UCF QMB3200 Midterm Study
Addition Law - ANS-a probability regulation 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 medical manner of reworking records into perception 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 necessities for assigning probabilities: - ANS-1. The probability assigned to each
experimental final results must be among 0 and 1
2. The sum of the possibilities for all experimental effects ought to equal 1
Big Data - ANS-A set of facts that cannot be controlled, processed, or analyzed with
generally to be had software program in a reasonable quantity of time. Big Data are
characterised by 4 v's: quantity, speed, variety, and veracity.
Binomial Experiment - ANS-An experiment with the subsequent traits:
(1) The test includes a fixed range of trials denoted via n
(2) each trial has only feasible effects, a achievement or a failure
(3) the possibility of success and the possibility of failure are constant all through the test
(4) every trial is impartial of every other trial inside the test.
Binomial Probability Function - ANS-the characteristic used to compute binomial probabilities
bivariate opportunity distribution - ANS-A opportunity distribution involving random
variables. A discrete bivariate opportunity distribution gives a chance for every pair of values
which could occur for the 2 random variables.
Chebyshev's Theorem - ANS-A theorem that may be used to make statements
approximately the percentage of facts values that should be within a targeted variety of
widespread deviations of the imply.
~ At least 75% of the facts values have to be inside z=2 SD's of the mean
~ At least 89% of the records values should be within z=three SD's of the mean
~ At least ninety four% of the records values ought to be within z=4 SD's of the suggest
Class Midpoint - ANS-the value halfway between the decrease and top elegance limits
Classical Method - ANS-a technique of assigning probabilities that is suitable when all the
experimental consequences are similarly likely. If n experimental effects are feasible, a
probability of 1/n is assigned to every experimental final results.
Coefficient of Variation - ANS-A measure of relative variability computed by using dividing
the standard deviation with the aid of the mean and multiplying by using a hundred.
Combinations - ANS-In an experiment we can be inquisitive about figuring out the wide
variety of approaches n objects can be selected from amongst N items with out regard to the
order wherein the n items are decided on.
Complement of A - ANS-the event including all pattern points that are not in A; denoted as
Ac
Conditional Probability - ANS-the opportunity of an event given that any other occasion
already came about B) = P(A ∩ B) P(B)
, Continuous Random Variable - ANS-a random variable which could assume any numerical
price in an interval or series of durations
Correlation Coefficient - ANS-a degree of linear affiliation among two variables that takes on
values between -1 and +1.
Covarience - ANS-a measure of the linear association between variables. Positive=superb
relationship, vice versa
Crosstabulation - ANS-A tabular precis of statistics for two variables. The classes for one
variable are represented by means of the rows; the instructions for the other variable are
represented by using the columns.
Cumulative Frequency Distribution - ANS-A tabular precis of quantitative facts showing the
number of information values which are much less than or same to the higher elegance
restrict of each elegance.
Cumulative Percent Frequency Distribution - ANS-A tabular summary of quantitative
information showing the proportion of statistics values which might be much less than or
identical to the higher class restrict of every magnificence.
Cumulative Relative Frequency Distribution - ANS-A tabular precis of quantitative statistics
displaying the fraction or share of records values which can be less than or same to the top
elegance limit of every magnificence.
Data Mining - ANS-The method of the usage of tactics from statistics and laptop technology
to extract beneficial information from extremely massive databases.
Descriptive Analytics - ANS-Analytical techniques that describe what has took place inside
the past.
Discrete Random Variable - ANS-a random variable which could count on either a finite wide
variety of values or an endless series of values
Discrete Uniform Probability Distribution - ANS-a possibility distribution for which every
feasible cost of the random variable has the same probability
Dot Plot - ANS-a graphical tool that summarizes information by using the range of dots
above every data cost on the horizontal axis
Empirical Discrete Distribution - ANS-a discrete probability distribution for which the relative
frequency technique is used to assign the probabilities
Empirical Rule - ANS-A rule that may be used to compute the proportion of facts values that
should be inside one, , and three popular deviations of the mean for information that
showcase a bell-fashioned 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 suggest - ANS-=GEOMEAN()
Excel: Hypergeometric possibility feature - ANS-=HYPGEOM.DIST(x, n, r, N, TRUE/FALSE
cumulative)
Excel: IQR - ANS-=QUARTILE.EXC (A1:AX, 3) - QUARTILE.EXC (A1:AX, 1)
Excel: Mean - ANS-=AVERAGE()
Excel: median - ANS-=MEDIAN()
Excel: mode - ANS-=MODE.SNGL()
Excel: Outliers - ANS-=QUARTILE.EXC(A1:AX, 1) - 1.Five * (QUARTILE.EXC9A1:AX,
three)-QUARTILE.EXC(A1:AX,1))
and
Addition Law - ANS-a probability regulation 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 medical manner of reworking records into perception 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 necessities for assigning probabilities: - ANS-1. The probability assigned to each
experimental final results must be among 0 and 1
2. The sum of the possibilities for all experimental effects ought to equal 1
Big Data - ANS-A set of facts that cannot be controlled, processed, or analyzed with
generally to be had software program in a reasonable quantity of time. Big Data are
characterised by 4 v's: quantity, speed, variety, and veracity.
