I want to assess whether different types of movies increase viewers’ stress response. I recruit 24 individuals and randomly assign them into three groups: Frozen (a Disney kids movie), Nightmare on Elm Street (a horror movie), and Fast & Furious (an action movie). After each participant watches their assigned movie, I measure their heart rate. Test, at an alpha of 0.05, whether the type of movie affects heart rate. null hypothesis: H0: μ1 Frozen= μ2 night
I want to assess whether different types of movies increase viewers’ stress response. I recruit 24 individuals and randomly assign them into three groups: Frozen (a Disney kids movie), Nightmare on Elm Street (a horror movie), and Fast & Furious (an action movie). After each participant watches their assigned movie, I measure their heart rate. Test, at an alpha of 0.05, whether the type of movie affects heart rate.
null hypothesis: H0: μ1 Frozen= μ2 nightmare=μ3 fast & furious
alternative hypothesis:
Not all the means are equal
Data:
|
Frozen DV: Heart Rate (BPM) |
Nightmare on Elm Street DV: Heart Rate (BPM) |
Fast & Furious DV: Heart Rate (BPM) |
|
65 |
90 |
85 |
|
70 |
85 |
85 |
|
70 |
86 |
75 |
|
65 |
92 |
90 |
|
62 |
93 |
60 |
|
63 |
97 |
63 |
|
68 |
105 |
74 |
|
72 |
110 |
80 |
between-groups degrees of freedom (df):
-1=3-1=2
2
within-groups degrees of freedom (df):
24-3=21
total degrees of freedom (df):
24-1= 23
- What is our critical F value (from table)?
- Fill in the ANOVA summary table with your data
|
Source |
Sum of Squares |
df |
MS (Variance) |
F |
|
Movie |
||||
|
Error |
||||
|
Total |
- What conclusion can we draw?
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