Table of Contents Section 1..........................................................................................................................................3 Introduction..................................................................................................................................3 Aims and Objectives....................................................................................................................3 Literature review..........................................................................................................................3 Section 2..........................................................................................................................................4 Section 3..........................................................................................................................................5 Section 4..........................................................................................................................................5 Section 5..........................................................................................................................................8 Section 6..........................................................................................................................................9 Section 7........................................................................................................................................10 Conclusion and recommendations.............................................................................................10 CONCLUSION..............................................................................................................................11 REFERENCES................................................................................................................................1
Section 1 Introduction Statistics and data analysis can be determined as a process in which several data is being gathered or obtained through the creation of hypothesis which is being analysed for the purpose of determining appropriate findings for which the data is being collected (Latif and et.al., 2019). Present study is based on Google play which is a digital distribution service operated and developed by Google. Further this study involves a literature review. This also contains an analysis of a data for determining specific aims and objectives of doing this study. Aims and Objectives Aim:Tounderstandthesignificanceofgoogleplayapplicationsincommunicationand determining the sources of funding of the applications Objectives ï‚·To analyse the funding of free Google play apps ï‚·To assess the reason of price difference in paid apps. ï‚·To investigate the use of communication apps among international students in different countries. ï‚·To predict the rating of different Google play app in order to find out the most used app. Literature review According toFrie and et.al., (2017),Mobile phones and tablets have become essentiality for each and every human being in the society. These devices are being used by the people for spending their free time, or for performing several business activities and mostly for connection to each other in the society. In order to fulfil all these aspects, people have to use several applications which are easily available on the google play store. There are majorly free applications in the play store but there are also some paid applications for which people have to pay specific amount to use these services. It is being evaluated that around 82 % of applications in play store are free where as remaining are paid. The free applications are being developed and grown by the fund from several advertising companies who pays for their advertisement for famous and most used applications of play store.
As perMartin, Sarro and Harman (2016),the major reason for the differentiation of prices in the google play application are according to their features. These prices are being set according to their distinctive features of each specific application of google play. According toMartin (2016) , it is being observed that, most of the students that are residing outside their home countries, are being involved in usage of google play applications for the purpose of communicating with their family and friends who are residing in their nations. These social media applications have facilitated the users for communicating with their peers in a more easy and convenient manner with the use of internet connectivity around the globe. Section 2 Count - Type TypeTotal Free3718 Paid282 Grand Total4000 Free93% Paid7% Total100% Interpretation- From the above analysis it can be analysed that people are involved more in the usage of unpaid applications of google play as compared to paid applications. In he above
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graphs it is being evaluated that around 93% of people are using unpaid applications where as only 7% of people are involved in the usage of paid applications. Hence, it can be evaluated that unpaid apps are preferred more by the people in comparison with paid applications. Section 3 Interpretation- From the above figure it can be interpreted that proportion of upper is more than the hidden and lower. Section 4 TypePaid Count - App CategoryTotal TOOLS30 COMMUNICATION10 GAME29 Grand Total69 COMMUNICATION14% GAME42% TOOLS43% Total100%
Interpretation- From the above bar graph it can be interpreted that in the category of paid apps, tools related applications are being used by majority of the people in comparison with communication and game application. However, games are just 1% behind from the usage in majority from the tools segment. Communication segment is lacking behind by just achieving 14% of answerers priority. Hence, majority of people are involved in usage of paid application’s segment of games and tools. Hypothesis 1 H0: There is no significance difference in between communication and game. H1: There is a significance difference in between communication and game. t-Test: Two-Sample Assuming Equal Variances COMMUNICATIONGAME Mean0.0259559680.13365 Variance0.0768208660.982227 Observations863863 Pooled Variance0.529523891 Hypothesized Mean Difference0 Df1724 t Stat-3.074252201 P(T<=t) one-tail0.001071705 t Critical one-tail1.645737962 P(T<=t) two-tail0.00214341 t Critical two-tail1.961340962
Interpretation- The evaluation shows that by applying the t-Test, the p value resulted as 0.00 and 0.002 which is lower than 0.05 and in turn reflects that there is a significance difference present in between communication and game as the alternative hypothesis is accepted and the null hypothesis is rejected. The mean value which is being evaluated is determined as 0.025l whereas games segment of google play applications evaluated as 0.13, this helps in depicting the average value of the data set and the average value of a particular application. However, on the other state, the variance of communication and game On the other state, the variance of communication equates to 0.07 and of the 0.98 of game which depicted as the difference value. Hypothesis 2 H0: There is no significant relationship between both the variables that includes communication and tools. H1:There is a significance relationship between both the variables that includes communication and tools. t-Test: Two-Sample Assuming Equal Variances COMMUNICATIONTOOLS Mean0.0259559680.106512167 Variance0.0768208660.382518563 Observations863863 Pooled Variance0.229669715 Hypothesized Mean Difference0 Df1724 t Stat-3.491704659 P(T<=t) one-tail0.000246023 t Critical one-tail1.645737962 P(T<=t) two-tail0.000492045 t Critical two-tail1.961340962 Interpretation- This assessment assesses the mean value of communication which is 0.025 and 0.106 particularly. However, the variance was valued and resulted as 0.076 and 0.38 of both communication and tools. The p value evaluated as 0.0002 that is counted as less than 0.05 which means that alternative hypothesis is accepted and the other one is rejected. Similarly, the critical p value equated to 0.0004 is also lower than 0.05 which clearly shows that there exists a significance relationship in between the variables are regarded as communication and tools.
