Numerical Summary of Measures lab Flashcards

1
Q

frequency distribution from continuos data is defined by types of descriptors kwown as

A

Parameters of a Frequency Distribution

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2
Q
  • defined as the value used to represent the center or the middle of a set of data values
  • locates observations on a measurement scale
A

Central Tendency

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3
Q
  • describes the spread of values in a given data set
  • suggests how widely spread out the observations are
A

Dispersions

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4
Q
  • the average value or the sum (∑) of all the observed values (xi) divided by the total number of observations (N)
  • has the most mathematical properties and most representative of dataset if not for outliers
A

Mean

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5
Q

X or Xi means “for each individual observation simple to calculate

A

Arithmetic Mean

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6
Q

a type of mean that is calculated by multiplying the weight (or probability) associated with a particular event or outcome with its gives differing importance to the values in a dataset

A

Weighted Mean

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7
Q

o the middle observation data when data has been arranged from highest to lowest

o when the data set is an even number (hence no natural middle point), the two middling variables are averaged to find a median

o rarely used to make inferential conclusions from, but is used frequently in healthcare and economics

A

Median

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8
Q

o the most commonly observed value (i.e., the value most frequently observed)

o has some clinical interest, but seldomly used in statistics

o if two or more values appear with the same frequency, each is a mode

o the downside to using the mode as a measure of central tendency is that a set of data may have no mode, or it may have more than one mode

A

Mode

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9
Q

a statistical measurement of the spread between numbers in a data set measures how far each number in the set is from the mean (average), and thus from every other number in the set

A

Variance

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10
Q

o the average amount of variability in your dataset

o tells you, on average, how far each value lies from the mean

A

Standard Deviation

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11
Q

o difference between the observed value of a data point and the expected value is known as deviation in statistics

o also called mean absolute deviation

A

Mean Deviation

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12
Q

a statistical term that describes a division of observations into four defined intervals based on the values of the data and how they compare to the entire set of observations

A

Quartiles

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13
Q

a type of quantiles, obtained adopting a subdivision into 100 groups

A

Percentiles

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14
Q

difference between the highest and lowest values

A

Ranges

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15
Q

difference between the third and first quartile

A

Interquartile Range

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16
Q
  • uses boxes and lines to depict the distributions of one or more groups of numeric data
  • indicate the range of the central 50% of the data, with a central line marking the median value
A

Box Plot