CNSL 503 MOD 4 EXAM LATEST
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
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, CNSL 503 MOD 4 EXAM LATEST
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.
END OF
PAGE 2
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
END OF
PAGE 1
, CNSL 503 MOD 4 EXAM LATEST
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.
END OF
PAGE 2
