2024-10-29T22:32:00+03:00[Europe/Moscow] en true <p>A _______ ______ is an event that cannot be further broken down</p>, <p>Formula for P(A|B)</p>, <p><strong>The addition rule</strong></p><p></p><p>Formula for P(A or B)</p>, <p><strong>The multiplication rule</strong></p><p></p><p>Formula for P(A and B)</p>, <p>An _______ is a collection of results or outcomes of a procedure</p>, <p>The ________ of an event tells us how likely that event is to occur, values lie between __ and __ , the smaller the value the less likely the _____ to occur</p>, <p>The _____ _____ consists of all possible simple events</p>, <p>Flipping a coin three times and getting {H H H} is an ____ and a _____ _____ because there is only ____ way to get three heads in three coin flips</p>, <p>Flipping a coin three times and getting 2 heads and 1 Tails is an _____ , but not a _____ _____ because the pattern could have occurred as HTH, HTH, or HTH</p>, <p>A deck of cards has</p><p>____ cards total</p><p>____ red cards</p><p>____ red diamonds</p><p>____ red hearts</p><p>____ black cards</p><p>____ black spades</p><p>____ black clubs</p><p>of the 13, they are numbered as [____] , where __, __, and __ are face cards</p><p>__ is not a face card</p>, <p>A _______ _______ is made up of more than one simple event</p>, <p>The ____ ____ ______ _____ refers to how the more times a procedure is repeated, the closer it is to the true probability</p>, <p><strong>Properties of probabilities</strong></p><p></p><p>&nbsp;For ___ _____ ___ , 0 ≤ P(A) ≤ 1</p>, <p><strong>Properties of probabilities</strong></p><p></p><p>If P(A) = 0, then A is an _______ _______</p>, <p>If P(A) = 1, then A is a ______ _______</p>, <p>An event is unlikely if P(A)&nbsp;≤ _____</p>, <p><em>Two events A and B are independent if and only if:</em></p><p>_____ __ ____</p><p>Because A is not impacted by the probability of B</p><p></p><p>_______ __ ___</p><p>Because B is not impacted by the probability of A</p><p></p><p>___________ __ ___ __ ____</p>, <p><strong>Independent events</strong></p><p></p><p>Two events, A and B, are __________ if the occurrence of one _______ affect the probability of the occurrence of the other&nbsp;</p><p>If two events are not independent they are called <strong>_________</strong></p>, <p><strong>With replacement</strong></p><p></p><p>Each member of the population is replaced after it is picked, so the member has the possibility of being chosen<em> more than once</em></p><p>When sampling is done <em>with replacement</em>, the events are <strong>_____________</strong></p>, <p><strong>Without replacement</strong></p><p>Each member of the population may only be<em> chosen once</em></p><p>In this case, the probabilities for the second pick are affected by the result of the first pick, so they are ___________</p>, <p><strong>Mutually exclusive events</strong></p><p>Two events A and B are <em>mutually exclusive</em> or <em>disjoint</em> if they cannot occur at the same time&nbsp;</p><p>Mutually exclusive if _________ __ ___</p><p></p><p>If they A and B are mutually exclusive, then __________ __ _____ _ _____</p>, <p>P(B|A) is an example of _________ _________</p>, <p><strong>Theoretical probability of an event</strong></p><p></p><p>The _______ ________ to probability refers to the formula</p><p>P(A) = ______ of ________ in event A / The _____ _______ of _______ in the ______ ______</p>, <p>P(A’) <sub>(“ A prime”) <sup> </sup></sub>refers to the _________ of A, the outcomes of A’ that are not in A</p><p></p><p>Flipping a coin and getting a heads, _____ would be the complement</p><p></p><p><strong>P(A’) = _________</strong></p><p><strong>P(A) = ___________</strong></p>, <p><strong>Random variable<em> (X)</em></strong></p><p>The _______ _________ is represented by an <em>__</em>, a variable that has a ______ ________ _______, determined by ______, for each _______ of a procedure</p>, <p>a _______ _______ _______<strong>&nbsp;</strong>has either a _______ number of values or countable number of values</p>, <p>a _________ ________ __________&nbsp;has either an ________ number of values and the values can be associated with measurements on a continuous scale</p>, <p><strong><u>Experimental probability of an event</u></strong></p><p></p><p>The ________ ________ __________ is read as P(A) or the P of "A", the probability that event "A" occurs</p><p></p><p>The formula is P(A) = _______ of times ______ ____ occurs / the _____ _____ of times the procedure is _______</p>, <p><strong>Requirements for Probability Distribution</strong></p><p></p><p>__&nbsp; ≤ ___&nbsp; ≤ __ for all x</p><p>∑p(x) = __</p>, <p><strong>Binomial Distribution</strong></p><p>A discrete probability distribution that meets <strong>4 </strong>requirements or criteria&nbsp;</p><p></p><p>There is a ______ number of _____</p><p></p><p>The trials are _________</p><p></p><p>All outcomes can be categorized as _______ or ______</p><p></p><p>The probability of ______ is the _____ in all the ______</p>, <p>_________ __________ is a type of probability derived from an individual's personal judgment or own experience about whether a specific outcome is likely to occur</p> flashcards
statistics and probability terms and definitions test 2

statistics and probability terms and definitions test 2

  • A _______ ______ is an event that cannot be further broken down

    simple event

  • Formula for P(A|B)

