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BCEMP – Statistics Exam Questions with Correct Answers| Latest Update

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BCEMP – Statistics Exam Questions with Correct Answers| Latest Update Guaranteed Success
Why type of data is the following:



Data classified into groups without rank. Nominal


Why type of data is the following:


Ranked order; groups are represented by scale, rank, or natural order but there is NO specific
interval or magnitude of difference between ranks. Ordinal



What are the two types of categorical data? Nominal and ordinal


Why type of data is the following:


Data ranked in a specific order with a consistent change in magnitude but with NO absolute
zero. Interval


Why type of data is the following:


Data ranked in a specific order with a consistent change in magnitude but with an absolute
zero. Ratio



What are the two types of continuous data? Interval and ratio



Sum of all values divided by the total number of values Mean (average)



Midpoint of the values when placed highest to lowest (50th percentile). Median

, Most common value in a data set Mode



What is the variation in the data set for one variable? Variance



What describes the variability (or spread) around the mean? Standard deviation


What is the estimate of certainty that a calculated sample mean represents the true mean of
the population? Standard error of the mean



What are the two types of population distributions? Normal - most common for population
distributions (symmetric or bell shaped)


Discrete - binomial distribution (two possible outcomes); examples dead/alive, heads/tails



What is a the alpha usually set to? 0.05 (5%)



What is the P value? The probability of the observed effect, given the null hypothesis is true



What does a small P value (<0.05) indicate? The obtained value is significantly inconsistent
with the null hypothesis (thus, you reject the null).


It indicates that in the event the null hypothesis is true, the probability of finding the observed
effect or result is very low.



What does a large P value (>0.05) indicate? Weak evidence against the null hypothesis, so
you fail to reject it.


The likelihood or probability of finding the observed effect or result is sufficiently high in the
event the null hypothesis is true.

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