Statistics Flashcards

(19 cards)

1
Q

Var(X) = …

A

E(X^(2)) - (E(X))^(2)

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

E(aX + b) = …

A

aE(X) + b

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

E(X + Y) = …

A

E(X) + E(Y)

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

Var(aX + b) =

A

a^(2) Var(X)

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

P(X = x) = …

A

( e^-λ )( λ^x ) / ( x! )

** In the formula book

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

In order for a Poisson distribution to be a suitable model, what must the events that occur be?

A
  • Independently
  • Singularly in Space or Time
  • At a Constant, Average Rate
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

In order for a Binomial distribution to be a suitable model, what must the events that occur be?

A
  • Cosistant probability each trial
  • Fixed number of trials
  • Independent
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

If ‘X ~ Po(λ)’ and ‘Y ~ Po(μ)’ are independent and within the same limitation :

X + Y = …

A

Po(λ + μ)

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

What is the value of Mean in a poisson distribution?

A

λ

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

What is the value of Mean in a binomial distribution?

A

np

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

What is the value of Varience in a binomial distribution?

A

np(1 - p)

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

What is the value of Varience in a poisson distribution?

A

λ

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

X^(2) = …

A

Σ ((O - E)^(2) / E)

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

When is a Poisson distribution a suitable approximation for binomial distribution?

A
  • when n is large
  • when p is small
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

How do you calculate the degrees of freedom (one-way table)?

A

df = Number of cells - number of constraints :

  • subtract 1 if you know the number of trials.
  • subtract 1 if you know the probability of success for a trial.

*This is after cells have been merged.

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

X^(2) = …

A

Σ ((O - E) / E)

15
Q

How do you calculate the degrees of freedom (two-way table)?

A

df = (Row - 1)(column -1)

*This is after cells have been merged.

16
Q

How do you calculate the expected frequency of a two-way table?

A

Expected Frequency = (Row Total)(Column Total) / (Grand Total)

17
Q

What is the p-value?