Chapter Two Flashcards

(34 cards)

1
Q

define data.

A

some kind of measurement or observation, must be defined and chosen clearly, then measure it

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2
Q

define variable.

A

some aspect or quality that varies or changes among the population

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3
Q

what is qualitative data? what is another name for this type of data?

A
  • something that is not a number, often includes a visual feature or characteristic
  • includes numbers that have been categorized
  • also called categorical data
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4
Q

what is quantitive data? what is another name for this type of data?

A
  • number or quantity
  • also called numerical data
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5
Q

what are the two types of qualitative data?

A
  1. ordinal
  2. nominal
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6
Q

what is ordinal categorical data?

A

there is a natural order to the categories, (eg) feelings

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7
Q

what is nominal categorical data?

A

there is no natural order to the categories, not alphabetical, (eg) colours

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8
Q

define frequency/count.

A

the number of times a particularly value occurs, only one category is shown

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9
Q

define frequency distribution.

A

list or table with each category and the frequency, contains multiple categories

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10
Q

define proportions/relative frequencies.

A

number of one category divided by the total number of subjects

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11
Q

what does the greek letter sigma mean?

A

means add up all things on the right

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12
Q

how is qualitative data shown? in terms of graphical summaries.

A
  • bar chart (list of categories on a side and bars corresponding to categories count/proportion/%)
  • pie chart (circle divided into areas of size matching percentages)
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13
Q

what are the two types of numeric data?

A
  1. discrete
  2. continuous
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14
Q

what is discrete numerical data?

A

stuff that we can count (countable), be put in a list, and consists of integers

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15
Q

what is continuous numerical data?

A

any number in a range or interval, with infinitely many decimal places, value cannot be put in a list

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16
Q

how is numerical data organized?

A

numbers are grouped into classes or bins

17
Q

what must happen in order to organize numerical data?

A

we have to lose something (like the infinitely many decimals)

18
Q

how many bins are typically used when sorting numerical data?

A

5 - 20 bins (so we do not lose a lot of data but is still more easily understandable

19
Q

what is single-value grouping of numerical data?

A

no grouping, every value is in its own section, used almost exclusively with discrete data

20
Q

what is cut point grouping of numerical data?

A

continuous numerical data sorted by using intervals or ranges with a lower cut point (minimum) and an upper cut point (maximum)

21
Q

what does a square bracket mean? “[”

A

means the number is included

22
Q

what does a round bracket mean? “(“

A

means the number is not included

23
Q

what is a histogram?

A

used to display quantitive data, we count how many values are in each interval (category)

24
Q

what is the benefit of using a stem-and-leaf or dot plot over a histogram? what are these plots ideal for?

A
  • lots of details included
  • good for small data sets
25
what are histograms good for?
- large data sets - summarizes the data
26
what is the benefit of using a histogram over a dot or stem-and leaf plot? what are these plots ideal for?
- a summary of data - goof for large data sets
27
what is the distribution of a data set?
- how things are spread out so some kind of display (graph, table, formula, array) - some way of describing how common different values are
28
what are the three things the distribution of a data set based on?
- modality - skewness vs symmetry - tail weight
29
what is meant by the "modality" in terms of a distribution of shape?
- number of peaks, spike, tops, hills
30
what does it mean if if a graph has "uniform" distribution?
no modes (aka flat)
31
what does it mean if if a graph has "unimodal" distribution?
one distinct mode (peak)
32
what does it mean if if a graph has "bimodal" distribution?
two distinct modes (peaks) with a clear valley between them
33
what does it mean if if a graph has "multimodal" distribution?
two or more modes (peaks) (we would say three or more
34