I need help solving 1,2,4. I need finding the p-value A Stat-testA blackboard.wccnet.edu/webapps/assessment/take/launch.jsp?course_assessment_id=_655580_1&course_id=_96297_1&content_id%3_7095083_1&step=nullRe/ApBb 84752TED Amy CS Tak XAppsWCC GatewayAll apps | Microsof...A Winter 2020 MTH...V5 Announcements -..6 Launch Meeting -..Your answers are saved automatically.* Question Completion Status:QUESTION 1219 of 22 participants (86.36%) from the high-power posing group took a gambling risk to double their money, while 12 of 20 (60%) from the low-power posing grouptook the gambling risk. Use a calculator tool from Module 10 to determine the p-value associated with the hypothesis test examining if there is a statisticallysignificant difference between the proportion of people willing to take risks in the two groups. Round to 3 decimal places.2QUESTION 2While it may even be questionable that the research team reported a significant result at the 0.05 level based upon our findings in question 1, let's observe themajor impact a slight change makes in our calculation. Recalculate the p-value from part 1, but let's pretend that 18 of the 22 participants in the high-power grouptook the gambling risk. This new p-value speaks to the volatility of results when low sample sizes are used. Round this p-value to 3 decimal places.Many researchers tried to replicate the power posing research without success. One researcher used a sample size of n=200 (100 in each group). Let's assume 86of the 100 people in the high-power group in this ngw research took the gambling risk, and 79 of 100 people in the low-power group took the gambling risk. Performa hypothesis test to again detect a difference between the proportions willing to gamble from the two power posing groups, and state the resulting p-value. Roundto 3 decimal places.QUESTION 3.193Close WindowSave All AnswersClick Save and Submit to save and submit. Click Save All Answers to save all answers. 494.TDeathA The EE Untitle2 UnbeUntitleV6 LectuMcGrALEKSRe/ApBb 84752TED Amy CTal xt-testA blackboard.wccnet.edu/webapps/assessment/take/launch.jsp?course_assessment_id=_655580_1&course_id=_96297_1&content_id=_7095083_1&step=null| AppsWCC GatewayAll apps | Microsof..A Winter 2020 MTH...36 Announcements -.O Launch Meeting -.* Question Completion Status:QUESTION 3Many researchers tried to replicate the power posing research without success. One researcher ed a sample size of n=200 (100 in each group). Let's assume 86of the 100 people in the high-power group in this new research took the gambling risk, and 79 of 00 people in the low-power group took the gambling risk. Performa hypothesis test to again detect a difference between the proportions willing to gamble from the two power p ing groups, and state the resulting p-value. Roundto 3 decimal places..193QUESTION 4If Amy Cuddy and her research team originally established a sample size of n=200 (100 in each group) and then discovered that 86% of the high-power group (86 of100) took a gambling risk while 60% of the low-power group (60 of 100) took the risk, then the p-value would have been much lower than that originally found inquestion 1. This p-value would have been less sensitive and would have provided stronger evidence for the researcher's hypothesis. State the p-value, rounding to5 decimal places.QUESTION 5O a. The manipulation of statistical analysis, perhaps unconsciously, to arrive at statistically significant results (p-values less than 0.05)O b. A terrible cough that develops when calculating p-valuesP-hacking is a definite concern in the research world. Look up this term and match it with the correct definition below.OC. Hacking into another person's PCO d. Unauthorized use of someone else's dataSave All AnswersQUESTION 6

p-value according to our guidelines we can answer only first question and rest can be reposted

QUESTION 1 19 of 22 participants (86.36%) from the high-power posing group took a gambling risk to double their money, while 12 of 20 (60%) from the low-power posing group took the gambling risk. Use a calculator tool from Module 10 to determine the p-value associated with the hypothesis test examining if there is a statistically significant difference between the proportion of people willing to take risks in the two groups. Round to 3 decimal places. QUESTION 2 While it may even be questionable that the research team reported a significant result at the 0.05 level based upon our findings in question 1, let's observe the major impact a slight change makes in our calculation. Recalculate the p-value from part 1, but let's pretend that 18 of the 22 participants in the high-power group took the gambling risk. This new p-value speaks to the volatility of results when low sample sizes are used. Round this p-value to 3 decimal places.

