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The article "Growth Response in Radish to Sequential and Simultaneous Exposures of \(\mathrm{NO}_{2}\) and \(\mathrm{SO}_{2} "(\) Environmental Pollution \([1984]: 303-325\) ) compared a control group (no exposure), a sequential exposure group (plants exposed to one pollutant followed by exposure to the second four weeks later), and a simultaneous-exposure group (plants exposed to both pollutants at the same time). The article states, "Sequential exposure to the two pollutants had no effect on growth compared to the control. Simultaneous exposure to the gases significantly reduced plant growth." Let \(\bar{x}_{1}, \bar{x}_{2}\), and \(\bar{x}_{3}\) represent the sample means for the control, sequential, and simultaneous groups, respectively. Suppose that \(\bar{x}_{1}>\bar{x}_{2}>\bar{x}_{3}\). Use the given information to construct a table where the sample means are listed in increasing order, with those that are judged not to be significantly different underscored. \(15.30\) The nutritional quality of shrubs commonly used for feed by rabbits was the focus of a study summarized in the article "Estimation of Browse by Size Classes for Snowshoe Hare" (Journal of Wildlife Management [1980]: \(34-40\) ). The energy content \((\mathrm{cal} / \mathrm{g})\) of three sizes \((4 \mathrm{~mm}\) or less, \(5-7 \mathrm{~mm}\), and \(8-10 \mathrm{~mm}\) ) of serviceberries was studied. Let \(\mu_{1}, \mu_{2}\), and \(\mu_{3}\) denote the true energy content for the three size classes. Suppose that \(95 \%\) simultaneous confidence intervals for \(\mu_{1}-\mu_{2}, \mu_{1}-\mu_{3}\), and \(\mu_{2}-\mu_{3}\) are \((-10,290),(150,450)\), and \((10,310)\), respectively. How would you interpret these intervals?

Short Answer

Expert verified
The table for the first exercise portion would have, in increasing order, the simultaneous exposure group mean, the sequential group mean (underlined, as there is no significant effect compared to the control), followed by the control group mean. For the second part of the exercise, it's inferred that the true energy content for size 1 and size 2 aren't significantly different, but both are significantly greater than the energy content of size 3.

Step by step solution

01

Organize given information of exercise part 1

Given that \(\bar{x}_{1}> \bar{x}_{2} > \bar{x}_{3}\). Considering the details of the problem, the table should look as follows:
02

Construct the table

In the table, the samples means are in increasing order starting from \(\bar{x}_{3}\), \(\bar{x}_{2}\), and \(\bar{x}_{3}\): \n\n Simultaneous Exposure: \(\bar{x}_{3}\) \n Sequential Exposure: \(\bar{x}_{2}\) (underscored because it's not significantly different from the control group) \n Control: \(\bar{x}_{1}\) \n\n The fact that \(\bar{x}_{2}\) is underscored indicates that it is not significantly different from the control.
03

Interpret intervals of exercise part 2

Given that the confidence intervals for \(\mu_{1}-\mu_{2}, \mu_{1}-\mu_{3}\), and \(\mu_{2}-\mu_{3}\) are \((-10,290),(150,450)\), and \((10,310)\), respectively. This correspond to the difference in mean energy contents between the size classes. Negative values mean the first one specified is smaller, and positive that it is larger.
04

Compare the intervals

If zero is not in the confidence interval for the difference between two means, then this suggests the means are significantly different. Hence: \n\n - \( \mu_1\) and \( \mu_2\) are not significantly different because both negative and positive differences are plausible (the confidence interval contains 0). \n\n - \( \mu_1\) is significantly greater than \( \mu_3\) because the confidence interval for their difference does not contain 0. \n\n - \( \mu_2\) is significantly greater than \( \mu_3\) because the confidence interval for their difference does not contain 0.

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Most popular questions from this chapter

It has been reported that varying work schedules can lead to a variety of health problems for workers. The article "Nutrient Intake in Day Workers and Shift Workers" (Work and Stress [1994]: 332-342) reported on blood glucose levels (mmol/L) for day-shift workers and workers on two different types of rotating shifts. The sample sizes were \(n_{1}=37\) for the day shift, \(n_{2}=34\) for the second shift, and \(n_{3}=25\) for the third shift. A single- factor ANOVA resulted in \(F=3.834\). At a significance level of .05, does true average blood glucose level appear to depend on the type of shift?

Give as much information as you can about the \(P\) -value of the single-factor ANOVA \(F\) test in each of the following situations. a. \(k=5, n_{1}=n_{2} \equiv n_{3}=n_{4}=n_{5}=4, F=5.37\) b. \(k=5, n_{1}=n_{2}=n_{3}=5, n_{4}=n_{5}=4, F=2.83\) c. \(k=3, n_{1}=4, n_{2}=5, n_{3}=6, F=5.02\) d. \(k=3, n_{1}=n_{2}=4, n_{3}=6, F=15.90\) e. \(k=4, n_{1}=n_{2}=15, n_{3}=12, n_{4}=10, F=1.75\)

An investigation carried out to study purchasers of luxury automobiles reported data on a number of different attributes that might affect purchase decisions, including comfort, safety, styling, durability, and reliability ("Measuring Values Can Sharpen Segmentation in the Luxury Car Market," Journal of Advertising Research \([1995]: 9-\) 22). Here is summary information on the level of importance of speed, rated on a seven-point scale: $$ \begin{array}{lccc} \text { Type of Car } & \text { American } & \text { German } & \text { Japanese } \\ \hline \text { Sample size } & 58 & 38 & 59 \\ \text { Sample mean rating } & 3.05 & 2.87 & 2.67 \end{array} $$ In addition, \(\mathrm{SSE}=459.04\). Carry out a hypothesis test to determine if there is sufficient evidence to conclude that the mean importance rating of speed is not the same for owners of these three types of cars.

The degree of success at mastering a skill often depends on the method used to learn the skill. The article "Effects of Occluded Vision and Imagery on Putting Golf Balls" (Perceptual and Motor Skills [1995]: \(179-186\) ) reported on a study involving the following four learning methods: (1) visual contact and imagery, (2) nonvisual contact and imagery, (3) visual contact, and (4) control. There were 20 subjects randomly assigned to each method. The following summary information on putting performance score was reported: $$\begin{array}{cccccc} \text { Method } & 1 & 2 & 3 & 4 & \\ \hline \bar{x} & 16.30 & 15.25 & 12.05 & 9.30 & \overline{\bar{x}}=13.23 \\ s & 2.03 & 3.23 & 2.91 & 2.85 & \end{array}$$ a. Is there sufficient evidence to conclude the mean putting performance score is not the same for the four methods? b. Calculate the \(95 \%\) T-K intervals, and then use the underscoring procedure described in this section to identify significant differences among the learning methods.

The nutritional quality of shrubs commonly used for feed by rabbits was the focus of a study summarized in the article "Estimation of Browse by Size Classes for Snowshoe Hare" (Journal of Wildlife Management [1980]: 34-40). The energy content (cal/g) of three sizes (4 mm or less, \(5-7 \mathrm{~mm}\), and \(8-10 \mathrm{~mm}\) ) of serviceberries was studied. Let \(\mu_{1}, \mu_{2}\), and \(\mu_{3}\) denote the true energy content for the three size classes. Suppose that \(95 \%\) simultaneous confidence intervals for \(\mu_{1}-\mu_{2}, \mu_{1}-\mu_{3}\), and \(\mu_{2}-\mu_{3}\) are \((-10,290),(150,450)\), and \((10,310)\), respectively. How would you interpret these intervals?

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