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Algal Blooms. Algal blooms have become a recurring problem on many American lakes. Among other things, they can cause damage to a person's liver, kidneys, and nervous system. Phosphorus runoff from farms is one factor that contributes to algal blooms. Will inserting fertilizer into soil rather than spreading it across the surface help reduce runoff? To study this, researchers compare the effects of these two methods of fertilizing fields on the amount of phosphorus in runoff. Specific features of a field, such as slope of the ground and nature of the soil, can affect runoff, so the researchers divide each of four fields into two plots of equal size in such a way that the runoff from each plot can be measured separately. They use a matched pairs design, with the two plots in the same field as the matched pairs. a. Draw a sketch of the four fields, displaying each as a rectangle. Divide each field (rectangle) in half, each half representing one of the two plots. Label the two plots for each field as Plot 1 and Plot \(2 .\) b. Do the randomization required by the matched pairs design. That is, randomly assign the two treatments to the two plots in each field. Mark on your sketch which treatment is used in each plot.

Short Answer

Expert verified
Draw and label fields, then randomize treatments for plots in each field.

Step by step solution

01

Draw the Fields

Start by drawing four rectangles on your paper. Each rectangle will represent one field. Make the rectangles large enough to clearly distinguish between the two plots within each field.
02

Divide Each Field Into Two Plots

Draw a line down the middle of each rectangle (field) to divide it into two equal parts. Each part represents a plot. Label one side as Plot 1 and the other side as Plot 2 for all four fields.
03

Randomize Treatment Assignment

For each of the four fields, we need to randomly assign one of the two treatments (inserting fertilizer vs. surface spreading) to Plot 1 and the other treatment to Plot 2. Use a coin toss, a random number generator, or another random method to determine which plot receives each treatment in every field.
04

Mark Treatments on Sketch

On your drawings, indicate which treatment each plot received. For instance, if Plot 1 in Field 1 receives the inserting fertilizer treatment, write 'Insertion' in Plot 1 of Field 1, and 'Surface' in Plot 2. Repeat the process for each field, marking 'Insertion' and 'Surface' accordingly based on your randomization.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Algal Blooms
Algal blooms occur when algae in water bodies grow rapidly, covering the surface of the water. These blooms can cause significant harm to aquatic ecosystems and even human health.
For example, they may impair liver, kidney, and nervous system functions in humans. Algal blooms are influenced by various factors, with phosphorus runoff being a major contributor.
- Algal blooms deplete the oxygen in water, impacting fish and other aquatic life. - They can produce toxins harmful to humans and animals alike.
Controlling factors like phosphorus runoff can be effective in managing or reducing algal blooms.
Phosphorus Runoff from Farms
Phosphorus is a vital nutrient for plant growth, commonly found in fertilizers. However, when it washes away into water bodies, it can trigger algal blooms.
This process results in phosphorus runoff, where excess phosphorus from farms enters lakes, rivers, and other water bodies. - It is often due to rainfall or irrigation washing fertilizers off the soil surface. - Phosphorus is not highly mobile once it penetrates the soil, which is why the method of fertilizer application is crucial in its runoff potential.
Reducing phosphorus runoff is critical to preventing negative environmental impacts, making the method of fertilizers' application—a focus of study on solutions like inserting fertilizers into soil—essential.
The Role of Randomization in Studies
Randomization is a fundamental concept in experimental studies which ensures fairness in treatment assignments. It's used to distribute traits evenly across treatment groups, enhancing the study's reliability.
In the context of the matched pairs design for phosphorus runoff, randomization involves randomly assigning the fertilizer application methods—either inserting into the soil or surface spreading—to different plots. - This process ensures that each treatment has an equal chance of being applied to each plot, controlling variables such as soil composition within a field. - By eliminating bias, randomization helps provide more accurate and unbiased results.
Simple techniques like coin tosses or random number generators can facilitate this process in practice.
Basics of Experimental Design
An experimental design outlines how to conduct a study, dictating protocol and ensuring valid results. In this exercise, researchers used a matched pairs design. This type of experimental design is effective in comparing treatments within environments that naturally control for extraneous factors.
- Each pair of plots in the same field is considered a matched pair, allowing for direct comparison of the two methods of fertilizer application. - Matched pairs design is particularly useful in controlling variabilities that naturally occur across larger fields, such as soil type or slope.
By dividing fields into plots and applying treatments randomly, researchers can better attribute any differences in phosphorus runoff specifically to the method of fertilizer application, rather than to other environmental factors.

