Statistics Flashcards

1
Q

F (x) = f/n

A

Relative frequency = frequency/ total number of data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

CDF plot

A

Fx against data point

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What does the gradient of a CDF plot mean?

A

The steepest part of CDF plot corresponds to most number of data points. Shallower CDF -> low number of data points

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Skewness?

A

Which way the curve leans how asymmetrical it is

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Positive skew

A

Skews to the left

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Negative skew

A

Skews right

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Interquartile range?

A

Difference between third quartile and first quartile

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Sample space?

A

The set Ω of all possible outcomes of an experiment

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Event?

A

A sub-set A of the sample space A c Ω

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Α n B?

A

A and B occurring together (intersection)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

A u B

A

A or B occurring (union)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

_
A?

A

Not A (complement)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Mutually exclusive?

A

Events cannot occur at same time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Independent?

A

Event is not affected by previous events

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Dependent?

A

Event is affected by other event

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Permutations?

A

Order of outcome is important

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Combinations?

A

Order of outcomes is not important

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

P(A|B)?

A

Probability of A given that B has already occurred

19
Q

P(A|B)P(B) = P(B|A)P(A) = ?

A

P(A n B)

20
Q

What does it mean if P(A|B) = P(A)?

A

Events A and B are independent

21
Q

Partitioned sample space?

A

The events are non-empty, non- overlapping whose union forms the whole sample space

22
Q

ΣP(B|A)P(A) = ? (Total probability law)

A

P(B)

23
Q

P(A|B)P(A) / P(B) = ? (bayes law)

A

P(A|B)

24
Q

P(A|B n C) P(B|C) P(C) = ?

A

P(A n B n C)

25
Q

Sx^2 = 1/(n-1) Σ(xi-x~)^2

A

Sample variance
Sample deviation = Sx
N= number of data points
x= value (each one)
x~= mean

26
Q

Vx= Sx/ x~

A

Coefficient of variation = standard deviation/ mean

27
Q

dx=1/n * Σ|xi-x~|

A

Mean absolute deviation = dx
n= number of data points
xi = data points
x~= mean

28
Q

Unbiased skewness= (n-1)/ (sqrt(n)*(n-2)(σ^3) * Σ(xi-x~)^3

A

n= number of data points
σ=standard deviation
xi= data point
x~ = mean

29
Q

Biased skewness = (1/n) * Σ(xi-x~)^3 / σ^3

A

n= number of data points
xi= data point
x~ = mean
σ= standard deviation

30
Q

What order is mode median and mean for positive skewness?

A

Mode - median - mean

31
Q

In what order is mode median and mean for a symmetric curve?

A

All equal

32
Q

In what order is mode median and mean for negative skewness?

A

Mean-> median -> mode

33
Q

cov= 1/(n-1) Σ(xi-x~)(yi-y~)

A

Sample convergence
n= number of data points
xi= each x point
x~ = mean x
yi= y point
y~ = y mean

34
Q

Cxy =1/(n-1) Σ(xi-x~)(yi-y~) / SxSy

A

Cxy= sample correlation coefficient (has to be between -1 and 1)
n= number of points
xi= x point
x~ = x mean
yi= y point
y~ = y mean
Sx= x standard deviation
Sy= y standard deviation

35
Q

What does Cxy= -1 mean?

A

Perfect negative linear correlation

36
Q

What does Cxy= 0 mean?

A

No correlation

37
Q

What Cxy= 1 mean?

A

Perfect positive linear correlation

38
Q

Variable?

A

A quantity that can vary

39
Q

Random?

A

The result will be the outcome of a random experiment

40
Q

Discrete?

A

Has a limited number of outcomes

41
Q

Continuous?

A

Has a limitless number of outcomes in between two points

42
Q

PDF=f(x) = dF(x)/ dx

A

Probability density function = the gradient of CDF plot

43
Q

What is the area under a CDF plot?

A

1

44
Q

The steepest part of a CDF plot is where on a PDF (probability density function) plot?

A

The peak