1|Page
CNSL 503 MOD 4 EXAM WITH CORRECT ACTUAL
QUESTIONS AND CORRECTLY WELL DEFINED
ANSWERS LATEST 2024 – 2025 ALREADY GRADED A+
normal distribution - (answers)a frequency distribution that is shaped like a
symmetrical bell, unimodal curve
total relative frequency of distribution - (answers)area under curve = 100% of the
data or 1.0
68% of values - (answers)% fall within 1 standard deviation of mean
95% of values - (answers)% fall within 2 standard deviations of mean
99.7 % of values - (answers)fall with in 3 standard deviations of he mean
normal curve defined by - (answers)mean and standard deviation
raw score - (answers)exact value that is observed
standard score - (answers)indicates exactly how many standard deviations a raw
score is above or below the mean. Z-score
, 2|Page
What is the purpose of calculating z-scores? - (answers)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 - (answers)
formula for z-score to raw score - (answers)
formula for sample mean to z-score - (answers)divided by standard error
o/square root of sample
standard normal table - (answers)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 - (answers)1- p-value
hypothesis testing using a z-score - (answers)1) State the null (H0 ) and alternative
(Ha ) hypotheses.
2) Determine the critical values.
3) Calculate the z-score.
4) Compare the z-score to the critical value and determine whether to reject H0.
CNSL 503 MOD 4 EXAM WITH CORRECT ACTUAL
QUESTIONS AND CORRECTLY WELL DEFINED
ANSWERS LATEST 2024 – 2025 ALREADY GRADED A+
normal distribution - (answers)a frequency distribution that is shaped like a
symmetrical bell, unimodal curve
total relative frequency of distribution - (answers)area under curve = 100% of the
data or 1.0
68% of values - (answers)% fall within 1 standard deviation of mean
95% of values - (answers)% fall within 2 standard deviations of mean
99.7 % of values - (answers)fall with in 3 standard deviations of he mean
normal curve defined by - (answers)mean and standard deviation
raw score - (answers)exact value that is observed
standard score - (answers)indicates exactly how many standard deviations a raw
score is above or below the mean. Z-score
, 2|Page
What is the purpose of calculating z-scores? - (answers)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 - (answers)
formula for z-score to raw score - (answers)
formula for sample mean to z-score - (answers)divided by standard error
o/square root of sample
standard normal table - (answers)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 - (answers)1- p-value
hypothesis testing using a z-score - (answers)1) State the null (H0 ) and alternative
(Ha ) hypotheses.
2) Determine the critical values.
3) Calculate the z-score.
4) Compare the z-score to the critical value and determine whether to reject H0.
