Homework SourseApoptosis are programmed cell death and are being tested in
Apoptosis are programmed cell death and are being tested in 6 different treatments. Are the results different by different treatment. Use two tests, one of is nonparametric. If different, which treatments are different and which one are the same.
Use statistical software and show as much work as possible. Thank you
USE TWO WAY AVOVA TO SOLVE THIS. ONE WAY WILL BE WRONG. THANK YOU
| clone | treat | apotosis |
| 1.00 | 1.00 | 5.20 |
| 1.00 | 1.00 | 6.40 |
| 1.00 | 1.00 | 5.40 |
| 1.00 | 2.00 | 4.40 |
| 1.00 | 2.00 | 5.50 |
| 1.00 | 2.00 | 7.20 |
| 1.00 | 3.00 | 10.20 |
| 1.00 | 3.00 | 12.50 |
| 1.00 | 3.00 | 9.60 |
| 1.00 | 4.00 | 35.20 |
| 1.00 | 4.00 | 38.60 |
| 1.00 | 4.00 | 32.50 |
| 1.00 | 5.00 | 48.50 |
| 1.00 | 5.00 | 42.60 |
| 1.00 | 5.00 | 45.20 |
| 1.00 | 6.00 | 59.20 |
| 1.00 | 6.00 | 56.50 |
| 1.00 | 6.00 | 60.20 |
| 2.00 | 1.00 | 3.20 |
| 2.00 | 1.00 | 6.30 |
| 2.00 | 1.00 | 4.50 |
| 2.00 | 2.00 | 5.60 |
| 2.00 | 2.00 | 2.20 |
| 2.00 | 2.00 | 4.50 |
| 2.00 | 3.00 | 12.40 |
| 2.00 | 3.00 | 13.50 |
| 2.00 | 3.00 | 11.80 |
| 2.00 | 4.00 | 31.80 |
| 2.00 | 4.00 | 35.60 |
| 2.00 | 4.00 | 33.80 |
| 2.00 | 5.00 | 45.70 |
| 2.00 | 5.00 | 46.80 |
| 2.00 | 5.00 | 48.00 |
| 2.00 | 6.00 | 61.20 |
| 2.00 | 6.00 | 58.60 |
| 2.00 | 6.00 | 62.50 |
Solution
Tukey HSD result presented below.
Group 1 and 2 are not significant
All other pairs of groups are significant
Multiple Comparisons
Dependent Variable: apotosis
Tukey HSD
(I) treat
(J) treat
Mean Difference (I-J)
Std. Error
Sig.
95% Confidence Interval
Lower Bound
Upper Bound
1.0
2.0
.267
1.0744
1.000
-3.055
3.589
3.0
-6.500*
1.0744
.000
-9.822
-3.178
4.0
-29.417*
1.0744
.000
-32.739
-26.095
5.0
-40.967*
1.0744
.000
-44.289
-37.645
6.0
-54.533*
1.0744
.000
-57.855
-51.211
2.0
1.0
-.267
1.0744
1.000
-3.589
3.055
3.0
-6.767*
1.0744
.000
-10.089
-3.445
4.0
-29.683*
1.0744
.000
-33.005
-26.361
5.0
-41.233*
1.0744
.000
-44.555
-37.911
6.0
-54.800*
1.0744
.000
-58.122
-51.478
3.0
1.0
6.500*
1.0744
.000
3.178
9.822
2.0
6.767*
1.0744
.000
3.445
10.089
4.0
-22.917*
1.0744
.000
-26.239
-19.595
5.0
-34.467*
1.0744
.000
-37.789
-31.145
6.0
-48.033*
1.0744
.000
-51.355
-44.711
4.0
1.0
29.417*
1.0744
.000
26.095
32.739
2.0
29.683*
1.0744
.000
26.361
33.005
3.0
22.917*
1.0744
.000
19.595
26.239
5.0
-11.550*
1.0744
.000
-14.872
-8.228
6.0
-25.117*
1.0744
.000
-28.439
-21.795
5.0
1.0
40.967*
1.0744
.000
37.645
44.289
2.0
41.233*
1.0744
.000
37.911
44.555
3.0
34.467*
1.0744
.000
31.145
37.789
4.0
11.550*
1.0744
.000
8.228
14.872
6.0
-13.567*
1.0744
.000
-16.889
-10.245
6.0
1.0
54.533*
1.0744
.000
51.211
57.855
2.0
54.800*
1.0744
.000
51.478
58.122
3.0
48.033*
1.0744
.000
44.711
51.355
4.0
25.117*
1.0744
.000
21.795
28.439
5.0
13.567*
1.0744
.000
10.245
16.889
Based on observed means.
