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Topic 2.2 - 2.3

Topic 2.2 - 2.3
44問 • 1年前
  • Mikyii
  • 通報

    問題一覧

  • 1

    The coefficient of Skewness measures the general shape of the distribution or the _____ of symmetry of a distribution.

    lack

  • 2

    The coefficient of ___________ measures the general shape of the distribution or the lack of symmetry of a distribution.

    Skewness

  • 3

    Skweness ranges ___ to ____ and it relates the difference between the _____ and the ________ to the ___________.

    -3, +3, mean, median, standard deviation

  • 4

    It ranges -3 to +3 and it relates the difference between the mean and the median to the standard deviation.

    Skewness

  • 5

    Skweness ranges -3 to +3 and it relates the _____________ between the mean and the median to the standard deviation.

    difference

  • 6

    The direction of the _____ tail of the distribution points the direction of the ____________.

    long, skewness

  • 7

    _____________ is extremely important to finance and investing.

    Skewness

  • 8

    By knowing which way data is _______ one can better estimate whether a given (or future) of data point will be more or less than the mean.

    skewed

  • 9

    Most advanced economic analysis models study data for _______________ and incorporate this into their calculations.

    Skewness

  • 10

    _______________ is the risk that a model assumes a normal distribution of data when in fact data is skewed to the left or right of the mean.

    Skewness risk

  • 11

    When the data values are evenly distributed on both sides of the mean.

    Symmetrical Distribution

  • 12

    Also the distribution is unimodal and the mean, median and mode are similar and are at the center of the distribution.

    Symmetrical Distribution

  • 13

    Symmetrical Distribution : Also the distribution is ___________ and the mean, median and mode are _________ and are at the ________ of the distribution.

    unimodal, similar, center

  • 14

    Positively Skewed Distribution or _______

    Right-Skewed Distribution

  • 15

    When most of the values in the data fall to the left of the mean and group at the lower end of the distribution; the tail is to the right.

    Positively Skewed Distribution or Right-Skewed Distribution

  • 16

    Positively Skewed Distribution or Right-Skewed Distribution : When most of the values in the data fall to the ______of the mean and group at the _________ end of the distribution; the tail is to the ______

    left, lower, right

  • 17

    Also, the mean is to the right of the median, and the mode is to the left of the median.

    Positively Skewed Distribution or Right-Skewed Distribution

  • 18

    Positively Skewed Distribution or Right-Skewed Distribution : Also, the _______ is to the right of the median, and the _______ is to the left of the median.

    mean, mode

  • 19

    Positively Skewed Distribution or Right-Skewed Distribution : Also, the mean is to the ______ of the median, and the mode is to the ______ of the median.

    right, left

  • 20

    Negatively Skewed Distribution or Left-Skewed Distribution : When the mass of the data values fall to the ______ of the mean and group at the _______ end of the distribution, with the tail to the ______.In addition, the mean is to the ______ of the median, and the mode is to the ______ of the median.

    right, upper, left, left, right

  • 21

    In any given two samples with the ______units of measures, the variance and standard deviation for each can be compared. In cases when one is interested to compare standard deviations of two ___________ units, coefficient of variations can be applied.

    same, different

  • 22

    The _____________ denoted by CV, is the standard deviation divided by the mean. The result is expressed as a percentage.

    coefficient of variation

  • 23

    The coefficient of variation, denoted by ____, is the standard deviation ________ by the mean. The result is expressed as a ___________

    CV, divided, percentage

  • 24

    The coefficient of variation, denoted by CV, is the ___________ divided by the _______. The result is expressed as a percentage.

    standard deviation, mean

  • 25

    ___________ is from the Greek word kyrtos or kurtos, meaning bulging.

    Kurtosis

  • 26

    Kurtosis is from the Greek word _________ or _________ meaning ___________.

    kyrtos, kurtos, bulging

  • 27

    Kurtosis is from the ________ word kyrtos or kurtos, meaning bulging.

    greek

  • 28

    In statistics _________ (or excess) is a statistical measure used to describe the distribution of observed data around the _______.

    kurtosis, mean

  • 29

    It measures the relative peakedness or flatness of a distribution.

