Stats final review
Ch.1
Statistics can be broken into: (1) descriptive (summarize info from samples), (2) inferential
(methods that take data from samples and make generalisations about a population)
Simple random sample- (use table 1)
Ch. 2 & 3
Data can be broken into (1) categorical and (2) numerical where (2) can be broken further
into (a) discrete (single number) and (b) continuous (numbers from an interval that includes
decimals)
Frequency tables can be used to summarize data
Example of frequency table:
M
F
Frequency (f)
2
2
Relative frequency (r.f.)
0.5
0.5
Graphical methods to summarize numerical data: histogram, boxplot, stem and leaf diagram,
dotplot
Numerical methods to summarize data:
Describe centre: mean, median, mode
Describe spread: standard deviation, Interquartile range, range
Ch. 4
f/N rule: rule that states the probability of a simple event happening is simply the number of
times the event can happen (frequency/ the number of possible times an event can happen)
Properties of probability:
1. The probability of an event is between 0 and 1
2. The probability that isn’t possible is 0
3. The probability that always happens is 1
Complement rule: P(not A)= 1 - P(A)
Addition rule: P(A) + P(B) - P(A&B)
Mutually exclusive- no common sample points in A and B
If A and B are mutually exclusive:
P(A&B) = 0 and P(AorB) = P(A) + P(B)
