In a normal distribution, the majority of cases f
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
In a normal distribution, the majority of cases fall:
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between –1 and +1 standard deviations from the
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between +1 and +2 standard deviations from the mean.
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below –3 standard deviations from the mean.
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below +3 standard deviations from the mean.
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Question 2
A class consists of 10 male and 30 female students. If one student is randomly selected from the class, what is the probability of selecting a male student?
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10/30
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10/40
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1/10
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1/40
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Question 3
A z score _____ the mean will always be _____.
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below; positive
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above; negative
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equal to; negative
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equal to; zero
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Question 4
Which of the following is a requirement for a random sample?
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Every individual has an equal chance of being selected.
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The probabilities cannot change during a series of selections.
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There must be sampling with replacement.
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All of the other 3 choices are correct.
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Question 5
The percentile is the:
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same thing as a percentage.
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percentage of scores falling at or below a particular raw score.
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percentage of scores falling at or above a particular raw score.
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percentage of scores falling between a particular raw score and the mean.
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Question 6
What percentage of scores fall between the mean and a z score of 1.17?
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6.75 percent
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13.59 percent
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34.13 percent
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37.90 percent
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Question 7
In a normal distribution, what percentage of scores falls below a z score of –2.33?
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0.99 percent
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2.12 percent
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9.10 percent
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40.52 percent
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Question 8
What percentage of scores falls between the mean and 1 standard deviation above the mean?
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0.13 percent
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2.14 percent
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13.59 percent
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34.13 percent
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Question 9
What is the difference between a normal distribution and other symmetrical distributions?
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The mean,
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The frequencies of scores decrease as they get farther from the midpoint.
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A specific percentage of scores must fall within a given area of the curve.
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All symmetrical distributions are
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Question 10
A specific bell-shaped curve that is defined by the percentage of cases that fall in specific areas under the curve is known as the:
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normal distribution.
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symmetrical distribution.
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positively skewed distribution.
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bimodal distribution.
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