Midterm Concepts Flashcards

1
Q

The set of all possible outcomes of a statistical experiment is called the

A

sample
space (S)

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2
Q

Each outcome in a sample space is called an

A

element

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3
Q

In some
experiments, it is helpful to list the elements of the sample space systematically by
means of a

A

tree diagram

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4
Q

Sample spaces with a large or infinite number of sample points are best described by a

A

statement or rule method

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5
Q

An _____ is a subset of a sample space.

A

event

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6
Q

The ______ of an event A with respect to S is the subset of all elements
of S that are not in A.

A

complement

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7
Q

The ______ of two events A and B, denoted by the symbol A ∩ B, is the
event containing all elements that are common to A and B.

A

intersection

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8
Q

Two events A and B are _______, or disjoint, if A ∩ B = φ, that
is, if A and B have no elements in common.

A

mutually exclusive

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9
Q

The ______ of the two events A and B, denoted by the symbol A∪B, is the event containing all the elements that belong to A or B or both.

A

union

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10
Q

The relationship between events and the corresponding sample space can be
illustrated graphically by means of

A

Venn diagrams

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11
Q

The fundamental principle of counting, often referred
to as the ______

A

multiplication rule

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12
Q

A ______ is an arrangement of all or part of a set of objects.

A

permutation

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13
Q

Permutations that occur by arranging objects in a circle are called ________

A

circular
permutations

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14
Q

Often we are concerned with the number of ways of partitioning a set of n
objects into r subsets called

A

cells

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15
Q

In many problems, we are interested in the number of ways of selecting r objects
from n without regard to order. These selections are called _______

A

combinations

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16
Q

The likelihood of
the occurrence of an event resulting from such a statistical experiment is evaluated
by means of a set of real numbers, called weights or ________

A

probabilities

17
Q

The _______ of an event A is the sum of the weights of all sample points in
A.

A

probability

18
Q

The probability of an event B occurring when it is known that some event A
has occurred is called a ______ and is denoted by P(B|A).

A

conditional probability

19
Q

A generalization of the foregoing illustration to the case where the sample space
is partitioned into k subsets is covered by the following theorem, sometimes called
the _______

A

theorem of total probability or the rule of elimination

20
Q

A _______ is a function that associates a real number with each element
in the sample space

A

random variable

21
Q

The random variable for which 0 and 1 are chosen
to describe the two possible values is called a _______

A

Bernoulli random variable

22
Q

If a sample space contains a finite number of possibilities or an unending sequence
with as many elements as there are whole numbers, it is called a

A

discrete sample space

23
Q

If a sample space contains an infinite number of possibilities equal to the number
of points on a line segment, it is called a _______

A

continuous sample space

24
Q

In dealing with
continuous variables, f(x) is usually called the the ______, of X.

A

density function

25
Q

We shall refer
to this average value as the ____ of the random variable X

A

mean

26
Q

The positive square root of the variance, σ, is called the ______ of
X.

A

standard deviation

27
Q

The probability distribution of this discrete random variable is called
the

A

binomial distribution

28
Q

The ______ does not
require independence and is based on sampling done without replacement.

A

hypergeometric distribution

29
Q

The number X of trials required to produce k successes in a negative binomial
experiment is called a negative binomial random variable, and its probability
distribution is called the

A

negative binomial distribution

30
Q

Experiments yielding numerical values of a random variable X, the number of
outcomes occurring during a given time interval or in a specified region, are called
_____

A

Poisson experiments