In a study attempting to replicate findings by Stephens, Atkins, & Kingston (2009), each participant was asked to plunge a hand into the icy water and keep it there as long as the pain would allow. In one condition, the participants repeated their favorite curse words while their hands were in the water. In the other condition, they repeated neutral words. The original research showed that, in addition to lowering the participants’ perception of pain, swearing also increased the amount of time they were able to tolerate the pain. Data similar to the results obtained in the study are shown in the following table: _____________Amount of Time (in Seconds)_                Participant            Swear Words     Neutral Words                1                                              94                           59 2                                              70                           61 3                                              52                           47 4                                              83                           60 5                                              46                           35           6                                              117                         92 7                                              69                           53           8                                              39                           30 9                                              51                           56 10                                           73                           61                Calculate MD. Calculate standard error. Find t. Find df. State the null hypothesis, assuming a two-tailed test. Find tcritical if α = 0.05, two-tailed. Based on these data and the t-statistic you calculated, do we have enough evidence to conclude that there is a significant difference between treatment conditions? Compute r2 (percent variance accounted for) as a measure of treatment effect size.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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In a study attempting to replicate findings by Stephens, Atkins, & Kingston (2009), each participant was asked to plunge a hand into the icy water and keep it there as long as the pain would allow. In one condition, the participants repeated their favorite curse words while their hands were in the water. In the other condition, they repeated neutral words. The original research showed that, in addition to lowering the participants’ perception of pain, swearing also increased the amount of time they were able to tolerate the pain. Data similar to the results obtained in the study are shown in the following table:

_____________Amount of Time (in Seconds)_               

Participant            Swear Words     Neutral Words               

1                                              94                           59

2                                              70                           61

3                                              52                           47

4                                              83                           60

5                                              46                           35          

6                                              117                         92

7                                              69                           53          

8                                              39                           30

9                                              51                           56

10                                           73                           61           

 

 

Calculate MD.

Calculate standard error.

Find t.

Find df.

State the null hypothesis, assuming a two-tailed test.

Find tcritical if α = 0.05, two-tailed.

Based on these data and the t-statistic you calculated, do we have enough evidence to conclude that there is a significant difference between treatment conditions?

Compute r(percent variance accounted for) as a measure of treatment effect size.

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