/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 25 Exercises 25 to 28 refer to the ... [FREE SOLUTION] | 91Ó°ÊÓ

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Exercises 25 to 28 refer to the following setting. Does the color in which words are printed affect your ability to read them? Do the words themselves affect your ability to name the color in which they are printed? Mr. Starnes designed a study to investigate these questions using the 16 students in his AP \(^{\text {R }}\) Statistics class as subjects. Each student performed two tasks in a random order while a partner timed: ( 1 ) read 32 words aloud as quickly as possible, and ( 2 ) say the color in which each of 32 words is printed as quickly as possible. Try both tasks for yourself using the word list below $$ \begin{array}{llll} \text { YELLOW } & \text { RED } & \text { BLUE } & \text { GREEN } \\ \text { RED } & \text { GREEN } & \text { YELLOW } & \text { YELLOW } \\ \text { GREEN } & \text { RED } & \text { BLUE } & \text { BLUE } \\ \text { YELLOW } & \text { BLUE } & \text { GREEN } & \text { RED } \\ \text { BLUE } & \text { YELLOW } & \text { RED } & \text { RED } \\ \text { RED } & \text { BLUE } & \text { YELLOW } & \text { GREN } \\ \text { BLUE } & \text { GREEN } & \text { GREEN } & \text { BLUE } \\ \text { GREEN } & \text { YELLOW } & \text { RED } & \text { YELLOW } \end{array} $$ Color words (4.2) Let's review the design of the study. (a) Explain why this was an experiment and not an observational study. (b) Did Mr. Starnes use a completely randomized design or a randomized block design? Why do you think he chose this experimental design? (c) Explain the purpose of the random assignment in the context of the study. The data from Mr. Starnes's experiment are shown below. For each subject, the time to perform the two tasks is given to the nearest second. $$ \begin{array}{cccccc} \hline \text { Subject } & \text { Words } & \text { Colors } & \text { Subject } & \text { Words } & \text { Colors } \\ 1 & 13 & 20 & 9 & 10 & 16 \\ 2 & 10 & 21 & 10 & 9 & 13 \\ 3 & 15 & 22 & 11 & 11 & 11 \\ 4 & 12 & 25 & 12 & 17 & 26 \\ 5 & 13 & 17 & 13 & 15 & 20 \\ 6 & 11 & 13 & 14 & 15 & 15 \\ 7 & 14 & 32 & 15 & 12 & 18 \\ 8 & 16 & 21 & 16 & 10 & 18 \\ \hline \end{array} $$

Short Answer

Expert verified
It is an experiment with a completely randomized design. Random assignment controls order-related biases.

Step by step solution

01

Understanding the Study Type

In an experiment, a researcher manipulates one or more variables and controls others to determine their effect on a response variable. In this case, Mr. Starnes assigns the tasks of reading words and naming colors to the students, actively manipulating the order in which tasks are performed to compare the times. This contrasts with an observational study where the researcher merely observes subjects without manipulation.
02

Identifying the Design

Mr. Starnes used a completely randomized design for the experiment. This is because each student performed both tasks in a random order without any blocking based on characteristics such as reading speed or language. A completely randomized design was likely chosen to ensure simplicity and control for order effects without involving more complex grouping.
03

Explaining Random Assignment

Random assignment in this experiment involves randomly deciding the order in which each student performs the two tasks. This helps to ensure that any differences in task performance are due to the order they are conducted and not external variables such as fatigue or learning effects, thus allowing a clearer understanding of the effect of task type and sequence on performance time.

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Key Concepts

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

Random Assignment
Random assignment is a critical element in the setup of experiments. It refers to the process where subjects are randomly assigned to different groups or orders in an experiment.
This randomness helps ensure that any differences observed in outcomes across these groups are due to the variable or condition being tested, rather than some other uncontrolled factor.
In the study designed by Mr. Starnes, random assignment was used to determine the order in which the students performed the tasks.
  • Random assignment balances out unknown factors across different groups or conditions.
  • It minimizes biases that might influence the study outcome.
  • Here, it controls for potential learning effects or fatigue that could skew results if students did the tasks in the same sequence.
By randomly assigning the order of tasks, Mr. Starnes ensured that each sequence had an equal chance of being tested by each student. Thus, any observed differences are more reliably attributed to the tasks themselves and their order.
Completely Randomized Design
A completely randomized design is one of the simplest and most straightforward experimental designs. In this design, all experimental subjects are assigned to treatment conditions randomly.
The goal is to eliminate potential bias by ensuring that the treatment each subject receives does not depend on any characteristic of the subject.
In Mr. Starnes's experiment, each student completed both tasks in a randomly assigned order.
  • No grouping or blocking was done based on any student's potential abilities or characteristics.
  • This design was most likely chosen to maintain simplicity while still providing reliable results.
  • It helps in ensuring that things like prior knowledge or reading speed do not influence the study outcome unduly.
Completely randomized design is effective in studies where subjects are relatively homogeneous or when the number of subjects is enough to handle variability naturally.
Experiment vs. Observational Study
The main distinction between an experiment and an observational study lies in the control and manipulation of variables.
In an experiment, researchers actively intervene to test a hypothesis by manipulating one or more variables and observing the resulting changes.
Mr. Starnes's study is an experiment because he assigned specific tasks (reading words and naming colors) to students in varying orders.
  • He controlled the order of task execution to observe its effect on task performance time.
  • An observational study, on the other hand, would involve merely watching the students complete the tasks without any manipulation of variables.
  • Experiments tend to provide stronger evidence for cause-and-effect relationships due to this level of control.
The deliberate manipulation present in Mr. Starnes’s study exemplifies why it is categorized as an experiment, rather than an observational study.