    Kurtosis

  • 30

    Three Types of Kurtosis :

    Leptokurtic, Mesokurtic, Platykurtic

  • 31

    _____________ are distributions where values clustered heavily or pile up in the center.

    Leptokurtic

  • 32

    Leptokurtic are _____ distribution with _______ humps and ____ and _____ tails.

    tall, narrow, long, high

  • 33

    There are tall distribution with narrow humps and long and high tails.

    Leptokurtic

  • 34

    Its kurtosis is positive. (Kurtosis > 0) and it denotes a high degree of peakedness.

    Leptokurtic

  • 35

    Leptokurtic Its kurtosis is ___________ (Kurtosis > 0) and it denotes a _____ degree of peakedness.

    positive, high

  • 36

    ____________ are intermediate distribution which are neither too peaked nor too flat.

    Mesokurtic

  • 37

    Mesokurtic are intermediate distribution which are ________ too peaked nor too flat.

    neither

  • 38

    The values are immediately distributed about the center.

    Mesokurtic

  • 39

    Its kurtosis is zero (kurtosis = 0).

    Mesokurtic

  • 40

    ____________ are flat distributions with values more evenly distributed about the center with broad humps and short tails.

    Platykurtic

  • 41

    Platykurtic are _____ distributions with values _____ evenly distributed about the center with ______ humps and _____ tails.

    flat, more, broad, short

  • 42

    Its kurtosis is negative (kurtosis < 0) and it denotes a low degree of peakedness.

    Platykurtic

  • 43

    Platykurtic Its kurtosis is __________ (kurtosis < 0) and it denotes a ____ degree poof peakedness.

    negative, low

  • 44

    Symmetrical Distribution : When the data values are evenly distributed on both sides of the ______.

    mean

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    問題一覧

  • 1

    The coefficient of Skewness measures the general shape of the distribution or the _____ of symmetry of a distribution.

    lack

  • 2

    The coefficient of ___________ measures the general shape of the distribution or the lack of symmetry of a distribution.

    Skewness

  • 3

    Skweness ranges ___ to ____ and it relates the difference between the _____ and the ________ to the ___________.

    -3, +3, mean, median, standard deviation

  • 4

    It ranges -3 to +3 and it relates the difference between the mean and the median to the standard deviation.

    Skewness

  • 5

    Skweness ranges -3 to +3 and it relates the _____________ between the mean and the median to the standard deviation.

    difference

  • 6

    The direction of the _____ tail of the distribution points the direction of the ____________.

    long, skewness

  • 7

    _____________ is extremely important to finance and investing.

    Skewness

  • 8

    By knowing which way data is _______ one can better estimate whether a given (or future) of data point will be more or less than the mean.

    skewed

  • 9

    Most advanced economic analysis models study data for _______________ and incorporate this into their calculations.

    Skewness

  • 10

    _______________ is the risk that a model assumes a normal distribution of data when in fact data is skewed to the left or right of the mean.

    Skewness risk

  • 11

    When the data values are evenly distributed on both sides of the mean.

    Symmetrical Distribution

  • 12

    Also the distribution is unimodal and the mean, median and mode are similar and are at the center of the distribution.

    Symmetrical Distribution

  • 13

    Symmetrical Distribution : Also the distribution is ___________ and the mean, median and mode are _________ and are at the ________ of the distribution.

    unimodal, similar, center

  • 14

    Positively Skewed Distribution or _______

    Right-Skewed Distribution

  • 15

    When most of the values in the data fall to the left of the mean and group at the lower end of the distribution; the tail is to the right.

