Researchers are studying stress and want to know if a new drug reduces feelings of chronic stress. They take a sample of 12 chronically stressed individuals and randomly assign them into one of three groups. The control group does not get the drug, the first experimental group gets one dose of the drug, and the second experimental group gets two doses of the drug. Then they record the number of symptoms of stress that the participants display. What can they conclude about the effect of the drug on stress?
Group |
|||||||
Control |
One Dose |
Two Doses |
|||||
9 |
8 |
4 |
?X2= |
498 |
|||
8 |
8 |
3 |
G= |
74 |
|||
6 |
7 |
5 |
N= |
12 |
|||
7 |
5 |
4 |
k= |
3 |
|||
T=30 |
T=28 |
T=16 |
|||||
SS= 5 |
SS= 6 |
SS= 2 |
|||||
n= 4 |
n= 4 |
n= 4 |
|||||
M= 7.5 |
M= 7 |
M= 4 |
|||||
1) State the null and alternative hypotheses
H0:
HA:
2) Identify the two degrees of freedom necessary to find the critical value and then find the critical value
df (on top)=
df (on bottom)=
Fcrit =
3) Complete the ANOVA Table:
Source |
SS |
df |
MS |
F |
Between treatments |
___ |
___ |
____ |
___ |
Within treatments |
____ |
____ |
____ |
____ |
Total |
_____ |
_____ |
X |
____ |
4) Interpret the results. (state if you reject or fail to reject the null hypothesis, if there is a statistically significant difference, and if the p-value is greater than or less than .05)
PLEASE HELP!!! & SHOW WORK! Thank you!
We can directly use here one way anova by Excel.
Step1) Enter data in Excel.
Step 2) Data >>Data analysis >> One way anova >>Select data >>ok
1) the null and alternative hypotheses
HA: The means are not all equal.
2)
df (on top)=3-1=2
df (on bottom)=12-3=9
Fcrit =4.2565.......................by using =FINV(0.05,2,9)
3)
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 28.66666667 | 2 | 14.33333333 | 9.923076923 | 0.005292924 | 4.256494729 |
Within Groups | 13 | 9 | 1.444444444 | |||
Total | 41.66666667 | 11 |
4) P value is 0.0053 ......................by using =FDIST(9.923,2,9)
P value 0.0053 < 0.05
We reject H0.
We can say that ,The differences between some of the means are statistically significant
i.e. conclude that not all population means are equal.
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