Example #1: A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from 0 to 30). Half of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group).
$$\begin{array} { | l | c | c | }
\hline & \text { Marning Testing } & \text { Afternoon Testirg } \
\hline \text { Older Adults } & \boldsymbol { M } = 15 & \boldsymbol { M } = \mathbf { 8 } \
\hline \text { Yourger Adults } & \boldsymbol { M } = 16 & \boldsymbol { M } = \mathbf { 2 0 } \
\hline
\end{array}$$
-Name the dependent variable.

Question

Example #1: A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from 0 to 30). Half of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group).
 $$\begin{array} { | l | c | c | } 
\hline & \text { Marning Testing } & \text { Afternoon Testirg } \
\hline \text { Older Adults } & \boldsymbol { M } = 15 & \boldsymbol { M } = \mathbf { 8 } \
\hline \text { Yourger Adults } & \boldsymbol { M } = 16 & \boldsymbol { M } = \mathbf { 2 0 } \
\hline
\end{array}$$
-Name the dependent variable.

Quizplus · Accepted Answer

The Answer of Example #1: A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from 0 to 30). Half of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group).
 $$\begin{array} { | l | c | c | } 
\hline & \text { Marning Testing } & \text { Afternoon Testirg } \
\hline \text { Older Adults } & \boldsymbol { M } = 15 & \boldsymbol { M } = \mathbf { 8 } \
\hline \text { Yourger Adults } & \boldsymbol { M } = 16 & \boldsymbol { M } = \mathbf { 2 0 } \
\hline
\end{array}$$
-Name the dependent variable.

Example #1: a Researcher Wishes to Examine Whether Time of Day