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Most popular questions from this chapter

Shared Pain and Bonding. Alt hough painful experiences are involved in social rituals in many parts of the world, little is known about the social effects of pain. Will sharing painful experiences in a small group lead to greater bonding of group members than sharing a similar nonpainful experience? Twenty- seven of 54 university students in New South Wales, Australia, were assigned at random into a pain group, with the remaining students in the no-pain group. Pain was induced by two tasks. In the first task, students submerged their hands in freezing water for as long as possible, moving metal balls at the bottom of the vessel into a submerged container; in the second task, students performed a standing wall squat with back straight and knees at 90 degrees for as long as possible. The no-pain group completed the first task using room temperature water for 90 seconds, and the second task by balancing on one foot for 60 seconds, changing feet if necessary. In both the pain and no-pain settings, the students completed the tasks in small groups, which typically consisted of four students and contained similar levels of group interaction. Afterward, each student completed a questionnaire to create a bonding score based on answers to questions such as "I feel the participants in this study have a lot in common" or "I feel I can trust the other participants." \(\frac{12}{}\) a. Outline the design of the experiment, following the model of Figure 9.4. b. Explain how you will randomly assign the subjects at random to the two groups and then carry out this randomization using software, the Simple Random Sample applet, or Table B, beginning at line 125 . c. Why do you think the experimenter had students in the no-pain group complete similar pain-free tasks in small groups? Do you think this is important for the type of conclusion that can be reached? Explain.

More Education Improves Driving? Although traffic fatalities have been decreasing for years, this decrease has not been experienced equally in all segments of the population. In fact, although the overall rate of traffic fatalities has been decreasing, the rate has declined the most for those with more education and has actually gone up for those without high school degrees. A recent study shows that among those over 25, as education level increased from less than high school, to high school grad, to some college, to college grad, the rate of motor vehicle crash deaths decreased. \(\underline{2}\) a. What are the explanatory and response variables? b. Those with less education tend to drive cars that are older, have poorer crash test ratings, and have fewer safety features such as side airbags. Are the variables age of car, crash test rating, and presence of safety features explanatory variables, response variables, or lurking variables? Explain your reason. c. Is the association between traffic fatalities and education level good reason to think that a higher level of education actually causes an individual to be a safer driver? Explain why or why not.

Does exposure to aircraft noise increase the risk of hospitalization for cardiovascular disease in older people ( \(\geq 65\) years) residing near airports? Selecting a random sample of approximately 650,000 Medicare claims, it was found that about 75,000 people had zip codes near airports, and the remaining 575,000 did not. The proportions of hospital admissions related to cardiovascular disease were computed for those with zip codes near airports and those who did not have zip codes near airports. A larger proportion of admissions for cardiovascular disease was found for older people living in zip codes near airports. Which of the following statements is correct? a. Since this is an observational study, living in a zip code near an airport may or may not be causing the increase in the proportions of admissions for cardiovascular disease. b. Because of the large sample sizes from each group, we can claim that living in a zip code near an airport is causing the increase in the proportion of admissions for cardiovascular disease. c. Because this is an experiment, although not a randomized experiment, we can still conclude that living in a zip code near an airport is causing the increase in the proportions of admissions for cardiovascular disease.

The Community Intervention Trial for Smoking Cessation asked whether a community-wide advertising campaign would reduce smoking. The researchers located 11 pairs of communities, with each pair similar in location, size, economic status, and so on. One community in each pair was chosen at random to participate in the advertising campaign and the other was not. This is a. an observational study. b. a matched pairs experiment. c. a completely randomized experiment.

Quick Randomizing. Here's a quick and easy way to randomize. You have 100 subjects: 50 adults under the age of 65 and 50 who are 65 or older. Toss a coin. If it's heads, assign all the adults under the age of 65 to the treatment group and all those 65 and over to the control group. If the coin comes up tails, assign all those 65 and over to treatment and all those under the age of 65 to the control group. This gives every individual subject a \(50-50\) chance of being assigned to treatment or control. Why isn't this a good way to randomly assign subjects to treatment groups?

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