/*! 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 59 The paper "The Effect of Multita... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

The paper "The Effect of Multitasking on the Grade Performance of Business Students" (Research in Higher Education Journal [2010]: 1-10) describes an experiment in which 62 undergraduate business students were randomly assigned to one of two experimental groups. Students in one group were asked to listen to a lecture but were told that they were permitted to use cell phones to send text messages during the lecture. Students in the second group listened to the same lecture but were not permitted to send text messages during the lecture. Afterwards, students in both groups took a quiz on material covered in the lecture. The researchers reported that the mean quiz score for students in the texting group was significantly lower than the mean quiz score for students in the no-texting group. In the context of this experiment, explain what it means to say that the texting group mean was significantly lower than the no-text group mean. (Hint: See discussion on page \(662 .\) )

Short Answer

Expert verified
In the experiment, the mean quiz score of the texting group was significantly lower than the no-texting group, meaning that there is a statistically significant difference between the two groups' average quiz scores. This result implies that the observed difference is likely not due to chance but to the negative impact of multitasking with cell phones during the lecture, as it is unlikely to be a random occurrence.

Step by step solution

01

1. Understand the context and the experiment

The experiment was designed to study the effect of multitasking on the grade performance of undergraduate business students. Two groups of students were involved: one was allowed to text during the lecture, while the other was not. Both groups took a quiz afterward, and their average quiz scores were compared.
02

2. Define the concept of significantly lower mean

When we say that the texting group's mean was significantly lower than the no-texting group's mean, we mean that there is a statistically significant difference between the two group's average quiz scores. In other words, the observed difference is likely not due to chance or random variation, but rather to a real underlying effect - in this case, the negative impact of multitasking with cell phones during the lecture.
03

3. Statistical significance in the experiment

In this experiment, statistical significance refers to the probability that the observed difference in mean quiz scores between the two groups is due to chance alone or due to a genuine underlying effect. A lower probability indicates stronger evidence that the observed difference is real and not due to chance. Researchers often set a significance level threshold (e.g., 0.05 or 5%) to determine whether the observed difference can be considered statistically significant.
04

4. Interpret significance in the context of the experiment

The researchers in the study reported that the mean quiz score for students in the texting group was significantly lower than the mean quiz score for students in the no-texting group. This finding suggests that allowing students to send text messages during the lecture has a negative impact on their quiz performance. By stating that the difference is statistically significant, the researchers imply that this effect is unlikely due to random chance and that it may be a real consequence of the texting behavior during lectures.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

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

Multitasking in Education
In today's fast-paced educational environments, students often find themselves juggling multiple tasks at once. This is commonly referred to as multitasking, and it typically involves activities such as switching between listening to a lecture and responding to texts. However, studies like the one described in the exercise indicate that multitasking can have detrimental effects on learning outcomes.
When students try to focus on both a lecture and text messaging, their attention is divided. This split can cause significant drops in their ability to absorb and retain information presented in the lecture. The main issue with multitasking is that human brains are not designed to focus on two demanding tasks simultaneously.
Key points to understand about multitasking in education are:
  • It often leads to decreased performance in main tasks, such as learning and understanding complex material.
  • Divided attention can lead to missing critical information during lectures as the brain struggles to switch contexts effectively.
  • Long-term retention of material can be compromised, affecting academic performance negatively over time.
Students should be cautious about splitting their attention between academic content and non-academic activities simultaneously.
Experimental Design
Experimental design is crucial in research for providing valid and reliable conclusions. In the study outlined, researchers used a randomized controlled experiment to examine the impact of multitasking on students' performance. This type of design is effective for determining cause-and-effect relationships.
In this experiment, 62 students were randomly assigned to either the texting or no-texting group. By randomizing participants, the researchers minimized the risk of bias and ensured that any observed differences in quiz scores were likely due to the experimental conditions rather than pre-existing differences between the groups.
Important elements of a solid experimental design include:
  • Random Assignment: Ensures that each participant has an equal chance of being placed in any group, reducing bias.
  • Control Group: Provides a baseline for comparison to see the effect of the experimental variable.
  • Replication: Increases the reliability and validity of results by demonstrating that outcomes are consistent across multiple trials.
With careful planning and execution, experimental design helps researchers confidently determine the effects of multitasking in educational settings.
Impact of Technology on Learning
Technology permeates every aspect of modern education, often enhancing learning experiences. However, as the exercise demonstrates, technology can also create challenges, particularly when it enables multitasking behaviors like texting during lectures.
The presence of technology in the classroom can sometimes distract students more than it helps. For instance, when students use cell phones for non-academic purposes, it distracts them from engaging fully with educational material. This can lead to reduced comprehension and lower performance, as evidenced by the lower quiz scores in students who texted during lectures.
The impact of technology on learning can be both positive and negative, involving factors such as:
  • Engagement: Properly integrated technology can make learning more interactive and engaging.
  • Distraction: Easy access to non-educational content can divert attention away from instructional goals.
  • Accessibility: Technology can provide broader access to information and educational resources, but may also lead to reliance on devices.
Educators need to find a balance to reap the benefits of technology while minimizing its distracting potential.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Breast feeding sometimes results in a temporary loss of bone mass as calcium is depleted in the mother's body to provide for milk production. The paper "Bone Mass Is Recovered from Lactation to Postweaning in Adolescent Mothers with Low Calcium Intakes" (American Journal of Clinical Nutrition [2004]: 1322-1326) gave the accompanying data on total body bone mineral content (in grams) for a representative sample of mothers both during breast feeding (B) and in the post-weaning period (P). Use a \(95 \%\) confidence interval to estimate the difference in mean total body bone mineral content during post- weaning and during breast feeding.

