things not on the formula sheet that we should remember (1 Viewer)

[LOOMESY]

even though the title basically asks the question

what things do we need to remember that aren't on the formula sheet?

e.g. the standard deviation percentages

thanks

 

[savio23q]

even though the title basically asks the question

what things do we need to remember that aren't on the formula sheet?

e.g. the standard deviation percentages

thanks

The surface area of an open and closed cylinder.

Closed - 2 x pi x r(squared) + 2 x pi x r x h

Open (on one end)- pi x r(squared) + 2 x pi x r x h

They might even give you one open on BOTH ends! In which case it'd be just (2 x pi x r x h). I doubt this though LOL

Oh and you have to remember the normal distribution percentages...(unless thats what you meant by standard deviation percentages)

1 Z-score - 68%
2 Z scores - 95%
3 Z scores - 99.7%

It'd probably also be beneficial to memorise most the trig formulas, the volume of shapes etc to save yourself time looking back and forth at the formula sheet.

 

[menofstudy]

What savio touched on, you should know how/when to apply the cos and sine rules you are given on the formula sheet.

Also the formulas for the gradient etc. y = mx + b

ALSO LEARN SOME PRELIMINARY RULES SUCH AS FINDING A DIVIDEND YIELD AND THE CAPTURE RECAPTURE METHOD.

Know your work basically.

 

[PC]

Areas of shapes, Triangle A = 1/2 bh, Trapezium A = 1/2 h(a + b), Circle, A = πr², and so on.

It's also worth writing down the useful conversions:
1 cm³ = 1 mL
1 m³ = 1 kL
and:
1 nm = 1.852 km
1° = 60 nm (on a great circle)
1 h = 15° (for time difference)

 

[kirst21k]

things like

15 degrees equals one hour. 1 degree equals four minutes
1 nautical mile is 1.852 kilometres
1 knot = 1 nautical mile per hour
umm. with standard deviation, the sample one is the one with minus one [our teacher said when in doubt to use that one]

know the difference in formulas for parabola, hyperbola, etc

all the different things for statistical measurement: like in preliminary how there's stratified, random, systematic, etc sampling. and discrete and continous

i remember the s.d. percentages by remembering 34%, 13.5%, 2.35%, .15% which is 50%