chapter 3 Flashcards

1
Q

what is the mode?

A

the value that occurs most often

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2
Q

what is the median?

A

the middle value in a list after they have been put in order

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3
Q

how to figure out the median from a group of data values with an odd amount?

A

1/2(n+1)

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4
Q

how to figure out the median from a group of data values with an even amount?

A

n/2

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5
Q

what is the mode of data in a frequency table?

A

the category or class with the highest frequency

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6
Q

what is the median of data from a frequency data?

A

1/2(n+1)th value

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7
Q

how to figure out the mean from a frequency data for discrete data?

A

total fx/ x

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8
Q

what is the median for grouped continuous data?

A

1/2nth

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8
Q

how to figure out the upper quartile from discrete data?

A

3/4 (n+1)

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8
Q

what are percentiles?

A

when a set of data is divided into 100 equal parts

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8
Q

how to figure out the median from discrete data?

A

1/2 (n+1)

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8
Q

how to figure out the lower quartile from discrete data?

A

1/4 (n+1)

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9
Q

what are deciles?

A

when data is divided into 10 equal parts

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10
Q

what is standard deviation a measure of?

A

a measure of how much the values deviate from the mean value/ how spread out they are

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11
Q

what does a box plot represent?

A
  • maximum & minimum values
  • median & upper and lower quartiles
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12
Q

what is an outlier?

A
  • any value that is more than 1.5 times the IQR below the LQ
  • any value that is more than 1.5 times the IQR above the UQ
13
Q

what is an outlier (in terms of standard deviation and mean)?

A

a value more than 3 standard deviations from the mean

14
Q

positive skew in box plots?

A

median close to the LQ

15
Q

negative skew in box plots?

A

median close to the UQ

16
Q

positive skew- mean, modian and mode?

A

mean > median > mode

17
Q

negative skew- mean, median and mode?

A

mode > median > mean

18
Q

a positive value means what for the skew?

A

positive skew

19
Q

a negative value means what for the skew?

A

negative skew

20
Q

advantages of the mode?

A
  • easy to find
  • can be used with any type of data
  • unaffected by open- ended or extreme values
21
Q

disadvantages of the mode?

A
  • there may be no mode/ there may be more than one
  • cant be used to calculate a measure of spread
22
Q

advantages of the median?

A
  • easy to calculate
  • unaffected by extreme values
  • best to use when data is skewed
  • can be used to calculate quartiles, IQR and skew
23
Q

disadvantages of the median?

A
  • may not be a data value
24
Q

advantages of the mean?

A
  • uses all the data
  • can be used to calculate standard deviation & skew
25
Q

disadvantages of the mean?

A
  • always affected by extreme values
  • can be distorted by open-ended classes
26
Q

what do you need to compare 2 or more data sets?

A
  • need to compare at least an average and a measure of spread
  • or you can compare the skew of the distribution