A researcher at the Medical College of Virginia conducted a study of 60 randomly selected male soccer players and concluded that players who frequently "head" the ball have a lower mean IQ than those who do not (USA TODAY, August 14,1995 ). The soccer players were divided into two groups, based on whether they averaged 10 or more headers per game. Mean IQs were reported in the article, but the sample sizes and standard deviations were not given. Suppose that these values were as given in the accompanying table. Do these data support the researcher's conclusion? Test the relevant hypotheses using \(\alpha=0.05 .\) Can you conclude that heading the ball causes lower IQ? Explain.

The National Sleep Foundation surveyed representative samples of adults in six different countries to ask questions about sleeping habits ("2013 International Bedroom Poll Summary of Findings," www.sleepfoundation.org/sites /default/files/RPT495a.pdf, retrieved May 20,2017 ). Each person in a representative sample of 250 adults in each of these countries was asked how much sleep they get on a typical work night. For the United States, the sample mean was 391 minutes, and for Mexico the sample mean was 426 minutes. Suppose that the sample standard deviations were 30 minutes for the U.S. sample and 40 minutes for the Mexico sample. The report concludes that on average, adults in the United States get less sleep on work nights than adults in Mexico. Is this a reasonable conclusion? Support your answer with an appropriate hypothesis test.

Can moving their hands help children learn math? This question was investigated in the paper "Gesturing Gives Children New Ideas About Math" (Psychological Science [2009]: \(267-272\) ). Eighty-five children in the third and fourth grades who did not answer any questions correctly on a test with six problems of the form \(3+2+8=-8\) were participants in an experiment. The children were randomly assigned to either a no-gesture group or a gesture group. All the children were given a lesson on how to solve problems of this form using the stratcgy of trying to make both sides of the equation equal. Children in the gesture group were also taught to point to the first two numbers on the left side of the equation with the index and middle linger of one hand and then to point at the blank on the right side ol the equation. This gesture was supposed to emphasize that grouping is involved in solving the problem. The children then practiced udditional problems of this type. All children were then given a test with six problems to solve, and the number of correct answers was recorded for each child. Summary statistics are given below. Is there evidence that learning the gesturing approach to solving problems of this type results in a significantly higher mean number of correct responses? Test the relevant hypotheses using \(\alpha=0.05\).

The article "Plugged \(\mathrm{In}\), but Tuned Out" (USA TODAY, January 20,2010 ) summarizes data from two surveys of kids age 8 to 18. One survey was conducted in 1999 and the other was conducted in \(2009 .\) Data on number of hours per day spent using electronic media, consistent with summary quantities in the article, are given (the actual sample sizes for the two surveys were much larger). For purposes of this exercise, you can assume that the two samples are representative of kids age 8 to 18 in each of the 2 years when the surveys were conducted. $$ \begin{array}{rrrrrrrrrrrrr} \mathbf{2 0 0 9} & 5 & 9 & 5 & 8 & 7 & 6 & 7 & 9 & 7 & 9 & 6 & 9 \\ & 10 & 9 & 8 & & & & & & & & & \\ \mathbf{1 9 9 9} & 4 & 5 & 7 & 7 & 5 & 7 & 5 & 6 & 5 & 6 & 7 & 8 \\ & 5 & 6 & 6 & & & & & & & & & \end{array} $$ a. Because the given sample sizes are small, what assumption must be made about the distributions of electronic media use times for the two-sample \(t\) test to be appropriate? Use the given data to construct graphical displays that would be useful in determining whether this assumption is reasonable. Do you think it is reasonable to use these data to carry out a two-sample \(t\) test? b. Do the given data provide convincing evidence that the mean number of hours per day spent using electronic media was greater in 2009 than in \(1999 ?\) Test the relevant hypotheses using a significance level of \(\alpha=0.01\).

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.