**Problem 2 - Setup:**This was a greenhouse experiment consisting of a randomized complete block design with each treatment (Solution) replicated once in each block (different Florida Soils). The Neubauer technique was employed to determine the plant available sulfate contents of the surface soils.| Treatment | Troop | Lakeland | Leon | Chipley | Norfolk ||-----------|-------|----------|------|---------|---------|| CaCl2 | 5.07 | 3.31 | 2.54 | 2.34 | 4.71 || NH4OAc | 4.43 | 2.74 | 2.09 | 2.07 | 5.29 || Ca2 | 7.09 | 2.32 | 1.09 | 4.38 | 5.70 || Water | 4.48 | 2.35 | 2.70 | 3.85 | 4.98 |You can find the data set (soil.xlsx) on Blackboard.1. Which statistical model will you use to analyze the soil data? Any assumptions or constraints?2. Construct ANOVA model and perform tests to check if the treatment factor and block factor are significant respectively.

The experiment consists of a randomized block design.The treatments are solutions having 4…

Answered: (1). Which statistical model will you…

MATLAB: An Introduction with Applications

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Author:Amos Gilat

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Chapter1: Starting With Matlab

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Conduct a hypothesis for whether consumption and income are linearly related using ? =0.01. The standard error of the slope is 0.144. Slope = 0.75, Intercept = 0, sample:Income 9, 11, 5, 8, 2, 9, 12Consumption 7, 7, 2, 7, 2, 8, 9 Step 1: State the null and alternative hypotheses.Step 2: Choose the significance level.Step 3: Calculate the test statistic.Step 4: Find the critical value(s).Step 5: Compare the test statistic to the critical value(s).Step 6: State the conclusion.
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The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. The least-squares regression line for these data has equation Ŷ=42.80-0.53x. This line is shown in the scatter plot below. (The 2nd picture contains the rest of the data as it would not fit in the first pic and it includes the question as well.)
Name of the procedure/formula (e.g., ANOVA, Chi-Square, Hypothesis Test using z formula, Regression Analysis, etc.).
Only do D.

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(1). Which statistical model will you use to analyze the soil data? Any assumptions or con- straints? (2). Construct ANOVA model and perform tests to check if the treatment factor and block factor are significant respectively.