In: Statistics and Probability
The following questions require that you conduct appropriate tests of the null hypotheses outlined in each question using an a=0.05 significance level. In all cases you are expected to use the appropriate inferential statistical test available in the Excel data analysis tool pack. Questions requiring a post hoc means comparison test (ie Scheffe’s or Tukey’s HSD test) are worth 20 marks, otherwise they are worth 10 marks.
A toxicologist has conducted a study to determine whether a new insecticide will reduce the fecundity (number of eggs per day) of lady bird beetles, a beneficial non-target insect. Test the null hypothesis that there is no difference in the fecundity of the beetles in the three experimental treatments. If necessary, complete a means comparison test (i.e. Scheffé's test).
Control | Low Dose | High Dose |
16 | 21 | 29 |
22 | 27 | 33 |
15 | 18 | 21 |
23 | 26 | 22 |
30 | 30 | 27 |
20 | 24 | 34 |
23 | 29 | 24 |
Control | Low Dose | High Dose |
16 | 21 | 29 |
22 | 27 | 33 |
15 | 18 | 21 |
23 | 26 | 22 |
30 | 30 | 27 |
20 | 24 | 34 |
23 | 29 | 24 |
H0: or there is no difference in the fecundity of the beetles in the three experimental treatments
H1: Atleast two groups are different.
Goto excel-->enter data-->data-->data analysis-->Anova:Single factor:
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Column 1 | 7 | 149 | 21.28571429 | 25.2380952 | ||
Column 2 | 7 | 175 | 25 | 18.6666667 | ||
Column 3 | 7 | 190 | 27.14285714 | 26.4761905 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 122.952381 | 2 | 61.47619048 | 2.62043302 | 0.10027249 | 3.554557146 |
Within Groups | 422.2857143 | 18 | 23.46031746 | |||
Total | 545.2380952 | 20 |
Fcal=2.62043302
Fcritical=3.554557146
p-value=0.10027249
Fcal < Fcritical also p-value=0.10027249 >0.05 hence we accept the null hypothesis or there is no difference in the fecundity of the beetles in the three experimental treatments.
post hoc means comparison test (ie Scheffe’s or Tukey’s HSD test):
We calculate tgroup1,group2= | | >MSE the difference is significant.
Groups | Average |
Column 1 | 21.28571429 |
Column 2 | 25 |
Column 3 | 27.14285714 |
MSE=23.46031746
tcontrol,low dose= <MSE( insignificant)
p-value=0.3454023>0.05(insignificant).
tlow dose,high dose= <MSE(insignificant)
p-value=0.0874468>0.05(insignificant).
thigh dose,control= <MSE(insignificant)
p-value=0.6808151>0.05(insignificant).
Hence, there is no significant difference between the populations.
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