    Positively Skewed Distribution or Right-Skewed Distribution

  • 16

    Positively Skewed Distribution or Right-Skewed Distribution : When most of the values in the data fall to the ______of the mean and group at the _________ end of the distribution; the tail is to the ______

    left, lower, right

  • 17

    Also, the mean is to the right of the median, and the mode is to the left of the median.

    Positively Skewed Distribution or Right-Skewed Distribution

  • 18

    Positively Skewed Distribution or Right-Skewed Distribution : Also, the _______ is to the right of the median, and the _______ is to the left of the median.

    mean, mode

  • 19

    Positively Skewed Distribution or Right-Skewed Distribution : Also, the mean is to the ______ of the median, and the mode is to the ______ of the median.

    right, left

  • 20

    Negatively Skewed Distribution or Left-Skewed Distribution : When the mass of the data values fall to the ______ of the mean and group at the _______ end of the distribution, with the tail to the ______.In addition, the mean is to the ______ of the median, and the mode is to the ______ of the median.

    right, upper, left, left, right

  • 21

    In any given two samples with the ______units of measures, the variance and standard deviation for each can be compared. In cases when one is interested to compare standard deviations of two ___________ units, coefficient of variations can be applied.

    same, different

  • 22

    The _____________ denoted by CV, is the standard deviation divided by the mean. The result is expressed as a percentage.

    coefficient of variation

  • 23

    The coefficient of variation, denoted by ____, is the standard deviation ________ by the mean. The result is expressed as a ___________

    CV, divided, percentage

  • 24

    The coefficient of variation, denoted by CV, is the ___________ divided by the _______. The result is expressed as a percentage.

    standard deviation, mean

  • 25

    ___________ is from the Greek word kyrtos or kurtos, meaning bulging.

    Kurtosis

  • 26

    Kurtosis is from the Greek word _________ or _________ meaning ___________.

    kyrtos, kurtos, bulging

  • 27

    Kurtosis is from the ________ word kyrtos or kurtos, meaning bulging.

    greek

  • 28

    In statistics _________ (or excess) is a statistical measure used to describe the distribution of observed data around the _______.

    kurtosis, mean

  • 29

    It measures the relative peakedness or flatness of a distribution.

    Kurtosis

  • 30

    Three Types of Kurtosis :

    Leptokurtic, Mesokurtic, Platykurtic

  • 31

    _____________ are distributions where values clustered heavily or pile up in the center.

    Leptokurtic

  • 32

    Leptokurtic are _____ distribution with _______ humps and ____ and _____ tails.

    tall, narrow, long, high

  • 33

    There are tall distribution with narrow humps and long and high tails.

    Leptokurtic

  • 34

    Its kurtosis is positive. (Kurtosis > 0) and it denotes a high degree of peakedness.

    Leptokurtic

  • 35

    Leptokurtic Its kurtosis is ___________ (Kurtosis > 0) and it denotes a _____ degree of peakedness.

    positive, high

  • 36

    ____________ are intermediate distribution which are neither too peaked nor too flat.

    Mesokurtic

  • 37

    Mesokurtic are intermediate distribution which are ________ too peaked nor too flat.

    neither

  • 38

    The values are immediately distributed about the center.

    Mesokurtic

  • 39

    Its kurtosis is zero (kurtosis = 0).

    Mesokurtic

  • 40

    ____________ are flat distributions with values more evenly distributed about the center with broad humps and short tails.

    Platykurtic

  • 41

    Platykurtic are _____ distributions with values _____ evenly distributed about the center with ______ humps and _____ tails.

    flat, more, broad, short

  • 42

    Its kurtosis is negative (kurtosis < 0) and it denotes a low degree of peakedness.

    Platykurtic

  • 43

    Platykurtic Its kurtosis is __________ (kurtosis < 0) and it denotes a ____ degree poof peakedness.

    negative, low

  • 44

    Symmetrical Distribution : When the data values are evenly distributed on both sides of the ______.

    mean