Zuckerman (1994) developed a standardized scale to measure sensation seeking personality based on 4 traits: adventure seeking, experience seeking, disinhibition and boredom susceptibility. The following table identifies each trait being measured, summarized its characteristics, and provides the participant score on it. Assume that the possible scores on each test are normally distributed. TraitMeanStandard DeviationParticipant’s ScoreAdventure Seeking7.661.606.10Experience Seeking6.131.328.18Disinhibition3.772.655.36Boredom Susceptibility8.002.306.49What is the percentile rank of the participant’s Adventure Seeking trait?What percentage of the participants with the Disinhibition trait score higher than the participant?Between what two scores on Boredom Susceptibility did the middle 95% of students lie?What percent of participants had scores between X = 2 and X = 8 on Adventure Seeking trait?

here as per policy i have calculated 3 subparts plz repost for remaining Trait Mean…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Zuckerman (1994) developed a standardized scale to measure sensation seeking personality based on 4 traits: adventure seeking, experience seeking, disinhibition and boredom susceptibility. The following table identifies each trait being measured, summarized its characteristics, and provides the participant score on it. Assume that the possible scores on each test are normally distributed.

Trait	Mean	Standard Deviation	Participant’s Score
Adventure Seeking	7.66	1.60	6.10
Experience Seeking	6.13	1.32	8.18
Disinhibition	3.77	2.65	5.36
Boredom Susceptibility	8.00	2.30	6.49

What is the percentile rank of the participant’s Adventure Seeking trait?
What percentage of the participants with the Disinhibition trait score higher than the participant?
Between what two scores on Boredom Susceptibility did the middle 95% of students lie?
What percent of participants had scores between X = 2 and X = 8 on Adventure Seeking trait?

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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