CNSL 503 MOD 4 EXAM (ACTUAL 2025/2026) QUESTIONS AND
VERIFIED CORRECTLY WELL DEFINED ANSWERS GRADED A+
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 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.
one-tailed test -----Answers----a directional test because it
specifies whether the population mean increases or decreases
after the treatment (can be left or right tail)
left tail -----Answers----decreases, Ha:u<55
right tail -----Answers----increase Ha:u>55
critical region -----Answers----represents sample values
that are unlikely to occur if the treatment does not have an
effect (if z-score is in critical region reject null hypothesis)
two-tailed test -----Answers----states that there will be
some change in the mean; the treatment will have some effect
on the population mean (not specific on increase or decrease
just change)
critical rejection -----Answers----When null hypothesis is
rejected because z-score falls in critical region
Two tailed critical values (alpha values) -----Answers----
0.05- 1.96
0.01- 2.58
0.001- 3.30
VERIFIED CORRECTLY WELL DEFINED ANSWERS GRADED A+
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 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.
one-tailed test -----Answers----a directional test because it
specifies whether the population mean increases or decreases
after the treatment (can be left or right tail)
left tail -----Answers----decreases, Ha:u<55
right tail -----Answers----increase Ha:u>55
critical region -----Answers----represents sample values
that are unlikely to occur if the treatment does not have an
effect (if z-score is in critical region reject null hypothesis)
two-tailed test -----Answers----states that there will be
some change in the mean; the treatment will have some effect
on the population mean (not specific on increase or decrease
just change)
critical rejection -----Answers----When null hypothesis is
rejected because z-score falls in critical region
Two tailed critical values (alpha values) -----Answers----
0.05- 1.96
0.01- 2.58
0.001- 3.30
