STATS 101-108 - Assignment 2 - Part B
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Assignment 2 - Part B
This assignment is based on the content covered in Chapter 4 Randomisation |Matapōkere. Before starting on this assignment you should have read the corresponding notes and completed the interactive exercises for this chapter. Lecture 4b covers many of the skills that you need to complete this assignment. For support in completing this assignment head along to the drop-in sessions. |
The process for submitting this assignment has changed since assignment 1. Refer to the assignment information video below for how to create an html Ele to submit via Canvas. |
Assignment information
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Click this link to make a copy of a Google doc with a template for your answers.
DO NOT delete any of the template text. Type your answers and paste your images directly into this document.
See the assignment information video with assignment 2 part B for more information on using this template.
Question Four (2 marks)
Head to the Logo detective app and follow the instructions given.
Take a screenshot (snip) of one of the brands where you had no idea which logo was correct. Paste this image into the Google doc template with your answers. Identify whether you got this brand logo correct or wrong.
The side (left or right) showing the correct logo was randomised. Count how many times the correct brand logo was shown on the left-hand side for you. BrieTy explain how the use of randomisation is useful here.
Record how many of the 20 brands you correctly detected the logo. Calculate your correct percentage (the observed result/proportion).
Use the simple modelling tool to compare your observed result to data generated from a suitable null model. Take a screenshot (snip) of the simple modelling tool after you have changed the settings to match your data and statistical test. Paste this image into the Google doc template with your answers.
Write two sentences explaining whether, based on your statistical
test, there is evidence that you did better or worse than “just chance” when selecting the correct brand logos.
Note: Please use the examples given in the notes, interactive exercises,
and lectures when writing your interpretation of the hypothesis test
result.
Construct your answer using the following template which is already in the template document.
A screenshot of one of the brands where you had no idea which logo was correct and a description of whether you got this brand logo correct or wrong:
The number of times the correct brand logo was shown on the left-hand-side, with a brief explanation of why the side with the correct brand logo was randomised:
The percentage of brands that you were able to correctly detect the logo:
A screenshot of the simple modelling tool after you have changed the settings to match your data and statistical test:
Two sentences explaining whether, based on your statistical test, there is evidence that you did better or worse than “just chance” when selecting the correct brand logos:
Question Five (2 marks)
Head to the cross-selling app and follow the instructions given, making sure you carefully read the information provided about the context for the virtual experiment.
Take a screenshot (snip) of the design you used for your virtual experiment. Do this after you have generated the data from your experiment. Paste this image into the Google doc template with your answers.
Copy the link to your data in iNZight Lite. Then click this link to open your virtual experiment data within iNZight Lite.
Create an appropriate plot using the variables amount_spent and website_version . Click the AddtoPlottab and then the Show meanbox to show the means on the plot. Copy and paste this image into the Google doc template with your answers.
Use the data generated from your virtual experiment, carry out a randomisation test using the VIT tab to compare the
mean amount_spent by website_version . Take a screenshot of only the re-randomisation distribution shown at the bottom of the output, making sure the tail proportion is shown. Paste this image into the Google doc template with your answers.
Write two sentences explaining whether, based on your virtual experiment and randomisation test, there is evidence of a website version treatment e`ect.
Note: Please use the examples given in the notes, interactive exercises,
and lectures when writing your interpretation of the hypothesis test
result.
Construct your answer using the following template which is already in the template document.
A screenshot of the design you used for your virtual experiment:
The link to your data in iNZight Lite:
An appropriate plot of amount_spent and website_version:
A screenshot of the re-randomisation distribution from the output of your randomisation test:
Two sentences explaining whether, based on your virtual experiment and randomisation test, there is evidence of a website version treatment e`ect:
Question Six (1 mark)
Describe in your own words:
ONE important idea from the two chapters this assignment is based on. Do not just copy one of the learning objectives, or something from the notes or other learning resources. It could help you to speciEcally refer to an activity from the lectures.
ONE thing related to this topic that you are curious about exploring further or learning more about. This could include something personal, statistical, or computational.
How ONE of the Eve learning outcomes/threads for this
course (Purposes + Decisions, Data + People, Models + Generalisations, Technology + Automation, Communication + Uncertainty) relates to your work in this assignment
You need to write at least 100 words for this question, using at least three full sentences. Do not copy the prompts above for this question.
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others may have been used in this course and copied by and solely for the educational purposes of the University of Auckland under licence. You may copy the course content for the purposes of private study or research, but you may not upload onto any third party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.For example, you are not allowed to download and share any materials from this course book on external websites such as Chegg, StuDoc, Course Hero, or other similar platforms. |
2023-03-27