R代写-STA304

STA304 Winter 2021 Makeup Test 2
Posted by: Shivon Sue-Chee at 12am on Wednesday, March 31, 2021
Due: In Quercus by 11:59pm on March 31, 2021
1 Instructions
• Create a video presentation of no longer than 10 minutes with you presenting your slide deck
with answers to ‘The Makeup Test 2’. Your face should be shown at least once throughout
• Save your video presentation as an MP4 file and upload it into your UofT MyMedia account.
I suggest that you use Zoom to create your video. Here are two demonstration videos of how
– https://kb.siue.edu/61721
Here is documentation on using UofT MyMedia:
– https://www.oise.utoronto.ca/online/Instructors/Video_server_-_MyMedia/index.
html
• Copy the permanent MyMedia link of your presentation and paste into in a doc, docx or pdf
file.
• Into Quercus Makeup Test 2, upload the following two (2) files:
A grading rubric will be posted in Quercus for this makeup.
3 The Makeup Test 2
Complete a 10-minute video presentation to complete the following four (4) parts:
I. Show a clear picture of your U of T student card.
Using our class population data in the file, mut2data.csv, suppose we want to estimate the
mean height of students in our class using a probability sample of students.
II. Using numbers, formulas and diagrams, demonstrate the similarities and/or differences in using
a simple random sample versus a systematic random sample to estimate the population height
mean. Use sample size n=20.
III. Using numbers, formulas and diagrams, demonstrate the similarities and/or differences in
using ratio, regression and difference estimation based on a simple random sample of n = 10
students to estimate the population height mean.
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IV. Using numbers, formulas and diagrams, demonstrate the similarities and/or differences in
using one-stage cluster sampling versus simple random sample to estimate the population
height mean. Use the variable -digits , to form clusters and randomly sample 2 clusters to
make up your cluster sample. For simple random sampling, use the same sample size as that
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