UCF QMB3200 Midterm Study
Addition Law - ANS-a chance law used to compute the opportunity of the union of two activities.
P(A ∩ B)= P(a)+P(B) - P(A u B)
Analytics - ANS-the scientific system of transforming information into insight for making better
choices
Bar Chart - ANS-A graphical device for depicting express records which have been summarized
in a frequency, relative frequency, or percentage frequency distribution.
Basic requirements for assigning probabilities: - ANS-1. The possibility assigned to every
experimental final results must be among 0 and 1
2. The sum of the chances for all experimental results have to same 1
Big Data - ANS-A set of information that cannot be managed, processed, or analyzed with
commonly to be had software program in a reasonable quantity of time. Big Data are
characterised by means of 4 v's: extent, velocity, range, and veracity.
Binomial Experiment - ANS-An experiment with the subsequent characteristics:
(1) The test consists of a hard and fast variety of trials denoted with the aid of n
(2) each trial has simplest viable outcomes, a success or a failure
(three) the chance of success and the probability of failure are regular at some stage in the
experiment
(4) each trial is unbiased of every other trial within the test.
Binomial Probability Function - ANS-the feature used to compute binomial probabilities
bivariate chance distribution - ANS-A probability distribution related to random variables. A
discrete bivariate chance distribution presents a probability for every pair of values that could
arise for the two random variables.
Chebyshev's Theorem - ANS-A theorem that can be used to make statements approximately
the proportion of facts values that ought to be inside a specified variety of preferred deviations
of the imply.
~ At least seventy five% of the records values ought to be inside z=2 SD's of the suggest
~ At least 89% of the statistics values should be within z=3 SD's of the imply
~ At least 94% of the records values need to be within z=four SD's of the mean
Class Midpoint - ANS-the value halfway between the decrease and upper magnificence limits
Classical Method - ANS-a technique of assigning probabilities this is suitable whilst all the
experimental effects are similarly likely. If n experimental results are viable, a chance of one/n is
assigned to every experimental outcome.
Coefficient of Variation - ANS-A measure of relative variability computed by means of dividing
the usual deviation by means of the mean and multiplying by using one hundred.
Combinations - ANS-In an experiment we may be inquisitive about determining the wide variety
of approaches n objects may be selected from amongst N items without regard to the order in
which the n gadgets are decided on.
Complement of A - ANS-the occasion along with all sample points that aren't in A; denoted as
Ac
, Conditional Probability - ANS-the opportunity of an event given that another occasion already
took place.
P(A which could anticipate any numerical price in an c programming language or collection of
periods
Correlation Coefficient - ANS-a degree of linear affiliation between two variables that takes on
values among -1 and +1.
Covarience - ANS-a measure of the linear association among variables.
Positive=advantageous dating, vice versa
Crosstabulation - ANS-A tabular precis of data for two variables. The lessons for one variable
are represented by using the rows; the lessons for the alternative variable are represented by
means of the columns.
Cumulative Frequency Distribution - ANS-A tabular summary of quantitative records displaying
the variety of statistics values that are less than or same to the upper class restriction of each
magnificence.
Cumulative Percent Frequency Distribution - ANS-A tabular precis of quantitative records
displaying the proportion of statistics values which can be less than or equal to the upper
magnificence restrict of every class.
Cumulative Relative Frequency Distribution - ANS-A tabular summary of quantitative information
showing the fraction or share of records values which might be less than or identical to the top
magnificence restriction of each class.
Data Mining - ANS-The method of the usage of approaches from statistics and computer
technology to extract beneficial records from extremely huge databases.
Descriptive Analytics - ANS-Analytical techniques that describe what has came about in the
past.
Discrete Random Variable - ANS-a random variable that can assume either a finite variety of
values or an countless sequence of values
Discrete Uniform Probability Distribution - ANS-a probability distribution for which each possible
fee of the random variable has the identical probability
Dot Plot - ANS-a graphical tool that summarizes facts with the aid of the quantity of dots above
each facts price at the horizontal axis
Empirical Discrete Distribution - ANS-a discrete opportunity distribution for which the relative
frequency method is used to assign the probabilities
Empirical Rule - ANS-A rule that may be used to compute the proportion of statistics values that
ought to be inside one, , and 3 widespread deviations of the suggest for information that
showcase a bell-formed distribution.
Excel: Binomial Probability Function - ANS-=BINOM.DIST(X, N, P, TRUE/FALSE cumulative)
Excel: Coefficient of Variation - ANS-=STDEV.S()/AVERAGE()*100
Excel: Combinations - ANS-=COMBIN()
Excel: Correlation Coefficient - ANS-=CORREL(array 1, array 2)
Excel: Factorial - ANS-=FACT()
Excel: geometric mean - ANS-=GEOMEAN()
Excel: Hypergeometric chance characteristic - ANS-=HYPGEOM.DIST(x, n, r, N, TRUE/FALSE
cumulative)
Excel: IQR - ANS-=QUARTILE.EXC (A1:AX, 3) - QUARTILE.EXC (A1:AX, 1)
Addition Law - ANS-a chance law used to compute the opportunity of the union of two activities.
