CNSL 503 MOD 4 QUESTIONS WITH
CORRECT ANSWERS 2025
Normal distribution - CORRECT ANSWER -
a frequency distribution that is shaped like a symmetrical bell, unimodal curve
Total relative frequency of distribution - CORRECT ANSWER -area under curve = 100% of the data or 1.0
68% of values - CORRECT ANSWER -% fall within 1 standard deviation of mean
95% of values - CORRECT ANSWER -% fall within 2 standard deviations of mean
99.7 % of values - CORRECT ANSWER -fall with in 3 standard deviations of he mean
Normal curve defined by - CORRECT ANSWER -mean and standard deviation
Raw score - CORRECT ANSWER -exact value that is observed
Standard score - CORRECT 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? - CORRECT 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 - CORRECT ANSWER -
Formula for z-score to raw score - CORRECT ANSWER -
Formula for sample mean to z-score - CORRECT ANSWER -
divided by standard error o/square root of sample
CORRECT ANSWERS 2025
Normal distribution - CORRECT ANSWER -
a frequency distribution that is shaped like a symmetrical bell, unimodal curve
Total relative frequency of distribution - CORRECT ANSWER -area under curve = 100% of the data or 1.0
68% of values - CORRECT ANSWER -% fall within 1 standard deviation of mean
95% of values - CORRECT ANSWER -% fall within 2 standard deviations of mean
99.7 % of values - CORRECT ANSWER -fall with in 3 standard deviations of he mean
Normal curve defined by - CORRECT ANSWER -mean and standard deviation
Raw score - CORRECT ANSWER -exact value that is observed
Standard score - CORRECT 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? - CORRECT 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 - CORRECT ANSWER -
Formula for z-score to raw score - CORRECT ANSWER -
Formula for sample mean to z-score - CORRECT ANSWER -
divided by standard error o/square root of sample
