what are mean and median?
measures that locate centre of data !!
other names for mean
- ARITHMETIC mean
what is a property of the median?
when is this property “violated”?
usually, half of numbers are below median and half are above.
Violated when the median is repeated lots of times and list of numbers is small, because many number are not smaller / larger than median but are EQUAL to it
what are most frequent measures of spread?
what are properties of standard deviation? (2)
what is frequency distribution and what can be measured from it?
- can calculate mean, median, mode, st dev
what to watch out for when calculating statistical measures from graphs?
definition of set
a collection of numbers or objects
how to list elements in set listed and with what conditions, and what are its properties?
important definitions in a set (4) and definitions (4)
number of elements in a set, two they are calculated in a union and how is this method called
what does counting mean in sets?
refers to the number of:
2. what can it be applied to?
1.
rule that says that to know number of possible sets that can arise from 1 object apiece from each set is n*m where n is number of objects in first set from where to chose from and m is number of objects in second set from where to choose from
2.
rule can be used to find:
- combinations of 1 object apiece in many sets
- how many options you have if an experiment is repeated n times
- how many options you have if you chose one object from a decreasing set (ie decreasing by one each time) = permutation = ordering a list
1.
(nk) = (n!)/(k!(n-k)!
2.
(n k) = (n (n-k)
3.
n(n-1)(n-2)….(3)(2)(1)
4.
n! = n(n-1)!
(n+1)! = (n+1)n! = (n+1)(n)(n-1)!
flow of what counting (in sets / probability) talks about
talks about counting between different sets:
the last one talks about factorisation: multiplying every set’s number of objects (decreasing by one) by each other is like taking the factorial of the largest set / of the set’s initial size, so then we transition into what factorisation can be used for, or counting among 1 set:
combination principle of equality
combination of k choices and n-k choices (e.g. of 2 out of 7 choices and 5 out of 7 choices are the same number, because the possible combinations of 5 out of 7 are the ones you didn’t pick when choosing the 2 out of 7.
2. main terminology of DISCRETE probability
1.
probability concerning a SET of FINITE number of events
2.
probability range and meaning (3)
special types of probabilities (3)
special probabilities formula AND particular cases:
- P(E) + P(F) - P(E and F) — if E and F MUTUALLY EXCLUSIVE, then P(E) + P(F) - 0
independent and dependent sets difference and calculation of P(E)
what is estimation?
rounding a number to make a calculation less precise but quicker/simpler, by using multiples of 10^n
different types of estimation (5)