Sharp el-9950 - Page 38

37
Chapter 2: Operating the Graphing Calculator
3 rndNorm( rndNorm( mean, standard deviation [,number of trial] )
Returnsarandomrealnumber
from a specified normal distribution.
*
Numberoftrial:
1
≤
n
≤
999 ( n is an integer.)
Standarddeviation:0<
s
4 rndBin( rndBin(
number of trial, probability of success [, number of
simulations]
)
Returnsarandomrealnumberfrom
a specified binominal distribution.
*Number of trial : 1
≤
n
≤
9999
Probabilityofsuccess:0
≤
p
≤
1
Numberof simulations :
1
≤
n
≤
999 ( n is an integer.)
Note: The random functions will generate different numbers every time.
Therefore, the table values of the random functions will be different
everytime.Whenincaseofrandom-basedgraphingcalculations,
the tracing values and other parameters of the graph will not match
thegraph’svisualrepresentation.
5 nPr Returnsthetotalnumberofdifferentarrangements(permutations)
forselecting“r”itemsoutof“n”items.
n
P
r
=
n!
(n – r)!
Example
• 
Howmanydifferentwayscan4
people out of 6 be seated in a
car with four seats?
6
M
C
5
4
E
6 nCr Returnsthetotalnumberofcombinationsforselecting“r”itemout
of“n”items.(Binomialdistribution)
n
C
r
=
n!
r!(n – r)!
Example
• 
Howmanydifferentgroupsof
7 students can be formed with
15 students?
1 5
M
C
6
7
E