Question

In: Statistics and Probability

2. An experiment was conducted to test the effects of nitrogen fertilizer on lettuce production. Five...

2. An experiment was conducted to test the effects of nitrogen fertilizer on lettuce production. Five rates of ammonium nitrate were applied to four replicate plots in a completely randomized design. The data are the number of heads of lettuce harvested from the plot. Use α =0.05

  1. Write the statistical effects model and completely specify each component. State the necessary assumptions for the analysis.
  2. Perform the appropriate analysis, identify what hypotheses are being tested, the test statistic, critical value and p-value. State your conclusions and make any specific recommendations for use of the fertilizers.
  3. Use Tukey’s adjustment and perform pairwise comparisons for the different level of fertilizers.
  4. Treatment (lb N/acre) Heads of lettuce/plot
    0 104 114 90 140
    50 134 130 144 174
    100 146 142 152 156
    150 147 160 160 163
    200 131 148 154 163

Solutions

Expert Solution

(a) The model is:

Heads of lettuce/plot = 112.00 + 0.0 Treatment (lb N/acre)_0 + 33.5 Treatment (lb N/acre)_50 + 37.0 Treatment (lb N/acre)_100 + 45.5 Treatment (lb N/acre)_150 + 37.0 Treatment (lb N/acre)_200

(b) The hypothesis being tested is:

Null hypothesis All means are equal
Alternative hypothesis Not all means are equal
Significance level α = 0.05

Equal variances were assumed for the analysis.

Factor Information

Factor Levels Values
Treatment (lb N/acre) 5 0, 50, 100, 150, 200

Analysis of Variance

Source DF Adj SS Adj MS F-Value P-Value
Treatment (lb N/acre) 4 4995 1248.7 5.61 0.006
Error 15 3338 222.5
Total 19 8333

Since the p-value (0.006) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that there are effects of nitrogen fertilizer on lettuce production.

(c) Using the Tukey Method and 95% Confidence

Treatment
(lb N/acre)
N Mean Grouping
150 4 157.50 A
200 4 149.00 A
100 4 149.00 A
50 4 145.50 A
0 4 112.0 B

Means that do not share a letter are significantly different.

Tukey Simultaneous Tests for Differences of Means

Difference
of Levels
Difference
of Means
SE of
Difference
95% CI T-Value Adjusted
P-Value
50 - 0 33.5 10.5 (0.9, 66.1) 3.18 0.042
100 - 0 37.0 10.5 (4.4, 69.6) 3.51 0.023
150 - 0 45.5 10.5 (12.9, 78.1) 4.31 0.005
200 - 0 37.0 10.5 (4.4, 69.6) 3.51 0.023
100 - 50 3.5 10.5 (-29.1, 36.1) 0.33 0.997
150 - 50 12.0 10.5 (-20.6, 44.6) 1.14 0.785
200 - 50 3.5 10.5 (-29.1, 36.1) 0.33 0.997
150 - 100 8.5 10.5 (-24.1, 41.1) 0.81 0.925
200 - 100 0.0 10.5 (-32.6, 32.6) 0.00 1.000
200 - 150 -8.5 10.5 (-41.1, 24.1) -0.81 0.925

Individual confidence level = 99.25%


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