Stats4BevScience: Lab 1- Example 1

What type of study is this experiment?

• Observational

• Experiemental

What is the independent variable?

• Exam Score received after beverage consumed

• Type of beverage consumed

• Color of Gatorade

• Type of water: tap or sparkling

What's the dependent variable?

• Exam score

• Type of beveragre consumed

• Color of gatorade

• type of water: tap or sparkling

What's the sample size?

• 15 BC students

• 25 BC students

• 50 BC students

• 100 BC students

What's the population?

• All college students in the US

• All psychology students in the US

• All college students in Brooklyn College

• All psychology students in Brooklyn College

What is the number of data being collected?

• 15 exam scores

• 25 exam scors

• 50 exam scores

• 100 exam scores

How would we find the statistic or average exam score for each group?

• Mean=sum of group dataset * N of group

• Mean=sum of group dataset / N of group

A researcher is interested in whether caffeine is associated with lower exam scores in college students: What would the data look like if there was an effect of caffeine on exam scores?

• The mean exam scores for the coffee and tea groups would be higher than those in the gatorade and water groups

• The mean exam scores for the coffee and tea groups would be lower than those in the gatorade and water groups