Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

In Exercise \(1.18,\) we ask whether experiences of parents can affect future children, and describe a study that suggests the answer is yes. A second study, described in the same reference, shows similar effects. Young female mice were assigned to either live for two weeks in an enriched environment or not. Matching what has been seen in other similar experiments, the adult mice who had been exposed to an enriched environment were smarter (in the sense that they learned how to navigate mazes faster) than the mice that did not have that experience. The other interesting result, however, was that the offspring of the mice exposed to the enriched environment were also smarter than the offspring of the other mice, even though none of the offspring were exposed to an enriched environment themselves. What are the two main variables in this study? Is each categorical or quantitative? Identify explanatory and response variables.

Short Answer

Expert verified
The two main variables are 'living conditions' and 'intelligence', the former being categorical and the latter being quantitative. The explanatory variable is 'living conditions' and the response variable is 'intelligence'.

Step by step solution

01

Identify Main Variables

The first step in answering this question is to determine the two main variables in the study. In this case, they are the 'living conditions' and 'intelligence (speed in navigating mazes)' of the mice.
02

Classify Variables as Categorical or Quantitative

The next step is to determine whether each variable is categorical or quantitative. The 'living conditions' variable is categorical because it can be divided into two distinct categories: mice that lived in an enriched environment and mice that did not. The 'intelligence' variable is quantitative because it can be measured by how quickly the mice navigate mazes.
03

Identify Explanatory and Response Variables

The final step is to identify which of the variables is explanatory and which is the response. Here, the 'living conditions' variable is explanatory because it explains or can have an effect on the response variable. Therefore, the 'intelligence' variable is the response because it responds to or can be affected by the explanatory variable.

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 Vaia!

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

State whether or not the sampling method described produces a random sample from the given population. The population is the approximately 25,000 protein-coding genes in human DNA. Each gene is assigned a number (from 1 to 25,000 ), and computer software is used to randomly select 100 of these numbers yielding a sample of 100 genes.

Causation does not necessarily mean that there is no confounding variable. Give an example of an association between two variables that have a causal relationship AND have a confounding variable.

Exercise 1.59 on page 28 introduced a study on cat videos, in which people who clicked on the link were asked questions regarding their mood before and after the most recent time they watched a cat video. Overall, participants reported that after watching a cat video they had significantly more energy, fewer negative emotions, and more positive emotions. Can we conclude from this study that watching cat videos increases energy and improves emotional state?

About \(60 \%\) of a child's growth hormone is secreted during sleep, so it is believed that a lack of sleep in children might stunt growth. \(^{63}\) (a) What is the explanatory variable and what is the response variable in this association? (b) Describe a randomized comparative experiment to test this association. (c) Explain why it is difficult (and unethical) to get objective verification of this possible causal relationship.

Describe an association between two variables. Give a confounding variable that may help to account for this association. More ice cream sales have been linked to more deaths by drowning.

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.

Sign-up for free