CNSL 503
CNSL 503/ CNSL503| Statistics Module 4 | Questions with
Correct Answers| Latest Update (2025/2026) |
Guaranteed Pass | GRADE A |
What is the purpose of calculating z-scores? - ANS ✓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 - ANS ✓divided by standard error
o/square root of sample
Standard normal table - ANS ✓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 - ANS ✓1- p-value
Hypothesis testing using a z-score - ANS ✓1) State the null (H0 ) and
alternative (Ha ) hypotheses.
2) Determine the critical values.
3) Calculate the z-score.
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4) Compare the z-score to the critical value and determine whether to
reject H0.
One-tailed test - ANS ✓a directional test because it specifies whether the
population mean increases or decreases after the treatment (can be left or
right tail)
Left tail - ANS ✓decreases, Ha:u<55
Right tail - ANS ✓increase Ha:u>55
Critical region - ANS ✓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 - ANS ✓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 - ANS ✓When null hypothesis is rejected because z-score
falls in critical region
CNSL 503