n this part of the assessment, you will use the data file SelfControl.csv available in Assessment 1 Data Analysis on Moodle. You should use the appropriate statistical test to analyse the data and to answer questions 1-6 related to the research scenario. Research Scenario: 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.
In this part of the assessment, you will use the data file SelfControl.csv available in Assessment 1 Data Analysis on Moodle. You should use the appropriate statistical test to analyse the data and to answer questions 1-6 related to the research scenario.
Research Scenario: 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.
- I have used statistical software based on the data to generate the p = .03 and 95% CI = 0.66, 1.28. The statistical test used was an independent samples t-test.
Using this example, explain the difference between p-values and confidence intervals in hypothesis testing
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