    P(A|B) = P(A and B) / P(B)

  • The addition rule

    Formula for P(A or B)

    P(A or B) = P(A) + P(B) - P(A and B)

  • The multiplication rule

    Formula for P(A and B)

    P(A and B) = P(A)*P(B|A)

  • An _______ is a collection of results or outcomes of a procedure

    event

  • The ________ of an event tells us how likely that event is to occur, values lie between __ and __ , the smaller the value the less likely the _____ to occur

    probability

    0

    1

    event

  • The _____ _____ consists of all possible simple events

    sample space

  • Flipping a coin three times and getting {H H H} is an ____ and a _____ _____ because there is only ____ way to get three heads in three coin flips

    event

    simple event

    one

  • Flipping a coin three times and getting 2 heads and 1 Tails is an _____ , but not a _____ _____ because the pattern could have occurred as HTH, HTH, or HTH

    event

    simple event

  • A deck of cards has

    ____ cards total

    ____ red cards

    ____ red diamonds

    ____ red hearts

    ____ black cards

    ____ black spades

    ____ black clubs

    of the 13, they are numbered as [____] , where __, __, and __ are face cards

    __ is not a face card

    52

    26

    13

    13

    26

    13

    13

    2,3,4,5,6,7,8,9,10

    J Q K

    A

  • A _______ _______ is made up of more than one simple event

    compound event

  • The ____ ____ ______ _____ refers to how the more times a procedure is repeated, the closer it is to the true probability

    law of large numbers

  • Properties of probabilities

     For ___ _____ ___ , 0 ≤ P(A) ≤ 1

    any event A

  • Properties of probabilities

    If P(A) = 0, then A is an _______ _______

    impossible event

  • If P(A) = 1, then A is a ______ _______

    certain event

  • An event is unlikely if P(A) ≤ _____

    0.05

  • Two events A and B are independent if and only if:

    _____ __ ____

    Because A is not impacted by the probability of B

    _______ __ ___

    Because B is not impacted by the probability of A

    ___________ __ ___ __ ____

    P(A|B) = P(A)

    P(B|A) = P(B)

    P(A and B) = P(A) * P(B)

  • Independent events

    Two events, A and B, are __________ if the occurrence of one _______ affect the probability of the occurrence of the other 

    If two events are not independent they are called _________

    independent

    does not

    dependent

  • With replacement

    Each member of the population is replaced after it is picked, so the member has the possibility of being chosen more than once

    When sampling is done with replacement, the events are _____________

    independent

  • Without replacement

    Each member of the population may only be chosen once

    In this case, the probabilities for the second pick are affected by the result of the first pick, so they are ___________

    dependent

  • Mutually exclusive events

    Two events A and B are mutually exclusive or disjoint if they cannot occur at the same time 

    Mutually exclusive if _________ __ ___

    If they A and B are mutually exclusive, then __________ __ _____ _ _____

    P(A and B) = 0

    P(A or B) = P(A) + P(B)

  • P(B|A) is an example of _________ _________

    conditional probability

  • Theoretical probability of an event

    The _______ ________ to probability refers to the formula

    P(A) = ______ of ________ in event A / The _____ _______ of _______ in the ______ ______

    Classical approach

    P(A)

    number outcomes

    total number outcomes sample space

  • P(A’) (“ A prime”) refers to the _________ of A, the outcomes of A’ that are not in A

    Flipping a coin and getting a heads, _____ would be the complement

    P(A’) = _________

    P(A) = ___________

    complement

    tails

    1 - P(A)

    1 - P(A')

  • Random variable (X)

    The _______ _________ is represented by an __, a variable that has a ______ ________ _______, determined by ______, for each _______ of a procedure

    random variable

    X

    single numerical value

    chance

    outcome

  • a _______ _______ _______ has either a _______ number of values or countable number of values

    discrete random variable

    finite

  • a _________ ________ __________ has either an ________ number of values and the values can be associated with measurements on a continuous scale

    continuous random variable

    infinite

  • Experimental probability of an event

    The ________ ________ __________ is read as P(A) or the P of "A", the probability that event "A" occurs

    The formula is P(A) = _______ of times ______ ____ occurs / the _____ _____ of times the procedure is _______

    relative frequency approximation

    number event A

    total number repeated

  • Requirements for Probability Distribution

    __  ≤ ___  ≤ __ for all x

    ∑p(x) = __

    0 p(x) 1

    1

  • Binomial Distribution

    A discrete probability distribution that meets 4 requirements or criteria 

    There is a ______ number of _____

    The trials are _________

    All outcomes can be categorized as _______ or ______

    The probability of ______ is the _____ in all the ______

    fixed trials

    independent

    success failure

    success same trials

  • _________ __________ is a type of probability derived from an individual's personal judgment or own experience about whether a specific outcome is likely to occur

    subjective probability