Opinion and answer of module 4,2

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Re:Module 4 DQ 2 Terrance

With the experiment evaluating learning effect on 6th graders by background noise. Mary proposes the theory that learning is affected when there is background noise. Testing this hypothesis will require setting of conditions. To support her theory Mary is proposing a null hypothesis that background noise has no affect to learning. An alternate hypothesis will be from inferential testing utilizing a t-test. The selection independent t-test is valid as the measure is with one IV with two conditions. The dependent variable (Learning of 6th graders) will be measured on a continuous scale effect from one IV (background noise) in a homogeneous group from a normal distribution. For testing this hypothesis Mary will create data and conditions. Conditions A would be a group with a strategy of doing repeating a math lesson taught by teacher with experiment on the board and with a book in front of them, listening to the instructor through earphones.  The second condition will be with the same set of students utilizing a math lesson of the same merit with no earphones and with the sounds of the classroom and outside with the window open and in the school itself. At the conclusion of the lesson with the earphones on the students will answer 5 questions pertaining to the lesson. Students that completed more than 3 correct will be given an ordinal level of 2, ones that get less than 3 will get an ordinal level of 1. How many students got ones and how many got twos within the controlled condition of no noise will measure against the condition with noise.  The mean frequency of 6th graders that have gotten a (1) or a (2) with no noise compared with the mean frequency that pass with noise the Ho and H1 should not be equal.

N=20

Df=19

M=14

Ho=10

Sm=4

T=2

With a T of 2 the Alternate Hypothesis is supported and the null hypothesis is rejected with Mary showing outside of 95% of the 6th graders have an effect in their learning by the noise.

We set the level of significance at alpha = .05 p=1.729 (One tailed)

The mean difference was significant, t (19) =2.00, p < .05, d =1.73.

Reference:

Gravetter, F. J. & Wallnau, L. B. (2010). Statistics for the behavioral sciences (9th ed.). Belmont, CA: Wadsworth Cengage Learning.

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