Question 1 (Mandatory) (3 points)
Question 1 options:
A researcher is comparing the reaction time of 12-year-olds who play video games and 12-year-olds who do not. A random sample from each group provided the results shown below.
Reaction times of 12-year-olds
Using a 1% significance level, can the researcher conclude that the mean reaction time of players of video games is less than the mean reaction time of non-players of video games.
Ho: μp
μn Please note that the parameters are already given in the hypothesis statements.
HA: μp
μn Type >, <, or "not equals to"
T-stat =
Round your answer to 2 decimal place.
p-value =
Decision:
Type Retain Ho or Reject Ho
Question 2 (Mandatory) (1 point)
Write a summary statement for the hypothesis test above.
Question 2 options:
Question 3 (Mandatory) (3 points)
Question 3 options:
A history professor is curious if students who studied from printed hard copy had different mean test scores than students who studied text presented on a screen (e-book). In his large lecture classes, he randomly selected students and surveyed them about how they studied. At the end of the semester his survey and final exam scores revealed that 36 students studied from printed hard copy had a mean final exam score of 70 with a standard deviation of 8. The 45 students that studied from an e-book had a mean final exam score of 76 with a standard deviation of 10. Use this information to determine if there is a significant difference in the mean test scores in these two groups. (Let α = 0.10)
Hypothesis Statements
Ho: μh
μe Please note that the parameters are already given in the hypothesis statements.
HA: μh
μe Type >, <, or "not equals to"
T-stat =
Round your answer to 2 decimal place.
p-value =
Do not round,
Decision:
Type Retain Ho or Reject Ho
Question 4 (Mandatory) (1 point)
Write a summary statement for the hypothesis test above.
Question 4 options:
Question 5 (Mandatory) (0.5 points)
Which of the following is NOT an assumption or condition for a hypothesis test for two means?
Question 5 options:
Independence Assumption
Randomization Assumption
Success/Failure Condition
Is n big enough?
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