A researcher conducts a study comparing two different treatments with a sample of n = 16 participants in each treatment. The study produced the following data:Treatment 1 = 6, 7, 11, 4, 19, 17, 2, 5, 9, 13, 6, 23, 11, 4, 6, 1Treatment 2 = 10, 9, 6, 6, 1, 11, 8, 6, 3, 2, 11, 1, 12, 7, 10, 9a) calculate the mean for each treatment based on the means, which treatment produces the higher scores? b) calculate the median for each treatment based on the median, which treatment produces higher scores? c) calculate the mode for each treatment based on the mode, which treatment produces the higher scores?

Answered: The study produced the following data:…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A researcher conducts a study comparing two different treatments with a sample of n = 16 participants in each treatment. The study produced the following data:

Treatment 1 = 6, 7, 11, 4, 19, 17, 2, 5, 9, 13, 6, 23, 11, 4, 6, 1

Treatment 2 = 10, 9, 6, 6, 1, 11, 8, 6, 3, 2, 11, 1, 12, 7, 10, 9

a) calculate the mean for each treatment based on the means, which treatment produces the higher scores?
b) calculate the median for each treatment based on the median, which treatment produces higher scores?

c) calculate the mode for each treatment based on the mode, which treatment produces the higher scores?

Definition Definition Measure of central tendency that is the value that occurs most frequently in a data set. A data set may have more than one mode if multiple categories repeat an equal number of times. For example, in a data set with five item—3, 5, 5, 29, 473—the mode is 5 because it occurs twice and no other value occurs more than once. On a histogram or bar chart, the element with the highest bar represents the mode. Therefore, the mode is sometimes considered the most popular option. The mode is useful for nominal or categorical data (e.g., the most common color car that users purchase), but it is problematic for continuous data because it is more likely not to have any value that is more frequent than the other.

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