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Most popular questions from this chapter

Determining tree biomass It is easy to measure the "diameter at breast height" of a tree. It's hard to measure the total "aboveground biomass" of a tree, because to do this you must cut and weigh the tree. The biomass is important for studies of ecology, so ecologists commonly estimate it using a power model. Combining data on 378 trees in tropical rain forests gives this relationship between biomass \(y\) measured in kilograms and diameter \(x\) measured in centimeters: \(^{20}\) $$ \widehat{\ln y}=-2.00+2.42 \ln x $$ Use this model to estimate the biomass of a tropical tree 30 centimeters in diameter. Show your work.

Tattoos (8.2) What percent of U.S. adults have one or more tattoos? The Harris Poll conducted an online survey of 2302 adults during January 2008 . According to the published report, "Respondents for this survey were selected from among those who have agreed to participate in Harris Interactive surveys." 25 The pie chart at top right summarizes the responses from those who were surveyed. Explain why it would not be appropriate to use these data to construct a \(95 \%\) confidence interval for the proportion of all U.S. adults who have tattoos.

Refer to the following setting. About 1100 high school teachers attended a weeklong summer institute for teaching \(\mathrm{AP}^{(\mathrm{(R)}}\) classes. After hearing about the survey in Exercise \(52,\) the teachers in the \(\mathrm{AP}^{(R)}\) Statistics class wondered whether the results of the tattoo survey would be similar for teachers. They designed a survey to find out. The class opted to take a random sample of 100 teachers at the institute. One of the questions on the survey was Do you have any tattoos on your body? (Circle one) YES \(\quad\) NO Tattoos (8.2,9.2) Of the 98 teachers who responded, \(23.5 \%\) said that they had one or more tattoos. (a) Construct and interpret a \(95 \%\) confidence interval for the actual proportion of teachers at the \(\mathrm{AP}^{\otimes}\) institute who would say they had tattoos. (b) Does the interval in part (a) provide convincing evidence that the proportion of teachers at the institute with tattoos is not 0.14 (the value cited in the Harris Poll report)? Justify your answer. (c) Two of the selected teachers refused to respond to the survey. If both of these teachers had responded, could your answer to part (b) have changed? Justify your answer.

Weeds among the corn Lamb's-quarter is a common weed that interferes with the growth of corn. An agriculture researcher planted corn at the same rate in 16 small plots of ground and then weeded the plots by hand to allow a fixed number of lamb'squarter plants to grow in each meter of corn row. The decision of how many of these plants to leave in each plot was made at random. No other weeds were allowed to grow. Here are the yields of corn (bushels per acre) in each of the plots: Some computer output from a least-squares regression analysis on these data is shown below. $$ \begin{array}{lllll} \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & 166.483 & 2.725 & 61.11 & 0.000 \\ \begin{array}{l} \text { Weeds per } \\ \text { meter } \end{array} & -1.0987 & 0.5712 & -1.92 & 0.075 \\ \mathrm{~S}=7.97665 & \mathrm{R}-\mathrm{Sq}=20.9 \% & \mathrm{R}-\mathrm{Sq}(\mathrm{adj}) & =15.3 \% \end{array} $$ (a) What is the equation of the least-squares regression line for predicting corn yield from the number of lamb's quarter plants per meter? Interpret the slope and \(y\) intercept of the regression line in context. (b) Explain what the value of \(s\) means in this setting. (c) Do these data provide convincing evidence at the \(\alpha=0.05\) level that more weeds reduce corn yield? Assume that the conditions for performing inference are met.

Exercises 25 to 28 refer to the following setting. Does the color in which words are printed affect your ability to read them? Do the words themselves affect your ability to name the color in which they are printed? Mr. Starnes designed a study to investigate these questions using the 16 students in his AP \(^{\text {R }}\) Statistics class as subjects. Each student performed two tasks in a random order while a partner timed: ( 1 ) read 32 words aloud as quickly as possible, and ( 2 ) say the color in which each of 32 words is printed as quickly as possible. Try both tasks for yourself using the word list below $$ \begin{array}{llll} \text { YELLOW } & \text { RED } & \text { BLUE } & \text { GREEN } \\ \text { RED } & \text { GREEN } & \text { YELLOW } & \text { YELLOW } \\ \text { GREEN } & \text { RED } & \text { BLUE } & \text { BLUE } \\ \text { YELLOW } & \text { BLUE } & \text { GREEN } & \text { RED } \\ \text { BLUE } & \text { YELLOW } & \text { RED } & \text { RED } \\ \text { RED } & \text { BLUE } & \text { YELLOW } & \text { GREN } \\ \text { BLUE } & \text { GREEN } & \text { GREEN } & \text { BLUE } \\ \text { GREEN } & \text { YELLOW } & \text { RED } & \text { YELLOW } \end{array} $$ Color words (9.3) Explain why it is not safe to use paired \(t\) procedures to do inference about the difference in the mean time to complete the two tasks.

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