Explain and evaluate the various types and sources of data.

Can this paper be improved with charts and graphs take consideration the tutor feedback belowThe feedback on your presentation is below according to the assessment criteria:Knowledge and understanding: Your presentation shows knowledge of the subject area, and aspects of data quality. However more analysis of the data using different approaches would have shown your understanding to a greater extent. I would also have liked to see more about the quality of the data itself rather than the general content on data quality – this discussion needed to be applied to the data. You also needed to introduce the dataset – you never actually say what the subject is and what is included in the data, which makes it difficult to understand the presentation.Data analysis: You have carried out some appropriate analysis of the data. However this is quite limited – it is not until slide 8 that you begin to analyse the data. I would have liked to see discussion in the presentation of the questions which could be asked of the data and the rationale for the particular analyses you have carried out. You have not included any charts – these are key in any presentation of a statistical analysis as these are an important way of communicating the results of the analysis. For example it is very difficult for someone watching the presentation to understand a frequency distribution by looking at the table – a graph communicates much more than words.Presentation and communication: Your slides are generally clear, although you needed to make use of diagrams and charts to give the messages more impact. Some of your slides are used to explain what the data says – this does not always need to be on a slide, especially a separate one, as that is what your commentary should be doing. You are often reading your slides – it is better to put key points on the slide and use the audio commentary to expand on the slide, rather than the other way around. If you find that you are reading slides that may be an indication that there are too many words on the slide. Finally as the audience is non-statisticians it would have been helpful in particular to explain technical terms more – such as kurtosis. Explaining in non-technical terms also helps you to demonstrate your understanding.Criticality: You have shown some ability in this area in the discussion of the analysis. However much of the content of data quality is descriptive – applying the principles to the data you have by considering aspects of the quality of the data you have here would have shown this to a greater extent.Structure and presentation (as detailed in the assessment guidance): Your slides are clearly presented, audio is clear and you have also provided a transcript.Use of relevant sources: You have clearly made use of the module materials in identifying the scope of descriptive statistics, presenting a range of analyses and considering the requirements for good data quality.There are a number of ways in which this presentation could have been improved, most importantly by the use of more analysis of the data and greater application of the discussion of data quality to the actual dataset.
862068an hour agoI have attached the dataset and here is the question from the tutor
resubmission questionThe following learning outcomes for the module are applicable to this assignment: (see attached dataset) • Explain and evaluate the various types and sources of data. • Apply statistical measures including measures of location, variability and probability. Resubmission Question In order to complete this assignment you will be required to evaluate the various types and sources of data used and apply descriptive statistics to the data provided. You are required to choose an alternative date set that was provided to you during unit 3 of the Statistics for Business module. Part 1: You are required to create an audio narrated slide presentation and a transcript (of your narrated audio) in which you will: • Evaluate the various types and sources of data used. • Apply descriptive statistics to the data. The length of recording should be a maximum of 10 minutes. (This equates to approximately 1,000 -1,200 spoken words.)