A statistics professor claims that her lectures cause headaches in only 1% of those who listen to them. A disgruntled student believes that more than 1% of those who listen to the lecture actually get...

A statistics professor claims that her lectures cause headaches in only 1% of those who listen to them. A disgruntled student believes that more than 1% of those who listen to the lecture actually get headaches.

1. Identify the population(s).
   
   
   
   

   
   
   • All students who listen to the lecture.
   
   
   • More than 1% of those who listen to the lecture actually get headaches.
   
   
   • 1% of those who attend the class.
   
   
   • the proportion of those who come to class compared to those who do get a headache.
   
   

   
   
   
   
   
   
   
   


2. What is the variable being examined for individuals in the population(s)?
   
   
   
   

   
   
   • 1% of those who attend the lecture who get a headache.
   
   
   • whether or not a student who listens to the lecture gets a headache.
   
   
   • more than 1% of those who attend the lecture who get a headache.
   
   
   • the proportion of those who listened to the lecture.
   
   

   
   
   
   
   
   
   
   


3. Is it categorical or quantitative?
   
   
   
   

   
   
   • Categorical
   
   
   • Quantitative
   
   

   
   
   
   
   
   
   
   


4. Identify the parameter(s).
   
   
   
   

   
   
   • the proportion of those who listen to the lecture and develop a headache.
   
   
   • the mean of those who listen to the lecture who get a headache.
   
   
   •  whether or not a person who listens to the lecture gets a headache.
   
   
   • all individuals who come to class.
   
   

   
   
   
   
   
   
   
   


5. What is the claim?
   
   
   
   

   
   
   • comparing two population means
   
   
   • a population mean
   
   
   • comparing two population proportions
   
   
   • a population proportion
   
   

   
   
   
   
   
   
   
   


6. Which hypotheses do we want to test?
   
   
   
   

   
   
   • H₀:p = 0.01
     H_a:p > 0.01
   
   
   • H₀:p = 0.01
     H_a:p ≠ 0.01
   
   
   • H₀:p ≠ 0.01
     H_a:p = 0.01
   
   
   • H₀:p = 0.01
     H_a:p <>