Test the one-tailed hypothesis that an unexpected positive outcome increased the amount of money that participants were willing to gamble. Use a = .01.

Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
Problem 1TY
icon
Related questions
Question
this is what I need to show full work on for psych stats
**Positive Events and Risk-Taking Behavior**

Recent research suggests that unexpected positive outcomes, such as an unseasonably sunny day, can lead to higher levels of risk-taking and gambling (Otto, Fleming, & Glimcher, 2016). This was demonstrated by comparing lottery sales—a measure of risk-taking—on normal days to those on days with unexpected positive events in the city. An increase in sales was observed after such positive occurrences.

In an experimental setup, participants are divided into two groups. Group 1 receives an unexpectedly large payment for participation, while Group 2 receives the expected compensation. The researcher then measures the amount each participant is willing to gamble in a game of chance.

**Table Summary**

The table compares the two groups:

- **Unexpected Positive Outcome**
  - Sample size (\( n \)) = 16
  - Mean (\( M \)) = 5.75
  - Sum of squares (\( SS \)) = 6.5

- **Expected Outcome**
  - Sample size (\( n \)) = 16
  - Mean (\( M \)) = 5.00
  - Sum of squares (\( SS \)) = 10.0

**Hypothesis Testing**

The hypothesis being tested is whether an unexpected positive outcome increases the amount participants are willing to gamble, using a one-tailed test.
Transcribed Image Text:**Positive Events and Risk-Taking Behavior** Recent research suggests that unexpected positive outcomes, such as an unseasonably sunny day, can lead to higher levels of risk-taking and gambling (Otto, Fleming, & Glimcher, 2016). This was demonstrated by comparing lottery sales—a measure of risk-taking—on normal days to those on days with unexpected positive events in the city. An increase in sales was observed after such positive occurrences. In an experimental setup, participants are divided into two groups. Group 1 receives an unexpectedly large payment for participation, while Group 2 receives the expected compensation. The researcher then measures the amount each participant is willing to gamble in a game of chance. **Table Summary** The table compares the two groups: - **Unexpected Positive Outcome** - Sample size (\( n \)) = 16 - Mean (\( M \)) = 5.75 - Sum of squares (\( SS \)) = 6.5 - **Expected Outcome** - Sample size (\( n \)) = 16 - Mean (\( M \)) = 5.00 - Sum of squares (\( SS \)) = 10.0 **Hypothesis Testing** The hypothesis being tested is whether an unexpected positive outcome increases the amount participants are willing to gamble, using a one-tailed test.
### Analysis of Gambling Outcomes

The table compares two conditions in an experiment related to gambling behavior:

#### Unexpected Positive Outcome
- **Sample Size (n)**: 16
- **Mean (M)**: 5.75
- **Sum of Squares (SS)**: 6.5

#### Expected Outcome
- **Sample Size (n)**: 16
- **Mean (M)**: 5.00
- **Sum of Squares (SS)**: 10.0

#### Hypothesis Testing

The task is to test the one-tailed hypothesis that an unexpected positive outcome increases the amount of money participants are willing to gamble. The significance level is set at α = 0.01.

This involves comparing the means of the two sample groups using statistical methods to determine if the unexpected positive outcome has a significant effect on gambling behavior.
Transcribed Image Text:### Analysis of Gambling Outcomes The table compares two conditions in an experiment related to gambling behavior: #### Unexpected Positive Outcome - **Sample Size (n)**: 16 - **Mean (M)**: 5.75 - **Sum of Squares (SS)**: 6.5 #### Expected Outcome - **Sample Size (n)**: 16 - **Mean (M)**: 5.00 - **Sum of Squares (SS)**: 10.0 #### Hypothesis Testing The task is to test the one-tailed hypothesis that an unexpected positive outcome increases the amount of money participants are willing to gamble. The significance level is set at α = 0.01. This involves comparing the means of the two sample groups using statistical methods to determine if the unexpected positive outcome has a significant effect on gambling behavior.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 10 images

Blurred answer
Recommended textbooks for you
Ciccarelli: Psychology_5 (5th Edition)
Ciccarelli: Psychology_5 (5th Edition)
Psychology
ISBN:
9780134477961
Author:
Saundra K. Ciccarelli, J. Noland White
Publisher:
PEARSON
Cognitive Psychology
Cognitive Psychology
Psychology
ISBN:
9781337408271
Author:
Goldstein, E. Bruce.
Publisher:
Cengage Learning,
Introduction to Psychology: Gateways to Mind and …
Introduction to Psychology: Gateways to Mind and …
Psychology
ISBN:
9781337565691
Author:
Dennis Coon, John O. Mitterer, Tanya S. Martini
Publisher:
Cengage Learning
Psychology in Your Life (Second Edition)
Psychology in Your Life (Second Edition)
Psychology
ISBN:
9780393265156
Author:
Sarah Grison, Michael Gazzaniga
Publisher:
W. W. Norton & Company
Cognitive Psychology: Connecting Mind, Research a…
Cognitive Psychology: Connecting Mind, Research a…
Psychology
ISBN:
9781285763880
Author:
E. Bruce Goldstein
Publisher:
Cengage Learning
Theories of Personality (MindTap Course List)
Theories of Personality (MindTap Course List)
Psychology
ISBN:
9781305652958
Author:
Duane P. Schultz, Sydney Ellen Schultz
Publisher:
Cengage Learning