Test the one-tailed hypothesis that an unexpected positive outcome increased the amount of money that participants were willing to gamble. Use a = .01.
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
Related questions
Question
this is what I need to show full work on for psych stats
![12. Positive events are great, but recent research sug-
gests that unexpected positive outcomes (e.g., an
unseasonably sunny day) predict greater-than-normal
amounts of risk-taking and gambling (Otto, Fleming,
& Glimcher, 2016). Researchers demonstrated this by
comparing lottery sales-indicative of risk-taking-on
normal days with lottery sales on days when some
unexpected positive event occurred in the city. They
observed increased sales after unexpected positive out-
comes. Suppose that a researcher extends this observa-
tion to the laboratory and randomly assigns partici-
pants to two groups. Group 1 receives an unexpectedly
large payment for participating and Group 2 receives
the expected amount of compensation. The researcher
then measures how much money the participants are
willing to gamble in a game of chance.
Unexpected Positive
Outcome
n = 16
M = 5.75
SS = 6.5
Expected
Outcome
n = 16
M = 5.00
SS = 10.0
Test the one-tailed hypothesis that an unexpected
Dositive outcome increased the amount of money that](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff56f1b7-36da-490f-a87a-f784147acbf5%2Fc5321e0a-8f62-4e90-8355-73b64eeeeb60%2F6brhjwj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:12. Positive events are great, but recent research sug-
gests that unexpected positive outcomes (e.g., an
unseasonably sunny day) predict greater-than-normal
amounts of risk-taking and gambling (Otto, Fleming,
& Glimcher, 2016). Researchers demonstrated this by
comparing lottery sales-indicative of risk-taking-on
normal days with lottery sales on days when some
unexpected positive event occurred in the city. They
observed increased sales after unexpected positive out-
comes. Suppose that a researcher extends this observa-
tion to the laboratory and randomly assigns partici-
pants to two groups. Group 1 receives an unexpectedly
large payment for participating and Group 2 receives
the expected amount of compensation. The researcher
then measures how much money the participants are
willing to gamble in a game of chance.
Unexpected Positive
Outcome
n = 16
M = 5.75
SS = 6.5
Expected
Outcome
n = 16
M = 5.00
SS = 10.0
Test the one-tailed hypothesis that an unexpected
Dositive outcome increased the amount of money that
![Unexpected Positive
Outcome
n = 16
M = 5.75
SS = 6.5
Expected
Outcome
n = 16
M = 5.00
SS= 10.0
Test the one-tailed hypothesis that an unexpected
positive outcome increased the amount of money that
participants were willing to gamble. Use a = .01.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff56f1b7-36da-490f-a87a-f784147acbf5%2Fc5321e0a-8f62-4e90-8355-73b64eeeeb60%2Fhyools9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Unexpected Positive
Outcome
n = 16
M = 5.75
SS = 6.5
Expected
Outcome
n = 16
M = 5.00
SS= 10.0
Test the one-tailed hypothesis that an unexpected
positive outcome increased the amount of money that
participants were willing to gamble. Use a = .01.
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