29 April 2011

Results

Data was recorded each day (Table 1 and 2) and at the end of the experiment an ANOVA (analysis of variance) test was performed to see of there was a difference in the measurements or if it occurred out of chance, thus it will explain if the data supports the hypothesis.

Observed results in Table 1 shows an increase in food consumption when the amount of light increased. A p-value of 0.34 for average consumed food (Table 3) indicates no significant difference between photoperiod change and consumed food since it is greater than 0.05. Observed results in Table 2 do not show a significant increase or decrease in water consumption most likely do to frequent water leaks throughout the experiment. A p-value of 0.08 for average consumed water (Table 4) indicates no significant difference between photoperiod and consumed water.


Table 1: Average Food Consumption (g)
Photoperiod
H1
H2
H3
12:12 (Control)
3.8
2.73
2.43
9:15
4.77
2.73
3.94
6:18
4.86
3.25
5.2
12:12 (Control)
2.99
2.34
3.53
15:9
3.68
5.7
6.64
18:6
3.03
3.56
3.55

Table 1: Average food consumption for hamster 1, 2, and 3. The amount of food consumed in the three days of each photoperiod was averaged for each hamster.


Table 2: Average Water Consumption (ml)
Photoperiod
H1
H2
H3
12:12 (Control)
57.5
20
45
9:15
13.7
14.7
16.3
6:18
16
6.67
18.3
12:12 (Control)
21
8
15.3
15:9
37.3
26.7
21.7
18:6
13.3
5.67
35.7

Table 2: Average water consumption for hamster 1, 2, and 3. The amount of water consumed in the three days of each photoperiod was averaged for each hamster.


Table 3: ANOVA Test on Food Consumption
Source of Variation
SS
df
MS
F
P-value
F crit
Rows
12.98958333
5
2.597916667
2.985265
0.066386279
3.325834529
Columns
2.0788
2
1.0394
1.194374
0.342659599
4.102821015
Error
8.702466667
10
0.870246667
Total
23.77085
17





Table 3: A p-value for the columns section represents the variance of consumed food compared to the photoperiods. A p-value of 0.34 shows there is no significant difference between photoperiod change and consumed food since the p-value is much greater than 0.05.


Table 4: ANOVA Test on Water Consumption
Source of Variation
SS
df
MS
F
P-value
F crit
Rows
1752.708511
5
350.5417022
3.900456
0.03195322
3.325834529
Columns
608.8448444
2
304.4224222
3.38729
0.075290767
4.102821015
Error
898.7196889
10
89.87196889
Total
3260.273044
17





Table 4: A p-value for the columns section represents the variance of consumed water compared  to the photoperiods. Since the p-value is 0.08 and greater than 0.05, it shows that there is no significant difference of consumed water compared to the change in photoperiods.

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