Business Statistics
Census - ANS-An examination of the complete population
Central Tendency - ANS-suggest, median, mode,
magnificence durations - ANS-variety divided into a number of categories
Classic principle - ANS-the hazard of a selected final results taking place is determined by
means of the ratio of the wide variety of favorable outcomes (or "successes") to the entire wide
variety of outcomes. Or P(A)=quantity of favorable effects/general quantity of feasible outcomes
collectively exhaustive - ANS-which means that the ones effects might also occur at the equal
time
Cumulative Frequency - ANS-the sum of the quantity observation within the contemporary c
language and the quantity of observations inside the preceding c language
cumulative relative frequency - ANS-the sum of the range observation within the present day c
programming language and the range of observations inside the preceding c language in
percentage to the total wide variety of observations
established - ANS-results which can be laid low with other outcomes. Consider the following
example.So the second one draw is a dependent occasion because its opportunity adjustments
depending upon what takes place on the primary draw.
Read extra:
http://www.Cliffsnotes.Com/study_guide/Dependent-Events.TopicArticleId-25951,articleId-25912
.Html
dispersion - ANS-the scattering of values of a variable (set/pop) across the suggest or median
of a distribution
event - ANS-a set or collection of experimental results
experimental consequences - ANS-the viable consequences for an experimen
frequency - ANS-wide variety of observations
impartial occasion - ANS-outcomes that aren't suffering from different results. In other words,
the flip of the penny does no longer have an effect on the flip of the nickel, and vice versa
mean - ANS-common, ordinary
Census - ANS-An examination of the complete population
Central Tendency - ANS-suggest, median, mode,
magnificence durations - ANS-variety divided into a number of categories
Classic principle - ANS-the hazard of a selected final results taking place is determined by
means of the ratio of the wide variety of favorable outcomes (or "successes") to the entire wide
variety of outcomes. Or P(A)=quantity of favorable effects/general quantity of feasible outcomes
collectively exhaustive - ANS-which means that the ones effects might also occur at the equal
time
Cumulative Frequency - ANS-the sum of the quantity observation within the contemporary c
language and the quantity of observations inside the preceding c language
cumulative relative frequency - ANS-the sum of the range observation within the present day c
programming language and the range of observations inside the preceding c language in
percentage to the total wide variety of observations
established - ANS-results which can be laid low with other outcomes. Consider the following
example.So the second one draw is a dependent occasion because its opportunity adjustments
depending upon what takes place on the primary draw.
Read extra:
http://www.Cliffsnotes.Com/study_guide/Dependent-Events.TopicArticleId-25951,articleId-25912
.Html
dispersion - ANS-the scattering of values of a variable (set/pop) across the suggest or median
of a distribution
event - ANS-a set or collection of experimental results
experimental consequences - ANS-the viable consequences for an experimen
frequency - ANS-wide variety of observations
impartial occasion - ANS-outcomes that aren't suffering from different results. In other words,
the flip of the penny does no longer have an effect on the flip of the nickel, and vice versa
mean - ANS-common, ordinary