The error term is Mean Square(Error) = 3.463.
*. The mean difference is significant at the 0.05 level.
apotosis
Tukey HSDa,b
treat
N
Subset
1
2
3
4
5
2.0
6
4.900
1.0
6
5.167
3.0
6
11.667
4.0
6
34.583
5.0
6
46.133
6.0
6
59.700
Sig.
1.000
1.000
1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed.
Based on observed means.
The error term is Mean Square(Error) = 3.463.
a. Uses Harmonic Mean Sample Size = 6.000.
b. Alpha = 0.05.
| Multiple Comparisons | ||||||
| Dependent Variable: apotosis | ||||||
| Tukey HSD | ||||||
| (I) treat | (J) treat | Mean Difference (I-J) | Std. Error | Sig. | 95% Confidence Interval | |
| Lower Bound | Upper Bound | |||||
| 1.0 | 2.0 | .267 | 1.0744 | 1.000 | -3.055 | 3.589 |
| 3.0 | -6.500* | 1.0744 | .000 | -9.822 | -3.178 | |
| 4.0 | -29.417* | 1.0744 | .000 | -32.739 | -26.095 | |
| 5.0 | -40.967* | 1.0744 | .000 | -44.289 | -37.645 | |
| 6.0 | -54.533* | 1.0744 | .000 | -57.855 | -51.211 | |
| 2.0 | 1.0 | -.267 | 1.0744 | 1.000 | -3.589 | 3.055 |
| 3.0 | -6.767* | 1.0744 | .000 | -10.089 | -3.445 | |
| 4.0 | -29.683* | 1.0744 | .000 | -33.005 | -26.361 | |
| 5.0 | -41.233* | 1.0744 | .000 | -44.555 | -37.911 | |
| 6.0 | -54.800* | 1.0744 | .000 | -58.122 | -51.478 | |
| 3.0 | 1.0 | 6.500* | 1.0744 | .000 | 3.178 | 9.822 |
| 2.0 | 6.767* | 1.0744 | .000 | 3.445 | 10.089 | |
| 4.0 | -22.917* | 1.0744 | .000 | -26.239 | -19.595 | |
| 5.0 | -34.467* | 1.0744 | .000 | -37.789 | -31.145 | |
| 6.0 | -48.033* | 1.0744 | .000 | -51.355 | -44.711 | |
| 4.0 | 1.0 | 29.417* | 1.0744 | .000 | 26.095 | 32.739 |
| 2.0 | 29.683* | 1.0744 | .000 | 26.361 | 33.005 | |
| 3.0 | 22.917* | 1.0744 | .000 | 19.595 | 26.239 | |
| 5.0 | -11.550* | 1.0744 | .000 | -14.872 | -8.228 | |
| 6.0 | -25.117* | 1.0744 | .000 | -28.439 | -21.795 | |
| 5.0 | 1.0 | 40.967* | 1.0744 | .000 | 37.645 | 44.289 |
| 2.0 | 41.233* | 1.0744 | .000 | 37.911 | 44.555 | |
| 3.0 | 34.467* | 1.0744 | .000 | 31.145 | 37.789 | |
| 4.0 | 11.550* | 1.0744 | .000 | 8.228 | 14.872 | |
| 6.0 | -13.567* | 1.0744 | .000 | -16.889 | -10.245 | |
| 6.0 | 1.0 | 54.533* | 1.0744 | .000 | 51.211 | 57.855 |
| 2.0 | 54.800* | 1.0744 | .000 | 51.478 | 58.122 | |
| 3.0 | 48.033* | 1.0744 | .000 | 44.711 | 51.355 | |
| 4.0 | 25.117* | 1.0744 | .000 | 21.795 | 28.439 | |
| 5.0 | 13.567* | 1.0744 | .000 | 10.245 | 16.889 | |
| Based on observed means. The error term is Mean Square(Error) = 3.463. | ||||||
| *. The mean difference is significant at the 0.05 level. |
