Analyse data using appropriate statistical techniques

Assignment Help Other Subject

Reference no: EM134044008 , Length: Word Count:1000

Statistics and Applied Analytics

Assessment Task - Statistical Model and Inference

Learning Outcome 1: Collect and transform data for analysis.
Learning Outcome 2: Analyse data using appropriate statistical techniques and tools.
Learning Outcome 3: Communicate statistical analysis findings to support decision-making.

Assessment Task
This assessment requires you to perform the following tasks:
Use appropriate techniques to correct the data issues identified during the data quality phase.
Identify relevant approaches to solve problems working with available data. Please refer to the Instructions (below) for details on how to complete this task.

Context
Data are invaluable for understanding past and present reality, and facilitating decision making. To transform data into educated predictions that enable decision making, the quality and quantity of the data must be reliable. Additionally, appropriate statistical techniques such as statistical inference must be applied. These techniques contain various approaches for identifying patterns and making predictions that can guide practical actions, assuming a stable environment.
Governments and organisations of various types and sizes can use these techniques to optimise key factors, such as profit, resource use and maximum output, and reduce losses and waste.

Instructions
In this assessment, you will evaluate the data quality of a dataset using statistical methods. The goal is to ensure that the data represent reality well, are useful for analysis and ultimately facilitate decision making.
You will create a question that inferential statistical techniques can answer. You will then apply inferential statistical methods to create a model capable of making predictions.
Note: Your learning facilitator will provide details about the dataset assigned to you. To complete this assessment, you must complete the following high-level tasks:
Access the SAS Viya statistical software to perform the analysis.
Obtain the dataset and load it in the analytical environment.
Perform the data analysis and correct any data issues.
Familiarise yourself with the data, and clean the dataset, and then create a question that inferential statistics can answer.
Create a relevant model using inferential statistical methods capable of answering the question.
Prepare a clear, well-structured report that:
describes the dataset
describes the context that the data represent
states the question, and explains why it is relevant
proposes a technique, and explains why it is suitable to answer the question
shows the inferences or predictions generated by the model
presents relevant metrics about the model's performance and its interpretation in the context of the question
has been checked to ensure the spelling, grammar and punctuation are correct
uses a consistent style for the presentation, including titles, paragraphs and visual elements
includes correct, legible charts, without distractions and with a good resolution.

Include in an appendix a screenshot of your computer showing:
the date and time
your image captured from the computer's camera
the application software with your identification
relevant code, results and logs.

Note: Read the assessment rubric, which is an evaluation guide with criteria for grading your assessment. This will indicate what features a successful document should exhibit.

Referencing
It is essential that you use current APA style and apply appropriate statistical hypothesis testing where relevant to your analysis. For model development and interpretation, regression analysis may also be relevant depending on the dataset and research question.

Reference no: EM134044008

Questions Cloud

Explain the importance of addressing all trauma : Provide an example of how a client may be traumatized without meeting the criteria for PTSD. Explain the importance of addressing all trauma.

Mental health worker with large inner-city clinic : Imagine that you are a mental health worker with a large inner-city clinic attached to a public hospital emergency room.

Describe two key principles of family systems theory : Describe two key principles of family systems theory. Using a definition broader than the traditional nuclear view, define and give an example of family.

Mental health worker with large inner-city clinic attached : Imagine that you are a mental health worker with a large inner-city clinic attached to a public hospital emergency room.

Analyse data using appropriate statistical techniques : Statistical Model and Inference Assessment - Identify relevant approaches to solve problems working with available data

Importance of considering axiology : Biedenbach and Jacobsson (2016) present a compelling argument regarding the importance of considering axiology when designing research.

Complains of colic-like pain in right hypochondrium : A 45-year-old woman complains of colic-like pain in the right hypochondrium, which occurs after eating fatty foods, exercise, radiates to the

Obtain central arterial and venous line : Once the endotracheal tube appears to be secured with tape, the next step is to obtain a central arterial and venous line.

Data issues with variables based on the statistical analysis : Apply foundational statistical techniques to describe and evaluate data quality and Communicate statistical analysis findings to support decision-making

User Account

All Pages