WorksheetsStatistics Business Analysis
Total questions: 37
Worksheet time: 20mins
Data consists of names or labels used to identify an attribute.
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
Data consists of names or labels used to identify an attribute and order and rank is meaningful
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
Data consists of names or labels used to identify an attribute, order and rank are meaningful, and intervals between data may be termed units of measurement
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
Data consists of names or labels used to identify an attribute, order and rank are meaningful, intervals between data may be termed units of measurement, and the ratio between two variables is meaningful
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
Categorical (Qualitative) Data
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
Quantitative Data
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
Condition Clauses hints
of
for
if
what
among
Conditional Causes hints:
if
given
among
that
then
Larger group of elements in a study, group of interest
Population
Sample
Parameter
Statistics
Subset of a population
Parameter
Sample
Population
Statistics
Descriptive measure of a sample
Survey
Population
Parameter
Statistics
Descriptive measure of a population
Statistics
Census
Parameter
Sample
Process of colleting data for a population
Census
Survey
Process of colleting data for a sample
Census
Survey
sx2 =
Sample Variance
Sample Standard Deviation
Sample Covariance
Sample Correlation Coefficient
sx=
Sample Variance
Sample Standard Deviation
Sample Covariance
Sample Correlation Coefficient
sxy=
Sample Variance
Sample Standard Deviation
Sample Covariance
Sample Correlation Coefficient
rxy=
Sample Variance
Sample Standard Deviation
Sample Covariance
Sample Correlation Coefficient
sxxi−x
Z- Score
Standard Deviation
Proporation
Variance
x ±k(sx)
Chebyshev's Theorem
Standard Deviation
Geometric Mean
SLope
k
Number of Standard Deviantion
Standard Deviantion
Number of Means
Number of Memes
Bell Shaped 68% =
k= 1
k= 2
k= 3
Bell Shaped 95% =
k= 1
k= 2
k= 3
Bell Shaped 99.87% =
k= 1
k= 2
k= 3
σ
Population
Sample
Mean
# of Standard Deviation
g=[(1+g1)(1+g2)... (1+gx)]n1−1
Geometric Mean
Mean
Standard Deviation
Covariance
b1 = Covariance/Variance of X
Slope
Y-Intercept
b0=y−b1x
Slope
Y-Intercept
x
Mean
Mode
Median
Percentage
P(A∩B)
Conditional Clause
Intersection Clause
Marginal Clause
Union Clause
P(A∪B)
Conditional Clause
Intersection Clause
Marginal Clause
Union Clause
P(A)
Conditional Clause
Intersection Clause
Marginal Clause
Union Clause
P(AlB)
Conditional Clause
Intersection Clause
Marginal Clause
Union Clause
P(B)P(A∩B)
Conditional Clause
Intersection Clause
Marginal Clause
Union Clause
1 - P(A)
Marginal
Compliment
Sample Set
Sample
P(Ac)
Compliment
Marginal
Division
Subtraction
Collection of experimental outcomes
(a)
