CNLS 503 Mod 4 2026 Expert
Verifed Ace the Test
normal distribution - ANSWER ✔✔a frequency distribution that is
shaped like a symmetrical bell, unimodal curve
total relative frequency of distribution - ANSWER ✔✔area under
curve = 100% of the data or 1.0
68% of values - ANSWER ✔✔% fall within 1 standard deviation of
mean
95% of values - ANSWER ✔✔% fall within 2 standard deviations of
mean
, 99.7 % of values - ANSWER ✔✔fall with in 3 standard deviations of
he mean
normal curve defined by - ANSWER ✔✔mean and standard deviation
raw score - ANSWER ✔✔exact value that is observed
standard score - ANSWER ✔✔indicates exactly how many standard
deviations a raw score is above or below the mean. Z-score
What is the purpose of calculating z-scores? - ANSWER ✔✔The
purpose of calculating z-scores is to understand a score's relative
standing within a distribution. The z-score standardizes scores from
different data sets with different means
formula for raw score to z-score - ANSWER ✔✔
formula for z-score to raw score - ANSWER ✔✔
formula for sample mean to z-score - ANSWER ✔✔divided by
standard error o/square root of sample
standard normal table - ANSWER ✔✔Shows the proportion of values
that fall to the left (or below) of a given z-score in a normal distribution
How to find percentage above z-score - ANSWER ✔✔1- p-value
Verifed Ace the Test
normal distribution - ANSWER ✔✔a frequency distribution that is
shaped like a symmetrical bell, unimodal curve
total relative frequency of distribution - ANSWER ✔✔area under
curve = 100% of the data or 1.0
68% of values - ANSWER ✔✔% fall within 1 standard deviation of
mean
95% of values - ANSWER ✔✔% fall within 2 standard deviations of
mean
, 99.7 % of values - ANSWER ✔✔fall with in 3 standard deviations of
he mean
normal curve defined by - ANSWER ✔✔mean and standard deviation
raw score - ANSWER ✔✔exact value that is observed
standard score - ANSWER ✔✔indicates exactly how many standard
deviations a raw score is above or below the mean. Z-score
What is the purpose of calculating z-scores? - ANSWER ✔✔The
purpose of calculating z-scores is to understand a score's relative
standing within a distribution. The z-score standardizes scores from
different data sets with different means
formula for raw score to z-score - ANSWER ✔✔
formula for z-score to raw score - ANSWER ✔✔
formula for sample mean to z-score - ANSWER ✔✔divided by
standard error o/square root of sample
standard normal table - ANSWER ✔✔Shows the proportion of values
that fall to the left (or below) of a given z-score in a normal distribution
How to find percentage above z-score - ANSWER ✔✔1- p-value
