A number of Mason faculty, staff, and students commute to campus using a bike. A researcher was interested in discovering if a difference exists between an individual bike frame material and the time it takes to get to campus. In particular, the two types of bikes the researcher focused on were carbon-framed and steel-framed bikes. A random sample of bikers using a carbon-framed bike and another random sample of bikers using a steel-framed bike was selected and their time to Mason in minutes from a distance three miles away was recorded (we will subtract Carbon – Steel). You may assume all conditions that allow for inference using a t-distribution are met. The data set is called “Type of Bike 1.” Use the significance level = 0.05. -What are some confounding variable that may have had an effect on this study’s results.
1)A number of Mason faculty, staff, and students commute to campus using a bike. A researcher was interested in discovering if a difference exists between an individual bike frame material and the time it takes to get to campus. In particular, the two types of bikes the researcher focused on were carbon-framed and steel-framed bikes. A random sample of bikers using a carbon-framed bike and another random sample of bikers using a steel-framed bike was selected and their time to Mason in minutes from a distance three miles away was recorded (we will subtract Carbon – Steel). You may assume all conditions that allow for inference using a t-distribution are met. The data set is called “Type of Bike 1.” Use the significance level = 0.05.
-What are some confounding variable that may have had an effect on this study’s results.
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