P(A ∩ B)= P(a)+P(B) - P(A u B)
Analytics - ANS-the scientific system of transforming information into insight for making better
choices
Bar Chart - ANS-A graphical device for depicting express records which have been summarized
in a frequency, relative frequency, or percentage frequency distribution.
Basic requirements for assigning probabilities: - ANS-1. The possibility assigned to every
experimental final results must be among 0 and 1
2. The sum of the chances for all experimental results have to same 1
Big Data - ANS-A set of information that cannot be managed, processed, or analyzed with
commonly to be had software program in a reasonable quantity of time. Big Data are
characterised by means of 4 v's: extent, velocity, range, and veracity.
Binomial Experiment - ANS-An experiment with the subsequent characteristics:
(1) The test consists of a hard and fast variety of trials denoted with the aid of n
(2) each trial has simplest viable outcomes, a success or a failure
(three) the chance of success and the probability of failure are regular at some stage in the
experiment
(4) each trial is unbiased of every other trial within the test.
Binomial Probability Function - ANS-the feature used to compute binomial probabilities
bivariate chance distribution - ANS-A probability distribution related to random variables. A
discrete bivariate chance distribution presents a probability for every pair of values that could
arise for the two random variables.
Chebyshev's Theorem - ANS-A theorem that can be used to make statements approximately
the proportion of facts values that ought to be inside a specified variety of preferred deviations
of the imply.
~ At least seventy five% of the records values ought to be inside z=2 SD's of the suggest
~ At least 89% of the statistics values should be within z=3 SD's of the imply
~ At least 94% of the records values need to be within z=four SD's of the mean
Class Midpoint - ANS-the value halfway between the decrease and upper magnificence limits
Classical Method - ANS-a technique of assigning probabilities this is suitable whilst all the
experimental effects are similarly likely. If n experimental results are viable, a chance of one/n is
assigned to every experimental outcome.
Coefficient of Variation - ANS-A measure of relative variability computed by means of dividing
the usual deviation by means of the mean and multiplying by using one hundred.
Combinations - ANS-In an experiment we may be inquisitive about determining the wide variety
of approaches n objects may be selected from amongst N items without regard to the order in
which the n gadgets are decided on.
Complement of A - ANS-the occasion along with all sample points that aren't in A; denoted as
Ac
, Conditional Probability - ANS-the opportunity of an event given that another occasion already
took place.
P(A which could anticipate any numerical price in an c programming language or collection of
periods
Correlation Coefficient - ANS-a degree of linear affiliation between two variables that takes on
values among -1 and +1.
Covarience - ANS-a measure of the linear association among variables.
Positive=advantageous dating, vice versa
Crosstabulation - ANS-A tabular precis of data for two variables. The lessons for one variable
are represented by using the rows; the lessons for the alternative variable are represented by
means of the columns.
Cumulative Frequency Distribution - ANS-A tabular summary of quantitative records displaying
the variety of statistics values that are less than or same to the upper class restriction of each
magnificence.
Cumulative Percent Frequency Distribution - ANS-A tabular precis of quantitative records
displaying the proportion of statistics values which can be less than or equal to the upper
magnificence restrict of every class.
Cumulative Relative Frequency Distribution - ANS-A tabular summary of quantitative information
showing the fraction or share of records values which might be less than or identical to the top
magnificence restriction of each class.
Data Mining - ANS-The method of the usage of approaches from statistics and computer
technology to extract beneficial records from extremely huge databases.
Descriptive Analytics - ANS-Analytical techniques that describe what has came about in the
past.
Discrete Random Variable - ANS-a random variable that can assume either a finite variety of
values or an countless sequence of values
Discrete Uniform Probability Distribution - ANS-a probability distribution for which each possible
fee of the random variable has the identical probability
Dot Plot - ANS-a graphical tool that summarizes facts with the aid of the quantity of dots above
each facts price at the horizontal axis
Empirical Discrete Distribution - ANS-a discrete opportunity distribution for which the relative
frequency method is used to assign the probabilities
Empirical Rule - ANS-A rule that may be used to compute the proportion of statistics values that
ought to be inside one, , and 3 widespread deviations of the suggest for information that
showcase a bell-formed distribution.
Excel: Binomial Probability Function - ANS-=BINOM.DIST(X, N, P, TRUE/FALSE cumulative)
Excel: Coefficient of Variation - ANS-=STDEV.S()/AVERAGE()*100
Excel: Combinations - ANS-=COMBIN()
Excel: Correlation Coefficient - ANS-=CORREL(array 1, array 2)
Excel: Factorial - ANS-=FACT()
Excel: geometric mean - ANS-=GEOMEAN()
Excel: Hypergeometric chance characteristic - ANS-=HYPGEOM.DIST(x, n, r, N, TRUE/FALSE
cumulative)
Excel: IQR - ANS-=QUARTILE.EXC (A1:AX, 3) - QUARTILE.EXC (A1:AX, 1)
