28 Graphics calculator instructions
Casio fx-9860G
To find the general term for thequadratic sequence ¡ 2 , 5 , 16 , 31 , 50 , ....,
we first notice that we have been given 5 members of the sequence. Enter the
numbers 1 to 5 intoList 1, and the members of the sequence intoList 2.
Press F2 (CALC) F3 (REG) F3 (Xˆ2).
The result is a=2, b=1, c=¡ 5 , which means the general term for the
sequence is un=2n^2 +n¡ 5.
To find the general term for thecubic sequence ¡ 3 ,¡ 9 ,¡ 7 , 9 , 45 , we enter
the numbers 1 to 5 intoList 1and the members of the sequence intoList 2.
Press F2 (CALC) F3 (REG) F4 (Xˆ3).
The result is a=1,b=¡ 2 ,c=¡ 7 ,d=5(the calculator may not always
give the result exactly as is the case withcanddin this example). Therefore
the general term for the sequence is un=n^3 ¡ 2 n^2 ¡ 7 n+5.
EXPONENTIAL REGRESSION
When we have data for two variablesxandy, we can use exponential regression to find the exponential
model of the form y=a£bx which best fits the data.
x 2 4 7 9 12
y 7 11 20 26 45
We will examine the exponential relationship betweenxandyfor the data:
Texas Instruments TI-84 Plus
Enter thexvalues intoL1and theyvalues intoL2.
Press STAT I 0: ExpReg, then 2nd 1 (L 1 ) , 2nd 2 (L 2 ) ENTER.
So, the exponential model which best fits the data is y¼ 5 : 13 £ 1 : 20 x.
POWER REGRESSION
When we have data for two variablesxandy, we can use power regression to find the power model of the
form y=a£xb which best fits the data.
x 1 3 4 6
y 3 19 35 62
We will examine the power relationship betweenxandyfor the data:
Texas Instruments TI-84 Plus
Enter thexvalues intoL1and theyvalues intoL2.
Press STAT I , then scroll down to A: PwrReg and press ENTER.
Press 2nd 1 (L 1 ) , 2nd 2 (L 2 ) ENTER.
So, the power model which best fits the data is y¼ 3 : 01 £x^1 :^71.
Casio fx-9860g
Enter thexvalues intoList 1and theyvalues intoList 2.
Press F2 (CALC) F3 (REG) F6 F3 (Pwr).
So, the power model which best fits the data is y¼ 3 : 01 £x^1 :^71.
IGCSE01
cyan magenta yellow black
(^05255075950525507595)
100 100
(^05255075950525507595)
100 100
Y:\HAESE\IGCSE01\IG01_00a\028IGCSE01_00a.CDR Tuesday, 4 November 2008 9:49:34 AM PETER