statistical inference for namagers
TRANSCRIPT
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SI for Managers - Summary
Probability = |E|
|S|
Experiment
1- Census to gather data from population Denoted by Eng.Letter
- Sur!ey to gather data from Sample Denoted by "ree#
Letter
Variable
1- Categori$al %&ualitati!e'a. 1 Category Summary (able )ar* Pie* Pareta Chatb. Category Contingen$y table Side by Side $hart
- +umeri$al %&uantitati!e'i. Dis$reteii. Continuous
b. ,rdered rray Stem and leaf$. Distributionsd. re/uen$y Distributions 0istogram* Polygon* ,gi!e
Numerical Descriptive Measures
Central (enden$y Central alue1-
a. 2ean - x . fx or x /n b. 2edian 2iddle alue 3after arranging data in
as$ending order4 %use if outliers'
$. 2ode 2ost 5epeated alue- ariation S$attering of alue
a. 5ange = x lxs
b. arian$e = xun1 for sample* for populate
!arian$e = 2= xu
n
Empirical Rule
a. u+ = 678 of the data
b. u+
2
= 978 of the dataTypes of Event
a. Probability %:-1' CD ;ithout repla$ement
%nC
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Standard De!iation = xun Shos ris# fa$tor A if high$. Co-e$ient of arian$e = S u < 1::
d. -S$ore =xu for lo$ating e
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From the desk of ZA Monday, August !, "#!
Con.ence Interval"ypotesis
Testing
Table$op
Samp
le
1=
2
1
2 C .R .=
o
xz 2
xu
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/ Steps in "ypotesis
i- 0oJ use % s'gn
ii- 01 J De(ne % or )))) " ta'* , + or ))))) # ta'*
i ii- (est informationJ -o&u*at'on ty&e . use of ta/*e
i!- De$ision $riteria Ja*0ays (nd o + 1 Re2e3t4o
!- (esti$ Statisti$J (nd 5 o 5 6a*ue from formu*a and 3r't'3a* 6a*ue from the ta/*e!i- 5esultJ 3om&are resu*ts and g'6e 3on3*us'on
&N#V&
i- CSS = (..n (iO n# %e/ual' J (..n (iO + %une/ual'ii- (SS = ?iHO (..O n# %e/ual' J ?iHO (..O + %une/ual'iii- ESS = (SS CSSi!- ;rite all a!erages!- (est >nformation J pop type and f table for pop
!i- De$ision CriteriaJ $al A $riti$al J reHe$t 0o!ii- (esti$ Statisti$J +, ()LE
Sample Mean SM D0f MMS % calCSS alue of CSS n-1 = 1 CCS 1 = 22S1 22S1 22SESS alue of ESS K%n-1' =
+-# = for
une/ual
ESS = 22S
!iii- C5>(>CL LMEJ rom lpha e ill nd $riti$al f %1*'i