Explain how you collect the data and discuss its limitation

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Reference no: EM132363595 , Length: word count:2300

Excel Report

1 OVERVIEW OF THE ASSIGNMENT

This assignment will test your skill to collect, summarise and present data using Microsoft Excel and/or other approved tools. It will also test your understanding to interpret the output produced by the software to solve business problems.

You will need to use the dataset provided as well as collecting your own dataset and produce a numerical and graphical summary. You will need submit an Excel file following the requirement as explained below.

2 TASK DESCRIPTION

There are two datasets involved in this assignment: Dataset 1 and Dataset 2, detailed below.

Dataset 1: You will receive an email that contains a dataset that is specifically allocated to you. This dataset is edited from Google Play Store Apps dataset provided by Lavanya Gupta that can be obtained from Kaggle under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license. The number of cases from the original dataset has been reduced and all NaN values have been removed.

Dataset 2: You will need to collect a dataset via survey to answer the question given in Section 6 below. You will need to collect data from international students, between 3 - 4 different country of origin with at least 5 students per country.

Your tasks are to provide a description for each dataset in Section 1, and to answer the following research questions given in Section 2 to Section 6 using dataset 1 or dataset 2 as indicated in each section.

1. Section 1: Description about Data

a. Dataset 1: Give a short but clear description about this dataset. Is this primary or secondary data? What are the cases? What are the variables and their types?

b. Dataset 2: Explain how you collect the data and discuss its limitation (e.g. whether your sample is biased). Is this primary or secondary data? What are the variables and their types?

2. Section 2: Are most google play apps free?
Using Dataset 1, describe the proportion of phone apps which are free. You need to provide both numerical summary as well as graphical display that easily shows the proportion of the free apps.

3. Section 3: What is the price distribution of paid apps after an iteration of outlier removal?
Using Dataset 1, perform one iteration of outlier detection on the price of paid apps using the method described in the lecture notes. After removing those outliers, describe the price distribution of paid apps using both numerical and graphical summary which shows the remaining outliers, if any.

4. Section 4: Is there a difference in prices among paid apps from the categories Communication, Games, and Tools?
Using Dataset 1, describe the distribution of paid apps from the categories Communication, Games and Tools. You need to provide both numerical summary as well as graphical display which shows the outliers, if any.

5. Section 5: Is there any relationship between Rating and Review?
Using Dataset 1, describe the relationship between the rating of an app and the number of reviews it receives. You need to provide both numerical summary as well as graphical display.

6. Section 6: Do international students from different countries tend to use different communication apps?

Using Dataset 2, describe the relationship between a student's country of origin and the main communication app the student is using (e.g. WhatsApp, Fb Messenger, WeChat, LINE, Viber, etc). You need to provide both numerical summary and graphical display.

Attachment:- Statistics and Data Analysis.rar

Reference no: EM132363595

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Reviews

len2363595

8/30/2019 11:16:36 PM

Criteria Description of data collection methods Value 20% Mark awarded High Distinction (85-100%) Excellent discussion about data collection which shows outstanding knowledge of different approaches for collecting data and clearly evaluates the limitation of data collection method chosen. Numerical summaries Value 20% Mark awarded Not a single error in the numerical summaries Graphical summaries Value 20% Mark awarded Accurate, complete and relevant graphs are presented with no error Competency in using EXCEL software Value 20% Mark awarded Outstanding use of Microsoft Excel in presenting numerical summary and graphical displays. Statistical Report Interpretation Value 20% Mark awarded Outstanding knowledge in Statistical theory and excellent understanding of how to use it to interpret statistical results

len2363595

8/30/2019 11:15:16 PM

Section Criteria based on rubric Mark % Item to be marked (max 4) Section 1a (Dataset 1 Explanatory) Description of data collection methods for Dataset 1 10 Clear description Source Primary/secondary Types of variables Section 1b (Dataset 2 Explanatory) Description of data collection methods for Dataset 2 10 Clear description Limitation Primary/secondary Types of variables Section 2 (Type: Free vs Paid) 1 categoricalNumerical 2 Correct proportion for Free Correct proportion for Paid Graphical 4 Presenting pie chart Correct graph based on data Title is appropriate Label/legend is informative Interpretation 4 Logically answer the question (e.g. yes, proportion and pie chart shows that most are free) Section 3 (Price) 1 quantitative Numerical 8 Correct sample size Correct IQR (or Q1 or Q3) Correct Lower (or Upper limit) Correct new n (or new Mean or Median) Graphical 4 Presenting boxplot Correct graph based on data Title is appropriate Axis label is informative

len2363595

8/30/2019 11:14:50 PM

SUBMISSION REQUIREMENT Deadline to submit the report: Week 7, You need to submit an Excel file to Turnitin which consists of: 1. Dataset 1 and Dataset 2, each in separate worksheet, with appropriate sheet name 2. Numerical & graphical summary for each section, each section should be answered in separate worksheet with appropriate sheet name (e.g. “Section 1”, “Section 2”, etc) Arrange the worksheets starting with Dataset 1, Dataset 2, Section 1, Section 2, etc. MARKING CRITERIA Students are advised to read the marking rubric provided on Moodle. Detailed marking criteria based on this rubric will be provided during tutorial week 6.

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