-..__ -1. _._.._
[Emihlnterval Estimation
Part 2: Condence Interval (CI) (cont.)
(E) w to use form (eq 8.2) .
7" 'ga Etta/2 S (eq8.2)
L. W
EX 3 Suppose that a sample of 100 sales invoices is selected from the population of sales
invoices du
EXAMPLE FROM CLASS
PV
AC
EV
100
200
50
CV
SV
CPI
SPI
CSI
=
=
=
=
=
EV - AC
EV - PV
EV/AC
EV/PV
CPI x SPI
CV = Cost Variance
SV = Schedule Variance
Cost-Schedule Index (CSI) or Critical Ratio (CR) CPI x SPI
PV =
AC =
EV =
Block per Day * Days of Work * Cos
Chi-Square Test
2
Chi-Square( )Test
Statistic
Chi-square( 2 ) test statistic is used to make
statistical inferences about the equality of population
proportions for three or more populations.
p1 population proportion for population 1
p 2 population propo
CH3; mm
(C) Range
Range = Largest value Smallest value
EX 6 cont. Find the range of the data set: ( n = 5: 3, 7, 5, 8, 7).
1 _
m¥h 34%
Range: rm ~m I n
1. «6.151;
(D) Interquartile Range
(10mg?) 9 (( mih Interquartile Range = Q3 - Q1 (9913-3)
(1) Quar
CH 3: Descriptive Statistics: Numerical Measures
1. Measure of Locations
(A) Observation Notation xi: the with observation in the list of observations.
(B) Summation Notation E (SigmaComputing the sum):
Y). . l , '
WevvriteEJ£=1:1:¢=31:1+32'2+---+
CH 14: Statistical Method for Quality Control Part 1
1. Basic Concepts
(A) A Process is any business activity that takes imputes and transforms them into outputs.
(B) Quality control: A series of inspections and measurements used to determine whether
q
CH 5: Basic robability Distributions
Part 1: Discrete Probability Distribution
1. Basic Concepts
(A) Random Variable (x): is a numerical description of the outcome of an experiment.
EX 1 Tossing a fair coin twice. Let I be the random variable associate
CH 6: Continuous Probability DistributionNormal
Distribution
1. Characteristics of a Normal Distribution:
(A) The distribution is bell-shaped with mean ,u and standard deviation 0.
(B) The total area under the curve is l.
(C) The empirical rule holds.
CH 7: Sampling Distributions
1. Basic Concepts
(A) Parameter: A numerical characteristidof a population, such as a population mean ,u. a
population standard standard deviation 0, a population proportion p.
(B) Sample statistic: A sample characteristic,