Binomial Experiment - ANS-An experiment with the subsequent traits:
(1) The test includes a fixed range of trials denoted via n
(2) each trial has only feasible effects, a achievement or a failure
(3) the possibility of success and the possibility of failure are constant all through the test
(4) every trial is impartial of every other trial inside the test.
Binomial Probability Function - ANS-the characteristic used to compute binomial probabilities
bivariate opportunity distribution - ANS-A opportunity distribution involving random
variables. A discrete bivariate opportunity distribution gives a chance for every pair of values
which could occur for the 2 random variables.
Chebyshev's Theorem - ANS-A theorem that may be used to make statements
approximately the percentage of facts values that should be within a targeted variety of
widespread deviations of the imply.
~ At least 75% of the facts values have to be inside z=2 SD's of the mean
~ At least 89% of the records values should be within z=three SD's of the mean
~ At least ninety four% of the records values ought to be within z=4 SD's of the suggest
Class Midpoint - ANS-the value halfway between the decrease and top elegance limits
Classical Method - ANS-a technique of assigning probabilities that is suitable when all the
experimental consequences are similarly likely. If n experimental effects are feasible, a
probability of 1/n is assigned to every experimental final results.
Coefficient of Variation - ANS-A measure of relative variability computed by using dividing
the standard deviation with the aid of the mean and multiplying by using a hundred.
Combinations - ANS-In an experiment we can be inquisitive about figuring out the wide
variety of approaches n objects can be selected from amongst N items with out regard to the
order wherein the n items are decided on.
Complement of A - ANS-the event including all pattern points that are not in A; denoted as
Ac
Conditional Probability - ANS-the opportunity of an event given that any other occasion
already came about B) = P(A ∩ B) P(B)
, Continuous Random Variable - ANS-a random variable which could assume any numerical
price in an interval or series of durations
Correlation Coefficient - ANS-a degree of linear affiliation among two variables that takes on
values between -1 and +1.
Covarience - ANS-a measure of the linear association between variables. Positive=superb
relationship, vice versa
Crosstabulation - ANS-A tabular precis of statistics for two variables. The classes for one
variable are represented by means of the rows; the instructions for the other variable are
represented by using the columns.
Cumulative Frequency Distribution - ANS-A tabular precis of quantitative facts showing the
number of information values which are much less than or same to the higher elegance
restrict of each elegance.
Cumulative Percent Frequency Distribution - ANS-A tabular summary of quantitative
information showing the proportion of statistics values which might be much less than or
identical to the higher class restrict of every magnificence.
Cumulative Relative Frequency Distribution - ANS-A tabular precis of quantitative statistics
displaying the fraction or share of records values which can be less than or same to the top
elegance limit of every magnificence.
Data Mining - ANS-The method of the usage of tactics from statistics and laptop technology
to extract beneficial information from extremely massive databases.
Descriptive Analytics - ANS-Analytical techniques that describe what has took place inside
the past.
Discrete Random Variable - ANS-a random variable which could count on either a finite wide
variety of values or an endless series of values
Discrete Uniform Probability Distribution - ANS-a possibility distribution for which every
feasible cost of the random variable has the same probability
Dot Plot - ANS-a graphical tool that summarizes information by using the range of dots
above every data cost on the horizontal axis
Empirical Discrete Distribution - ANS-a discrete probability distribution for which the relative
frequency technique is used to assign the probabilities
Empirical Rule - ANS-A rule that may be used to compute the proportion of facts values that
should be inside one, , and three popular deviations of the mean for information that
showcase a bell-fashioned 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 suggest - ANS-=GEOMEAN()
Excel: Hypergeometric possibility feature - ANS-=HYPGEOM.DIST(x, n, r, N, TRUE/FALSE
cumulative)
Excel: IQR - ANS-=QUARTILE.EXC (A1:AX, 3) - QUARTILE.EXC (A1:AX, 1)
Excel: Mean - ANS-=AVERAGE()
Excel: median - ANS-=MEDIAN()
Excel: mode - ANS-=MODE.SNGL()
Excel: Outliers - ANS-=QUARTILE.EXC(A1:AX, 1) - 1.Five * (QUARTILE.EXC9A1:AX,
three)-QUARTILE.EXC(A1:AX,1))
and
