Evaluate Quiz 8_ DATA1001 Foundations of Data Science

30/03/2024, 20:18 Evaluate Quiz 8: DATA1001 Foundations of Data Science https://canvas.sydney.edu.au/courses/48435/quizzes/215390 1/3 Evaluate Quiz 8 Due Apr 30, 2023 at 23:59 Points 5 Questions 5 Available Apr 24, 2023 at 9:00 - Apr 30, 2023 at 23:59 Time Limit 30 Minutes This quiz was locked Apr 30, 2023 at 23:59. Attempt History Attempt Time Score LATEST Attempt 1 6 minutes 5 out of 5 Score for this quiz: 5 out of 5 Submitted Apr 24, 2023 at 14:50 This attempt took 6 minutes.  Question 1 1 / 1 pts Correct! We only have a snapshot not a perspective of how things are over time. We need to run surveys online. We can't confidently see relationships.  Question 2 1 / 1 pts Quota sampling Convenience sampling Correct! Multi-stage cluster sampling Great job!  Question 3 1 / 1 pts Sydney Data Stories: According to Dr Mel Keep, what is 1 limitation with surveys? Which of the following is a probability sampling technique?

30/03/2024, 20:18 Evaluate Quiz 8: DATA1001 Foundations of Data Science https://canvas.sydney.edu.au/courses/48435/quizzes/215390 2/3 Correct! 0.75 Correct Answer 0.75 margin of error +/- 0.01 Well done!  Question 4 1 / 1 pts SE = 2SE = 10SE Correct! SE = 2SE , SE = 10SE SE = SE = SE SE = 4SE , SE = 100SE  Question 5 1 / 1 pts 22.5% 15% Correct! 17.5% 20% A box has 1 0s and 3 1s. What is the mean of the box, correct to 2 decimal places? Consider 3 box models as follows, where the draws are made with replacement , and the sum of the draws is calculated. BoxModel1: 100 draws from the box with 1, 2, 3, 4, 5 BoxModel2: 100 draws from the box with 2, 4, 6, 8, 10 BoxModel3: 10,000 draws from the box with 1, 2, 3, 4, 5 Denote the standard error (SE) for the sum of draws of the 3 models by SE , SE and SE respectively. Which of the following statements is TRUE? 1 2 3 1 2 3 2 1 3 1 1 2 3 2 1 3 1 Using the same Oyster example from this week’s lab video answer the following question: Using a bootstrap technique consisting of 5000 samples, what is the approximate that probability of a sample of 1000 oysters containing less than or equal to 300 pearls? Set the seed to 99 before creating the bootstrap sample using the code set.seed(99).