write a summary of all the findings in the previous sections and then write concluding statements that would benefit a stake holder

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

2 TASK DESCRIPTION

There are two datasets involved in this assignment: Dataset 1 and Dataset 2, which are the same datasets used in the first assignment (Assessment 3, Excel Report). Please refer to Assessment 3 Description for the details about these datasets. All data processing and calculation should be performed in Excel or Statkey , hence you should not use a statistical table to find critical value or p-value. Specific instructions as to which computer tools should be used for each section will be given during tutorials. Your tasks are to answer the following research questions given in Section 2 to Section 6 below using dataset 1 or dataset 2 as indicated in each section. To answer each question, you will need to first present the relevant numerical summary (summary statistics) and graphical display and perform suitable statistical analysis to make inferences and to provide a conclusion.

Your tasks are described below. 1.

Section 1: Introduction Provide a brief and clear introduction about the report (e.g. the objective(s) of the report, the datasets involved, etc.).

Find 1-3 articles (minimum one article, maximum three articles) which are relevant to any of the research questions given in Section 2 – Section 6 and write a proper literature review. Your literature review should include in-text citation and you will need to add a reference list at the end of your report. 2.

Section 2: Do you believe that 99.8% of Google Play Apps (with more than 1 million installs) are free? Using Dataset 1, provide the frequency and the proportion (either as a decimal or a percentage) for each category of the variable Free. You also need to provide a graphical display that easily shows the proportion of each category.

Then, construct a 95% confidence interval of the population proportion of free app. Finally, write a comment about your findings and answer the question using the confidence interval 3.

Section 3: Is the average rating of Google Play Apps (with more than 1 million installs) less than 4.1? Using Dataset 1, describe the rating distribution of Google Play Store apps. You need to provide numerical summary (sample size, mean, standard deviation and median) as well as graphical display which shows the outliers, if any.

Then perform a suitable hypothesis test to answer the research question above at 5% level of significance.

Finally, write a comment about your findings and answer the question. 4.

Section 4: Is there a difference in the rating of Google Play Store Apps of different categories? Using Dataset 1, first filter the variable Category to include only Entertainment, Shopping, and Tools. Then provide the numerical summary of the variable rating grouped by the three different categories. You also need to provide graphical display which shows any outliers.

Then perform a suitable hypothesis test to answer the research question above at 5% level of significance.

Finally, write a comment about your findings and answer the question. 5.

Section 5: Can we predict the price of an app based on its rating? First, filter Dataset 1 to include only paid apps, then provide a graphical display to describe the relationship between the rating of the apps and their prices.

Next, perform a regression analysis and provide the regression output.

Finally, interpret the correlation coefficient, the coefficient of determination and the relevant p-values and use them to answer the research question above. 6.

Section 6: Exploration of Two Categorical Variables Using Dataset 2 that you collected in the previous assignment, describe the relationship between the two variables. You need to provide both numerical summary and a graphical display.

Then, perform a suitable hypothesis test to answer the research question that you propose in the previous assignment. Use a 5% significance level. 7.

Section 7: Conclusion Write a summary of all the findings in the previous sections and then write concluding statements that would benefit a stake holder (e.g. phone users, mobile apps developer, etc.) to take management action.

Finally, suggest further research by discussing an interesting topic or a research question that can be further explored related to the datasets and/or the findings. 

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