workout and exercise activities. Hence, it is one of the main aspects which have high level of impact on the decision making aspect of customers.
In addition to this, Cranney and et.al., (2016) found in their study that now people prefer to go to the gym which provides them with unique and high-tech equipments. With the rise in technological advancement now there are several machines which available to people which in turn help them in making their body fit and fine. Further, Hamilton, Tipton and Witard (2016) stated that by providing proper guidance to people gym trainer can attract people towards change more effectively and efficiently.
Conducting Bivariate analysis and testing of hypothesis
Hypothesis 1
H0: There is no significant difference between the mean value of BMI and reason for going gym.
H1: There is a significant difference between the mean value of BMI and reason for going gym.
Regression
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Notes |
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Output Created |
25-JAN-2017 16:04:46 |
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Comments |
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Input |
Data |
D:\Tapan\A32525 Computing analysis\A32564 Input.sav |
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Active Dataset |
DataSet1 |
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Filter |
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Weight |
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Split File |
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N of Rows in Working Data File |
20000 |
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Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
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Cases Used |
Statistics are based on cases with no missing values for any variable used. |
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Syntax |
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Q6Reasonforgoingtothegym /METHOD=ENTER BMI. |
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Resources |
Processor Time |
00:00:00.02 |
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Elapsed Time |
00:00:00.02 |
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Memory Required |
1700 bytes |
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Additional Memory Required for Residual Plots |
0 bytes |
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Variables Entered/Removeda |
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Model |
Variables Entered |
Variables Removed |
Method |
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1 |
BMIb |
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Enter |
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a. Dependent Variable: Q6: Reason for going to the gym |
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b. All requested variables entered. |
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Model Summary |
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Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
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1 |
.089a |
.008 |
.008 |
.943 |
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a. Predictors: (Constant), BMI |
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ANOVAa |
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Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
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1 |
Regression |
141.783 |
1 |
141.783 |
159.401 |
.000b |
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Residual |
17787.699 |
19998 |
.889 |
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Total |
17929.482 |
19999 |
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a. Dependent Variable: Q6: Reason for going to the gym |
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b. Predictors: (Constant), BMI |
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Coefficientsa |
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Model |
Un-standardized Coefficients |
Standardized Coefficients |
t |
Sig. |
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B |
Std. Error |
Beta |
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1 |
(Constant) |
2.600 |
.057 |
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45.645 |
.000 |
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BMI |
-.027 |
.002 |
-.089 |
-12.625 |
.000 |
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a. Dependent Variable: Q6: Reason for going to the gym |
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The above mentioned table shows that r and r square of two variables are 0.09 and 0.01 respectively. This aspect shows that low level of relationship takes place in the variables such as BMI and reasons of individual behind going gym. Further, level of significance is 0.00 which shows that alternative hypothesis is accepted. By considering such aspect it can be said that significant difference takes place in the mean value of both variables (Duricki, Soleman and Moon, 2016). Thus, BMI does not have high level of impact on gym related decision of customers. From secondary data analysis it has been identified that people who do regular gym activities have information about BMI. On the other side, looking fit and fine is one of the main factors which entice the decision making aspect of customers in relation to gym.
Hypothesis 2
H0: There is no significant difference between the mean value of exercise done outside gym in relation to the different countries such as Germany & America.
H1: There is no significant difference between the mean value of exercise done outside gym in relation to the different countries such as Germany & America.
