*Binomial Distributions Flashcards

1
Q

What is a Bernoulli Distribution?

A

Any probability distribution with only 2 possible results, the desire result (x=1) and the undesired result (x=0)

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

In what 3 ways Bernoulli Distribution be represented?

A
  1. Piecewise function, the thing with the { and the two functions
  2. Probability Distribution Table, a table with two rows and three columns top row is x-values, bottom row is probability values
  3. Probability Bar Graph, x-values on the bottom, probability values on the side
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is p?

A

The probability of the desired result

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

What is q?

A

The probability of the undesired result

OR

q = 1 - p

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

Given that nothing extra is said, what is the mean?

A

E(x) = p

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

Given that nothing extra is said, what is the Variance?

A

V(x) = pq

OR

V(x) = p(1 - p)

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

What is the standard deviation and how is it found?

A

√V(x) = √(pq) = σ

The spread of the data

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

Given that we are told the number of trials (n) and the number of wanted results (r), the probability can be found by-

A

Binomial Formula: nCr • p^r • q^(n - r)

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

Drawing a probability histogram

1. First step?

A

Locate the n and the p
Make r and q

E.g. Draw a histogram for the probabilities of rolling a 2 on a dice 5 times
n = 5, p = 1/6

If this is the case,
• r = 0, 1, 2… n
• q = 5/6

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

Drawing a probability histogram

2. Second step?

A

Find probabilities with the Binomial Formula for all values (0 → n = r-values)

E.g. Draw a histogram for the probabilities of rolling a 2 on a dice 5 times
Do nCr p^r q^(n-r) for r = 0, 1, 2, 3, 4, 5

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

Drawing a probability histogram

3. Third step?

A

Put r-values on the x-axis, put probability on the y-axis

E.g. Draw a histogram for the probabilities of rolling a 2 on a dice 5 times
Draw the graph

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

Drawing a probability histogram

4. Fourth step?

A

Label its shape, check if it’s a slide

If there’s isn’t a slide and it’s even → symmetrical
If there is a slide
- If it’s fun (short to long) → positive skew
- If it’s not fun (long to short) → negative skew

E.g. Draw a histogram for the probabilities of rolling a 2 on a dice 5 times
Here, there’s no slide and it’s even, thus symmetrical

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

Given that we’re given a number of trials, what is the mean?

A

E(x) = np

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

Given that we’re given a number of trials, what is the variance?

A

V(x) = npq

OR

V(x) = np(1 - p)

note with the same standard deviation formula √V(x)

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

A sample population is?

A

A small portion of the total population, given as s

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

An observation (desired result) is?

A

The number of those with a desired trait in the small population, given as d

17
Q

A sample proportion is?

A

The probability of finding a desired trait within a small portion, given as p^ = d/s

18
Q

Given that we’re told it’s a sample, what is the mean?

A

E(x) = p = p^ = d/s

19
Q

Given that we’re told it’s a sample, what is the variance?

A

V(x) = p^q^/s

20
Q

Finding the probability of a sample proportion

1. First step?

A

Find the z score, approximate to 2 decimals

21
Q

Finding the probability of a sample proportion

2. Second step?

A

Check the table for the t-score:
If it’s less than question → straight to the t-score
If it’s greater than question → 1 minus the t-score
If it’s between question → bigger t-score minus the smaller t-score

  • note* table is in page 633-34
  • note* only works for normal distributions
22
Q

A z-score can be found with the formula, and WHATS so special about this one (binomials)?

A

z = (x - μ)/σ

x = probability of a given event happening
μ = p^ = d/s
σ = √(p^q^/s)
23
Q

If we are given p^, what is q^?

A

q^ = 1 - p^