ment examines the performance, as measured by the number of errors made, on a motor skills task. 24 subjects, 12 young and 12 old were assigned to either an easy or hard motor skills task. There were 2 factors in the study: age (young/old) and difficulty of the motor skills task (easy/hard). The number of errors made on the motor skills task was recorded for each person and is presented in the table below. Null and Alternative Hypotheses:
I need more information. I have listed my conclusions below and relevant information. At the end of this post is my question.
This experiment examines the performance, as measured by the number of errors made, on a motor skills task. 24 subjects, 12 young and 12 old were assigned to either an easy or hard motor skills task.
There were 2 factors in the study: age (young/old) and difficulty of the motor skills task (easy/hard). The number of errors made on the motor skills task was recorded for each person and is presented in the table below.
Null and Alternative Hypotheses:
H0: There is not an interaction between young and old
H0: µYoung = µOld
H1: There is an interaction between young and old
H1: µYoung ≠ µOld
H0: There is not an interaction between easy and hard
H0: µEasy = µHard
H1: There is an interaction between young and old
H1: µEasy ≠ µHard
H0: There is not an interaction between age and difficulty
H0: µAge = µDifficulty
H1: There is an interaction between age and difficulty.
H1: µAge ≠ µDifficulty
Since the p-value for the factor age is 0.0002 which is less than 0.05, hence we can reject the null hypothesis and conclude that there is an interaction effect between young and old.
Since the p-value for the factor difficult level is 0 which is less than 0.05, hence we can reject the null hypothesis and conclude that there is an interaction effect between easy and hard.
Since the p-value for the factor interaction effect is 0.0231 which is less than 0.05, hence we can reject the null hypothesis and conclude that there is an interaction effect between the factor's age and difficulty level.
What I need:
I need a graph, labeled which will describe any significant interaction(s). (For this, it is fine to make it look like the plot shown in SPSS.) Use α = .05 for each test
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