Normal Distribution and z Scores MCQs
Normal Distribution and z Scores MCQs
Welcome to the Normal Distribution and z Scores MCQs page on MCQss.com. This page offers a collection of interactive multiple-choice questions designed to assess your understanding of the normal distribution and z scores.
The normal distribution is a fundamental concept in statistics, representing a symmetric bell-shaped probability distribution. It is widely used to model various phenomena in fields such as economics, psychology, natural sciences, and more. Understanding the properties of the normal distribution is essential for statistical analysis and inference.
Z scores, also known as standard scores, are a measure of how many standard deviations an observation or data point is from the mean of a distribution. They play a crucial role in standardizing values and comparing data across different distributions. Calculating and interpreting z scores is a valuable skill in statistical analysis.
By practicing Normal Distribution and z Scores MCQs, you can test your knowledge and proficiency in working with the normal distribution and z scores. These MCQs cover topics such as properties of the normal distribution, calculations of z scores, applications of z scores in hypothesis testing, confidence intervals, and more.
Understanding the normal distribution and z scores is beneficial in various statistical analyses and research studies. Whether you are analyzing data, conducting hypothesis tests, or estimating confidence intervals, having a strong grasp of the normal distribution and z scores will enable you to make accurate inferences and draw meaningful conclusions.
Regular practice of Normal Distribution and z Scores MCQs will help you enhance your knowledge and proficiency in working with these concepts. You will gain confidence in calculating and interpreting z scores, understanding the relationship between z scores and percentiles, and utilizing the properties of the normal distribution in statistical analyses.
Take advantage of the Normal Distribution and z Scores MCQs available on MCQss.com to test your understanding and improve your skills in working with the normal distribution and z scores. These MCQs will not only assess your knowledge but also help you strengthen your statistical foundation and analytical abilities.
1: The formula to calculate a standard score or z score is z = (X – M)/SD. A distribution of z scores has M = 0 and SD = 1 is known as _______ .
A. Z score
B. Extreme
C. Unusual
D. Both a & b
2: The distance of an individual score from the mean of a distribution expressed in unit-free terms is known as _______ .
A. Standard Score
B. Standardized Score
C. Both a & b
D. None of these
3: Standardized Score are scores expressed in z-score units .
A. True
B. False
4: Scores are unit free (also called standardized) when they have been converted into units that have a mean of 0 and a standard deviation of 1.
A. True
B. False
5: A normal distribution with mean = 0 and standard deviation and variance = 1. is known as _______ .
A. Standard Normal Distribution
B. Normal Distribution
C. Gaussian Distribution
D. None of these
6: Normal distribution, also known as the _______ .
A. Standard Normal Distribution
B. Normal Distribution
C. Gaussian Distribution
D. None of these
7: ______ refers to the conversion of scores in original units of measurement
A. Standardization
B. Skewness
C. Positively Skewed
D. Negatively Skewed
8: Divide the normal distribution at its mean is known as _____ .
A. Standardization
B. Skewness
C. Positively Skewed
D. Negatively Skewed
9: Positively Skewed IS An asymmetric distribution that has a ________ at the high (or positive) end of the distribution is said to be positively skewed.
A. Longer tail
B. Small tail
C. Medium tail
D. None of these
10: An asymmetric distribution that has a longer tail at the low (or negative) end of the distribution is said to be negatively skewed is known as _______ .
A. Standardization
B. Skewness
C. Positively Skewed
D. Negatively Skewed
11: Floor Effect is when scores have a fixed lower limit, such as 0 on an exam, and when many scores are close to that minimum possible value .
A. True
B. False
12: When there is a fixed upper limit for scores and most scores are close to the top of that range ,this condition is related to ______ .
A. Standardization
B. Skewness
C. Ceiling Effect
D. Negatively Skewed
13: A physical device that demonstrates the distribution of outcomes for Bernoulli trials is known as ________ .
A. Quincunx
B. Galton Board
C. Both a & b
D. None of these
14: A physical device that demonstrates the distribution of outcomes for Bernoulli trials is known as ________ .
A. Quincunx
B. Galton Board
C. Both a & b
D. None of these
15: Galton Board is a physical device that demonstrates the distribution of outcomes for Bernoulli trials .
A. True
B. False
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Normal Distribution and z Scores MCQs