T-Test
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Notes |
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Output Created |
25-JAN-2017 16:02:32 |
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Comments |
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Input |
Data |
D:\Tapan\A32525 Computing analysis\A32564 Input.sav |
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Active Dataset |
DataSet1 |
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Filter |
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Weight |
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Split File |
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N of Rows in Working Data File |
20000 |
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Missing Value Handling |
Definition of Missing |
User defined missing values are treated as missing. |
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Cases Used |
Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis. |
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Syntax |
T-TEST GROUPS=Q4country(1 2) /MISSING=ANALYSIS /VARIABLES=Q10Doyoudoregularexerciseoutsideofthegym /CRITERIA=CI(.95). |
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Resources |
Processor Time |
00:00:00.03 |
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Elapsed Time |
00:00:00.07 |
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Group Statistics |
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Q4:country |
N |
Mean |
Std. Deviation |
Std. Error Mean |
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Q10:Do you do regular exercise outside of the gym |
Germany |
9938 |
1.50 |
.500 |
.005 |
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America |
10062 |
1.50 |
.500 |
.005 |
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Independent Samples Test |
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Levene's Test for Equality of Variances |
t-test for Equality of Means |
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F |
Sig. |
t |
df |
Sig. (2-tailed) |
Mean Difference |
Std. Error Difference |
95% Confidence Interval of the Difference |
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Lower |
Upper |
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Q10:Do you do regular exercise outside of the gym |
Equal variances assumed |
.252 |
.616 |
-.264 |
19998 |
.792 |
-.002 |
.007 |
-.016 |
.012 |
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Equal variances not assumed |
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-.264 |
19994.914 |
.792 |
-.002 |
.007 |
-.016 |
.012 |
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By applying the tool of it has been identified that people of both America and Germany do exercise outside Gym. This aspect shows that people of America and Germany are highly health conscious in nature and gives more preference to exercising activities. Further, standard deviation of both the variables is .50 which entails that from such figure mean value of firm will be affected in near future.
Managerial Advice
Proposing a change to gym
By doing investigation it has been assessed that BMI index is not only the measure which influences the gym decision of customers. Moreover, there are several people whose weight is higher as compared to height. Still, they do not prefer to go gym which in turn places negative impact on their health and lives. Hence, body mass index is not only the factors that encourage people to join gym. Thus, owner of gym needs to develop awareness among people regarding the negative impact of more weight on their body (George and Mallery, 2016). Further, both Americana and German people place high emphasis on doing exercise along with gym. In this, by providing people with highly advanced exercise machines and gym equipments firm can maintain both interest and satisfaction level of customers.
Analyzing survey data in relation to the proposed change
On the basis of cited case situation, pivot table has been created by scholar with the aim to assess 50% people who support proposed change. Hence, Pivot table is highly advanced feature and version of Excel which assists in extracting highly useful information from large data set (Cronk, 2016). Thus, by keeping such factor in mind pivot table tool has been employed by scholar to determine number of people who give support to the proposed change .
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Row Labels |
Count of student number |
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No |
20000 |
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Yes |
180000 |
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Grand Total |
200000 |
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No |
Yes |
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Mean |
100 |
900 |
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Standard Error |
0.626428017 |
0.626428017 |
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Median |
99 |
901 |
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Mode |
99 |
901 |
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Standard Deviation |
8.859029973 |
8.859029973 |
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Sample Variance |
78.48241206 |
78.48241206 |
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Kurtosis |
-0.424453878 |
-0.424453878 |
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Skewness |
0.195755882 |
-0.195755882 |
From statistical analysis, it has been found that, out of 200,000 respondents, 180000 people are ready to support and accept change. On the basis of this aspect, it can be stated that any kind of change which takes place in gym will not affect the level of customer satisfaction and loyalty. The above mentioned descriptive statistics show that mean value is 100 and 900 respectively. Further, standard deviations of both the variables are same such as 8.85. It shows that in the near future mean value of both yes and no variable will deviate similarly. In accordance with such aspects owner of gym can propose significant changes to maximize both productivity and profitability.
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Conclusion
From the above report, it has been concluded that with the rise in disposable income customer spending on gym also increased significantly. Besides this, it can be inferred that now membership of people in fitness centre is enhanced in recent times as compared to past years. Further, it has been articulated that American and German people have positive attitude towards gym activities. It can be revealed from report that 180000 said in survey that they will accept and support change to a great that is made by owner. It is a positive indicator which in turn helps gym owner in introducing change more effectively and efficiently.
References
- Cranney, L. and et.al., 2016. Impact of an outdoor gym on park users’ physical activity: A natural experiment. Health & place.
- Cronk, B. C., 2016. How to use SPSS®: A step-by-step guide to analysis and interpretation. Routledge.
- Duricki, D. A., Soleman, S. and Moon, L. D., 2016. Analysis of longitudinal data from animals with missing values using SPSS. nature protocols.
- George, D. and Mallery, P., 2016. IBM SPSS Statistics 23 step by step: A simple guide and reference. Routledge.
- Hamilton, D. L., Tipton, K. and Witard, O., 2016. Gym workout advice: protein guidance looks wrong, our findings suggest. The Conversation.
- Iyengar, P. and Scherer, P.E., 2016. Obesity: Slim without the gym [mdash] the magic of chilling out. Nature Reviews Endocrinology
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