two pictures please answer all parts. fill in square boxes and the rest... Score
ID: 3358127 • Letter: T
Question
two pictures please answer all parts. fill in square boxes and the rest...
Score: 13 A Aa 18. Chapter 10, Problem 14 of In a study showing that handling money reduces the perception pain (Zhou, Vohs, & Baumeister, 2009), a group were participating in a manual dexterity study. Half of the students were given a of money to count and the other half got a stack of blank pieces of paper. After the counting task, the were asked to dip their hands into bowls of very hot water (122°F) and rate how uncomfortable it was. The following data represent results similar to those obtained in the study Counting Money Counting Paper 9 10 6 8 13 10 9 15 14 10 12 Is there a significant difference in reported pain between the two condit ons? Use a two-tailed test with or·-01. (Use three decimal places for the standard error and the critical values, two for the other entries.)Explanation / Answer
Solution:
Here, we have to use two sample t test for the population means assuming equal population variances. The null and alternative hypotheses for this test are given as below:
H0: µ1 = µ2 Versus Ha: µ1 µ2
This is a two tailed test.
We are given a level of significance or alpha value as 0.01.
= 0.01
We are given
Population 1 Sample
Sample Size
9
Sample Mean
7.555556
Sample Standard Deviation
2.297341
Population 2 Sample
Sample Size
9
Sample Mean
11.33333
Sample Standard Deviation
2.179449
Population 1 Sample Degrees of Freedom
8
Population 2 Sample Degrees of Freedom
8
Total Degrees of Freedom
16
Pooled variance = Sp2 = [((N1 – 1)S1^2 + (N2 – 1)S2^2)/(N1 + N2 – 2)]
Pooled variance = Sp2 =[(8*2.297341^2 + 8*2.179449^2)/16]
Pooled variance = Sp2 = 5.0139
Standard error = sqrt[Sp2 ((1/N1)+(1/N2))]
Standard error = sqrt[5.0139*((1/9)+(1/9))]
Standard error = 1.0556
Test statistic formula is given as below:
t = (X1bar – X2bar) / sqrt[Sp2 ((1/N1)+(1/N2))]
Where, Sp2 = [((N1 – 1)S1^2 + (N2 – 1)S2^2)/(N1 + N2 – 2)]
(X1bar – X2bar) = 7.555556 - 11.33333 = -3.7778
t = -3.7778 / 1.0556
t = -3.5789
Critical value = 2.9208 (by using t-table)
P-value = 0.0025 (by using t-table)
P-value < = 0.01
So, we reject the null hypothesis
Conclusion:
Reject the null hypothesis; there is a significant difference in the amount of pain experienced after counting money versus counting paper.
Population 1 Sample
Sample Size
9
Sample Mean
7.555556
Sample Standard Deviation
2.297341
Population 2 Sample
Sample Size
9
Sample Mean
11.33333
Sample Standard Deviation
2.179449
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