Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

EDA > LESSON 1 > Flashcards

LESSON 1 Flashcards

1
Q

is deterministic

A

Statistics

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

is probabilistic

A

Probability

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

the process which an observation (or measurement) data is obtained through either uncontrolled events in nature or controlled situations in a laboratory.

A

Experiment

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

the set whose elements are all the possible outcomes of an experiment.

A

Sample Space

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

elements in a sample space

A

Sample Points

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

has a finite number of outcomes

A

Finite Sample Space

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

has an infinite number of outcomes

A

Infinite Sample Space

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

a subset of the sample space.

A

Event

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

an event that contains one sample point.

A

Simple Event

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

has no outcomes, cannot occur.

A

Null Space {} or Empty Set Ø

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

consists of all outcomes that are contained in one event or the other.

A

The Union of Two Events

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

consists of all outcomes that are contained in one event and the other.

A

The Intersection of Two event

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

is the set of outcomes in the sample space that are not contained in the event.

A

The Complement of an Event

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

are the three special rules, or counting techniques, used to determine the number of outcomes in events.

A
  1. Multiplication rule
  2. Permutation rule
  3. Combination rule
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

is the likelihood or chance that a particular outcome or event from a random experiment will occur.

A

Probability

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

can often be determined from the probabilities of the individual events that comprise them.

A

Probabilities of joint events

17
Q

can be rewritten to generalize a multiplication rule.

A

Conditional Probability

18
Q

was an English mathematician and Presbyterian minister.

A

Thomas Bayes (1702-1761)

19
Q

is a function that assigns a real number to each outcome in the sample space of a random experiment. It may also be fixed or continuous.

A

Random Variables

20
Q

is a random variable with a finite or countably infinite range. Its values are obtained by counting.

A

Discrete random variable

21
Q

is a random variable with an interval (either finite or infinite) of real numbers for its range. Its values are obtained by measuring.

A

Continuous random variable

22
Q

A binomial trial can result in a success with probability p and a failure with probability q = 1 – p.

A

Binomial Distribution

23
Q

if repeated independent trials can result in a success with probability p and a failure with probability q = 1 – p.

A

Negative Binomial Distribution

24
Q

the probability distribution of the Poisson random variable X, representing the number of outcomes occurring in a given time interval or specified region denoted by t.

A

Poisson Distribution

EDA (1 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions