The curve of a probability distribution is formed by either discrete or __________ random variables.
continuous
The symbol __________ denotes a random variable with a standard normal distribution.
z
The__________at the horizontal base of the standard normal curve indicates how many standard deviations a score X lies above or below the mean of its distribution.
z-value/z-score
The area under the normal curve is equal to __________.
1
The area under the normal curve corresponds to the __________ that a random variable having this distribution will take on values on a specified interval.
probability
The areas under the standard normal probability distribution are based on the __________.
z-distribution
The mean, median, and mode under the normal probability distribution are __________.
equal
The tails of the curve of a normal probability distribution extend __________.
undefinitely
The middle 95% of the standard normal distribution is bound by the z-values __________.
z = -2 and z = 2
The values that describe a standard normal distribution are a mean equal to __________ and a standard deviation equal to __________.
mean u & standard dev o
18th century statistician, first developed normal distribution
Abraham de Moivre
used among continuous distribution stats and used in natural & social science
Normal Distribution
developed the concept of normal curve from his study
Karl Gauss
normal distribution is sometimes referred to as
normal curve errors / GaussianDistribution
used to find the probability that a statistic is observe, below, above, betwee.