Lecture 24
Dr. Elijah Meyer
Duke University
STA 199 - Spring 2023
April 12th, 2023
– Clone ae-23
– Peer Review Lab Due Today (April 12th)
– HW-6 (Statistics Experience) due April 28th
– Project Final Report (April 28th)
– Project Presentations (April 25th)
– HW 5 Due Thursday (April 13th)
– Second Peer Evaluation (April 14th by 5:00 PM)
– Exam 2 starts April 14th at 5:00 PM
– Good Conversation in Slack! Check it out
– Error: To many files
This is not your fault
– Homework 4 Question 7
– Homework 5 Population Median
— There is no widely accepted standard notation for the median
— \(\eta\)
— \(\mu\) and define correctly
— sample median x̃
– Homework 5 Question 2
— Single mean
— Air bnb example
– \(\mu\) -> \(\pi\)
– \(\mu_1 - \mu_2\) -> \(\pi_1 - \pi_2\)
– \(\bar{x_1} - \bar{x_2}\) -> \(\hat{p_1} - \hat{p_2}\)
Here we consider an experiment with patients who underwent CPR for a heart attack and were subsequently admitted to a hospital. Each patient was randomly assigned to either receive a blood thinner (treatment group) or not receive a blood thinner (control group). The outcome variable of interest was whether the patient survived for at least 24 hours, and the researchers are interested in if giving a patient the blood thinner impacts the outcome of survival.
Explanatory Variable -
Response Variable -
Null Hypothesis -
Alternative Hypothesis -
– We are going to take the proportion of “died”
– Calculate \(\hat{p_c} - \hat{p_t}\)
– Check assumptions
– Test our hypothesis using theory based methods
– Make decisions and conclusions based on a p-value
– Can you read Martian?
How well can humans distinguish one “Martian” letter from another? In today’s activity, we’ll find out. When shown the two Martian letters, kiki and bumba, vote on whether you think bumba is option 1 or option 2.
Go to the link to vote: https://app.sli.do/event/etoay5PwN5Mg5qiYg6BnDf
We are recording how many students correctly identified bumba
And are interested in if students can read Martian based on these data
Now that we have data, we can…
– Calculate our sample statistic
– Simulate a null distribution
– Calculate a p-value
– Make decisions and conclusions
– Sample Statistic
– Null Hypothesis
– Alternative Hypothesis