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Hypothesis 3 H0: There is no significant relationship between game and tools. H1: There is a significant relationship between game and tools. t-Test: Two-Sample Assuming Equal Variances GAMETOOLS Mean0.133650.106512 Variance0.9822270.382519 Observations863863 Pooled Variance0.682373 Hypothesized Mean Difference0 Df1724 t Stat0.682426 P(T<=t) one-tail0.247531 t Critical one-tail1.645738 P(T<=t) two-tail0.495061 t Critical two-tail1.961341 Interpretation- The above table shows that significance value in between game and tools computed as 0.24 which is higher than 0.05 and indicates that null hypothesis is accepted and the alternative one is rejected. This means that there presents a significance relationship in between game and tools as per the hypothesis created. Moreover, the mean value of the variable resulted as 0.13 of game and 0.10 of tools, in addition to this the variance value of game and tools ascertained as 0.98 and 0.38. Section 5 Hypothesis H0: There is no significance relationship in between rating of an app and no. of reviews. H1: There is significance relationship in between rating of an app and no. of reviews. SUMMARY OUTPUT Regression Statistics Multiple R0.081661 R Square0.006668 Adjusted R Square0.00642 Standard Error3009027 Observations4000
ANOVA dfSSMSF Significance F Regression12.43E+142.43E+1426.839552.32E-07 Residual39983.62E+169.05E+12 Total39993.64E+16 Coefficients Standard Errort StatP-valueLower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept-1474157389936-3.780510.000159-2238649-709665 - 2238649-70966 Rating478659.492392.995.180692.32E-07297517.7659801.2297517.7659801. Interpretation-Theanalysisshowsthatasthesignificancevalueofthevariable ascertained as0.000000232less than 0.05 which means that alternative hypothesis is accepted and there is a significance relationship in between both the variables that is rating of app and its reviews. The coefficient of correlation evaluated as 0.081 which shows positive but low relationship in between reviews and ratings of the app. The value of R square resulted as 0.006 which depicts that there change in one variable influences very less change in another variable. Section 6 Country Communication Application Country1 Communication Application0.0313111
Interpretation- The above graph and table reflects the relationship between country and the communication applications. The hypothesis shows that the value of correlation equated as 0.031 which clearly reflects that there exist a positive but low relationship between the country and the communication application. Section 7 Conclusion and recommendations CONCLUSION From the above analysis of statistics and data, it can be concluded that there are various aspects of google play applications which includes tools, communication and games. Further, these segments are being analysed which evaluated that all the segments are having different number of users for both paid and unpaid applications of google play applications. Lastly, the study concludes that these segments are having major variances in its uses which helps in determining the major differences of usage of various segments of google play applications. RECOMMENDATIONS By completing the above study, it can be recommended that google play can make various changes in order to increase their productivity and efficiency which can help the company in achieving its desired objectives in a more significant manner. Firstly, company is involved in offering its two types of applications which is paid and unpaid segment of applications. In order to become more effective in the same segment, company can offer its all
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range of applications as unpaid by accepting advertisements of all those companies who wishes to advertise through applications. This can increase the profits of the organization through offering a new segment of advertising. Further, in order to promote its communication segment of paid application, which is being lacking behind, company can offer a free demo to its customers which can help them in providing the value of applications to the customers by giving a chance to them for using these applications. This can increase the significance of using paid communication applications. From the present study, it can be also recommended that Google play applications are performing well in the market, which is opportunity for the organization. This opportunity can be grabbed by the company by introducing a new range of products in the digital market. This can help the company in expanding and developing its strategies for the purpose of expansion. CONCLUSION From the present study it can be concluded that in majority of cases, alternative hypothesis is being used and accepted. Whereas null hypothesis is being rejected that means among the variables where there is significance relationship. The variable relates to the Google play apps where such apps are divided into several categories that involve communication, tools and game. The analysis also provides an evaluation of correlation which depicted as positive but low among the dependent and the independent variables as the use of communication application very little depends upon the country.
REFERENCES Books and journals Frie, K. and et.al., 2017. Insights from Google Play Store user reviews for the development of weight loss apps: Mixed-method analysis.JMIR mHealth and uHealth,5(12). p.e203. Martin, W., Sarro, F. and Harman, M., 2016, November. Causal impact analysis for app releases in google play. InProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering(pp. 435-446). ACM. Martin, W., 2016, May. Causal impact for app store analysis. InProceedings of the 38th International Conference on Software Engineering Companion(pp. 659-661). ACM. Latif, R.M.A. and et.al., 2019, January. Data Scraping from Google Play Store and Visualization of its Content for Analytics. In2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)(pp. 1-8). IEEE. 1