An experiment was planned to study the effect of Sulphate, Potash and Super Phosphate on the yield of potatoes. All the combinations of 2 levels of Super Phosphate [0 cent (p0) and 5 cent (p1)/ acre] and two levels of Sulphate and Potash [0 cent (k0) and 5 cent (k1)/acre] were studied in a randomised block design with 4 replications each. The (1/70) yields [lb per plot = (1/70) acre] obtained are given in table below:
| Blocks | Yields (lbs per plot) | |||||||||
| I | (1) 23 | k 25 | p 22 | kp 38 | ||||||
| II | p 40 | (1) 26 | k 36 | kp 38 | ||||||
| III | (1) 29 | k 20 | pk 30 | p 20 | ||||||
| IV | kp 34 | k 31 | p 24 | (1) 28 | ||||||
Analyse the data and give your conclusions.
To analyze the data and draw conclusions, we can perform an analysis of variance (ANOVA) to determine whether the factors (Super Phosphate, Sulphate, and Potash) have a significant effect on the yield of potatoes. Additionally, we can compute the mean yields for each treatment combination to identify any notable patterns.
First, let's organize the data into a table format for better understanding:
| Block | Treatment Combination | Yield (lbs per plot) |
|---|---|---|
| I | p0k0 | 23 |
| I | k0 | 25 |
| I | p0 | 22 |
| I | p1k1 | 38 |
| II | p0 | 40 |
| II | k0 | 26 |
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