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Chapter 10: Problem 3

Computer gaming Do experienced computer game players earn higher scores when they play with someone present to cheer them on or when they play alone? Fifty teenagers who are experienced at playing a particular computer game have volunteered for a study. We randomly assign 25 of them to play the game alone and the other 25 to play the game with a supporter present. Each player鈥檚 score is recorded. (a) Is this a problem about comparing means or comparing proportions? Explain. (b) What type of study design is being used to produce data?

Short Answer

Expert verified
(a) Comparing means; (b) Controlled experimental study.

Step by step solution

01

Identify the Type of Comparison

This problem is about comparing the scores of two different groups of game players: those who play alone and those who play with a supporter. We are comparing numerical values (scores), which implies a comparison of means. Thus, this is a problem about comparing means of two groups.
02

Identify the Study Design

The study involves randomly assigning participants to two different groups and recording their scores to compare the effects of playing alone versus playing with a supporter. This indicates it's a controlled experimental study where the independent variable (presence of a supporter) is manipulated.

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Key Concepts

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

Experimental Design
Experimental design is a crucial process in scientific research that helps researchers set up a study systematically to answer specific questions. In the context of our computer gaming example, the experiment is set to determine whether encouragement affects gaming performance. To carry out this study, researchers design a setup where the conditions, such as having or not having a supporter present, are carefully controlled.
To ensure the reliability of the results, participants are randomly assigned to two different groups: one that plays the game alone and another with a supporter present. Random assignment is a fundamental aspect of experimental design because it eliminates biases and helps evenly distribute characteristics that could influence the game's scores across both groups. By controlling variables and utilizing randomization, the study effectively isolates the independent variable, enabling clear observation of its impact.
Mean Comparison
In any study involving numerical data, comparing means is a statistical method used to evaluate the differences between two or more groups. In our exercise, the main focus is on comparing the scores (numerical values) from two groups: players with supporters and those without.
By calculating the mean score, which is found by totaling all the scores in a group and then dividing by the number of participants, researchers can easily compare which group performed better on average. This process helps identify significant differences and draw conclusions about the impact of the independent variable on the dependent variable, which in this case, are the scores.
Control Group
A control group is an essential component of many experimental designs. It is used as a benchmark to measure the effects and significance of changes in the experimental condition. In our computer game study, the participants playing alone act as the control group.
The role of this group is to serve as a comparison for the experimental group, which is playing with a supporter present. This setup allows researchers to observe what the usual performance looks like without the experiment's manipulated variable鈥攊n this case, the presence of a supporter鈥攊mpacting it. By comparing the control group to the experimental group, researchers aim to isolate and understand the effect supporters may have on gaming performance.
Independent Variable
The independent variable is a crucial element of experimental research, representing the factor that is intentionally changed or controlled by researchers to study its effect on the dependent variable. In the computer gaming study, the presence of a supporter is the independent variable.
Researchers manipulate this variable to see if it affects the dependent variable, which is the player's game score. By systematically changing the conditions for the two groups (with versus without supporter), researchers can observe how these variations impact performance. This isolation of variables helps provide clearer insights into the relationship between encouragement and gaming performance.

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