QUESTION 1 19 of 22 participants (86.36%) from the high-power posing group took a gambling risk to double their money, while 12 of 20 (60%) from the low-power posing group took the gambling risk. Use a calculator tool from Module 10 to determine the p-value associated with the hypothesis test examining if there is a statistically significant difference between the proportion of people willing to take risks in the two groups. Round to 3 decimal places. QUESTION 2 While it may even be questionable that the research team reported a significant result at the 0.05 level based upon our findings in question 1, let's observe the major impact a slight change makes in our calculation. Recalculate the p-value from part 1, but let's pretend that 18 of the 22 participants in the high-power group took the gambling risk. This new p-value speaks to the volatility of results when low sample sizes are used. Round this p-value to 3 decimal places.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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I need help solving 1,2,4. I need finding the p-value

A Sta
t-test
A blackboard.wccnet.edu/webapps/assessment/take/launch.jsp?course_assessment_id=_655580_1&course_id=_96297_1&content_id%3_7095083_1&step=null
Re/Ap
Bb 84752
TED Amy C
S Tak X
Apps
WCC Gateway
All apps | Microsof...
A Winter 2020 MTH...
V5 Announcements -..
6 Launch Meeting -..
Your answers are saved automatically.
* Question Completion Status:
QUESTION 1
2
19 of 22 participants (86.36%) from the high-power posing group took a gambling risk to double their money, while 12 of 20 (60%) from the low-power posing group
took the gambling risk. Use a calculator tool from Module 10 to determine the p-value associated with the hypothesis test examining if there is a statistically
significant difference between the proportion of people willing to take risks in the two groups. Round to 3 decimal places.
2
QUESTION 2
While it may even be questionable that the research team reported a significant result at the 0.05 level based upon our findings in question 1, let's observe the
major impact a slight change makes in our calculation. Recalculate the p-value from part 1, but let's pretend that 18 of the 22 participants in the high-power group
took the gambling risk. This new p-value speaks to the volatility of results when low sample sizes are used. Round this p-value to 3 decimal places.
Many researchers tried to replicate the power posing research without success. One researcher used a sample size of n=200 (100 in each group). Let's assume 86
of the 100 people in the high-power group in this ngw research took the gambling risk, and 79 of 100 people in the low-power group took the gambling risk. Perform
a hypothesis test to again detect a difference between the proportions willing to gamble from the two power posing groups, and state the resulting p-value. Round
to 3 decimal places.
QUESTION 3
.193
Close Window
Save All Answers
Click Save and Submit to save and submit. Click Save All Answers to save all answers.

494.T
Death
A The E
E Untitle
2 Unbe
Untitle
V6 Lectu
McGr
ALEKS
Re/Ap
Bb 84752
TED Amy C
Tal x
t-test
A blackboard.wccnet.edu/webapps/assessment/take/launch.jsp?course_assessment_id=_655580_1&course_id=_96297_1&content_id=_7095083_1&step=null
| Apps
WCC Gateway
All apps | Microsof..
A Winter 2020 MTH...
36 Announcements -.
O Launch Meeting -.
* Question Completion Status:
QUESTION 3
Many researchers tried to replicate the power posing research without success. One researcher ed a sample size of n=200 (100 in each group). Let's assume 86
of the 100 people in the high-power group in this new research took the gambling risk, and 79 of 00 people in the low-power group took the gambling risk. Perform
a hypothesis test to again detect a difference between the proportions willing to gamble from the two power p ing groups, and state the resulting p-value. Round
to 3 decimal places.
.193
QUESTION 4
If Amy Cuddy and her research team originally established a sample size of n=200 (100 in each group) and then discovered that 86% of the high-power group (86 of
100) took a gambling risk while 60% of the low-power group (60 of 100) took the risk, then the p-value would have been much lower than that originally found in
question 1. This p-value would have been less sensitive and would have provided stronger evidence for the researcher's hypothesis. State the p-value, rounding to
5 decimal places.
QUESTION 5
O a. The manipulation of statistical analysis, perhaps unconsciously, to arrive at statistically significant results (p-values less than 0.05)
O b. A terrible cough that develops when calculating p-values
P-hacking is a definite concern in the research world. Look up this term and match it with the correct definition below.
OC. Hacking into another person's PC
O d. Unauthorized use of someone else's data
Save All Answers
QUESTION 6

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