Visceral factors that require us to engage in self‐control (such as a filling bladder) can affect our inhibitory abilities in unrelated domains. In a fascinating study by Tuk, Trampe, and Warlop (2011), participants were given five cups of water: one group was asked to drink them all, whereas another was asked to take a sip from each. This manipulation led one group to have full bladders (high urgency group, coded 1 in the spreadsheet) and the other group relatively empty bladders (low urgency group coded 2 in the spreadsheet). The values for all individuals in these two groups are in the column Drink_Group. Later on, these participants were given eight trials in which they had to choose between a small financial reward that they would receive soon (SS) or a large financial reward for which they would wait longer (LL). They counted how many trials participants choose the LL reward as an indicator of inhibitory control. These values are available in the column LL_Sum. Conduct a statistical analysis to see whether people with full bladders are inhibited more than those without. ID,Drink_Group,LL_Sum 1,1,6 2,1,7 3,2,6 4,1,3 5,2,3 6,1,5 7,2,3 8,1,7 9,2,2 10,1,5 11,2,5 12,2,7 13,1,2 14,2,7 15,1,4 16,2,3 17,1,4 18,2,0 19,1,7 20,2,3 21,2,2 22,1,3 23,2,4 24,1,3 25,2,4 26,1,3 27,1,4 28,2,2 29,2,3 30,1,5 31,1,5 32,2,4 33,1,3 34,1,5 35,2,3 36,2,4 37,1,3 38,1,6 39,2,7 40,1,3 41,2,3 42,1,3 43,2,4 44,1,7 45,2,4 46,1,4 47,2,2 48,1,4 49,2,7 50,1,3 51,2,3 52,2,3 53,1,3 54,2,5 55,2,3 56,2,4 57,1,3 58,1,7 59,2,4 60,1,5 61,1,5 62,2,3 63,1,5 64,1,5 65,1,2 66,2,4 67,1,7 68,2,5 69,1,2 70,2,5 71,1,2 72,2,4 73,1,4 74,2,3 75,1,6 76,2,3 77,2,3 78,1,6 79,2,3 80,2,3 81,1,7 82,2,4 83,2,3 84,1,6 85,2,2 86,2,3 87,2,4 88,2,3 89,1,5 90,2,7 91,2,3 92,1,3 93,2,5 94,1,6 95,2,4 96,1,5 97,2,6 98,1,7 99,1,3 100,2,5 101,1,3 102,1,4 Identify the appropriate statistical test for this study and explain why this test was the most appropriate Do you have enough evidence to reject the null hypothesis for this analysis? Explain your answer using the 95% confidence interval. (Your answer should include the calculation). Using this example, explain the difference between p-values and confidence intervals in hypothesis testing
Visceral factors that require us to engage in self‐control (such as a filling bladder) can affect our inhibitory abilities in unrelated domains. In a fascinating study by Tuk, Trampe, and Warlop (2011), participants were given five cups of water: one group was asked to drink them all, whereas another was asked to take a sip from each. This manipulation led one group to have full bladders (high urgency group, coded 1 in the spreadsheet) and the other group relatively empty bladders (low urgency group coded 2 in the spreadsheet). The values for all individuals in these two groups are in the column Drink_Group. Later on, these participants were given eight trials in which they had to choose between a small financial reward that they would receive soon (SS) or a large financial reward for which they would wait longer (LL). They counted how many trials participants choose the LL reward as an indicator of inhibitory control. These values are available in the column LL_Sum. Conduct a statistical analysis to see whether people with full bladders are inhibited more than those without.
ID,Drink_Group,LL_Sum
1,1,6
2,1,7
3,2,6
4,1,3
5,2,3
6,1,5
7,2,3
8,1,7
9,2,2
10,1,5
11,2,5
12,2,7
13,1,2
14,2,7
15,1,4
16,2,3
17,1,4
18,2,0
19,1,7
20,2,3
21,2,2
22,1,3
23,2,4
24,1,3
25,2,4
26,1,3
27,1,4
28,2,2
29,2,3
30,1,5
31,1,5
32,2,4
33,1,3
34,1,5
35,2,3
36,2,4
37,1,3
38,1,6
39,2,7
40,1,3
41,2,3
42,1,3
43,2,4
44,1,7
45,2,4
46,1,4
47,2,2
48,1,4
49,2,7
50,1,3
51,2,3
52,2,3
53,1,3
54,2,5
55,2,3
56,2,4
57,1,3
58,1,7
59,2,4
60,1,5
61,1,5
62,2,3
63,1,5
64,1,5
65,1,2
66,2,4
67,1,7
68,2,5
69,1,2
70,2,5
71,1,2
72,2,4
73,1,4
74,2,3
75,1,6
76,2,3
77,2,3
78,1,6
79,2,3
80,2,3
81,1,7
82,2,4
83,2,3
84,1,6
85,2,2
86,2,3
87,2,4
88,2,3
89,1,5
90,2,7
91,2,3
92,1,3
93,2,5
94,1,6
95,2,4
96,1,5
97,2,6
98,1,7
99,1,3
100,2,5
101,1,3
102,1,4
Identify the appropriate statistical test for this study and explain why this test was the most appropriate
Do you have enough evidence to reject the null hypothesis for this analysis? Explain your answer using the 95% confidence interval. (Your answer should include the calculation).
Using this example, explain the difference between p-values and confidence intervals in hypothesis testing
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