Data Interpretation Flashcards

1
Q

–measurements (such as length, mass, and speed) that provide information about quantities in numbers

A

QUANTITATIVE DATA

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2
Q

information (colors, scents, shapes, tastes) that can NOT be measured using numbers

A

QUALITATIVE DATA

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3
Q

information that can be expressed only by a specific value (ie. whole or half number)

example: people can only be counted in whole numbers, therefore a population count is this type of data

A

DISCRETE DATA

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4
Q

information (ie time, temperature) that can be expressed by ANY value WITHIN A GIVEN RANGE

A

CONTINUOUS DATA

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5
Q

information that can be placed in NUMERICAL ORDER

-age, weight

A

ORDINAL DATA

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6
Q

information that can NOT be placed in numerical order

-names, places

A

NOMINAL DATA

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7
Q

information that has been collected directly from a survey, experiment, study, investigation
-when this type of data has not yet been analyzed it’s considered raw data

A

PRIMARY DATA

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8
Q

information that has been collected, sorted, and processed by the researcher

A

SECONDARY DATA

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9
Q

a graph that uses _____ to compare data; includes a scale that identifies the units being measured

A

BAR GRAPH

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10
Q

a graph that connects points to show how data increases or decreases over time
-the timeline is the horizontal axis

A

LINE GRAPH

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11
Q

a graph that uses pictures or symbols to show data

  • a key will identify what each symbol represents
  • generally, each symbol stands for 1 or more objects
A

PICTOGRAPH

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12
Q

a diagram used to compare parts of a whole

  • a full ____ represents the whole, and is divided into sectors that each represent something that is part of the whole
  • the size of each sector is determined by the percentage of the whole that the associated quantity represents
A

PIE CHART or CIRCLE GRAPH

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13
Q

a special type of bar graph where the data are grouped in intervals (ie for ages 20-29, 30-39, 40-49).
-the frequency (the # of times a value occurs in each interval) is indicated by the height of the bar

A

HISTOGRAM

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14
Q

each piece of data is split into 2 parts

  1. left/first part
  2. right/second part
    - lets you see which values fall into a specific range
    - keeps all of the original data
    - works best with small sets of data
A

STEM AND LEAF PLOT

  1. stem
  2. leaf
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15
Q

a regression that uses an I.V.

A

SIMPLE REGRESSION

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16
Q

useful for knowing the types of functions that are given with the data
-helpful for finding the simple regression

A

SCATTER PLOT

17
Q

is an input into a system that may take on values freely

A

INDEPENDENT VARIABLE

18
Q

changes as a consequence of changes in other values (in the equation)

A

DEPENDENT VARIABLE

19
Q

most useful when data is approximately normal, does not contain extreme outliers (ie there is little variation)
-the sum of the data points divided by the number of data points

A

THE MEAN

20
Q

a more appropriate measure of central tendency when data shows much variation
-gives a better idea of a “typical” data point

its the value in the middle of the data set; 50% of the data points lie above it and 50% of the data points lie below it
-average of the middle 2 data points

A

THE MEDIAN

21
Q

useful to get a general sense of the shape of distribution; shows where the peaks of the distribution are
-value that appears most often in the data set

A

THE MODE

22
Q

difference between the highest and lowest value in the distribution of a data set

A

THE RANGE

23
Q

more of its values to the left of the peak

-longer/fatter tail on the left side of the peak

A

SKEWED LEFT

24
Q

more of its values to the right of the peak

-longer/fatter tail on the right side of the peak

A

SKEWED RIGHT

25
Q

if a distribution has a single peak, it is considered

A

UNIMODAL

26
Q

if a distribution has two discernible peaks

A

BIMODAL

27
Q

a distribution in which there is no distinct peak or variation in the data

A

UNIFORM distribution