cnsl 503 Mod 4 with Correct Solutions
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
hypothesis testing using a z-score - Answer -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.
one-tailed test - Answer -a directional test because it specifies whether the population mean increases
or decreases after the treatment (can be left or right tail)
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
hypothesis testing using a z-score - Answer -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.
one-tailed test - Answer -a directional test because it specifies whether the population mean increases
or decreases after the treatment (can be left or right tail)
