analyzing data with graphs Flashcards

1
Q

name the 5 types of graphs

A
  • bar graph
  • pie chart
  • line graph
  • dotplot and histogram
  • boxplot
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2
Q

what data can you display in a bar graph?

A

categorical & numerical data

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3
Q

what data can you display in a pie chart?

A

categorical, which forms part of a total: relative frequencies

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4
Q

how many continuous variables are in a dotplot and histogram?

A

2 continuous variables (distribution of frequencies)

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5
Q

how many continues variables are in a line graph?

A

2

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6
Q

what is an example of distribution of a data set using RAW data?

A

total # of touchdown passes for canadian football league = bunch of #’s

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7
Q

how many number summaries are in a box plot?

A

5 number summaries

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8
Q

what does a frequency table do?

A

organizes the raw data by recording counts and category names

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9
Q

what are the benefits of a frequency table?

A
  • a simple method for organizing data
  • records all observed values and their frequencies
  • useful for an appropriate graph to summarize data individually
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10
Q

what does a dotplot look like?

A

each observation is shown by a dot on the graph (sort of looks like a bar graph but made out of dots)

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11
Q

what do histograms look like?

A

observations are grouped into intervals (bins or classes), each bin = vertical bar

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12
Q

what do the bins and counts give in the histogram?

A

they give the distribution of the quantitative variable

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13
Q

what is the difference between relative and absolute frequency tables?

A

relative = %
absolute = whole number

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14
Q

what do stem and leaf displays show?

A

they show the distribution of a quantitative variable, like histograms but it PRESERVES INDIVIDUAL VALUES

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15
Q

how do u make a stem and leaf display? (step 1)

A
  1. cut each data value into leading numbers (stems) and trailing numbers (leaves)
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16
Q

how do u make a stem and leaf display? (step 2)

A

use the stems (leading numbers) to label the bins

17
Q

how do u make a stem and leaf display? (step 3)

A

use only one number for each leaf

18
Q

what does a symmetric graph look like?

A

the halves on both sides mirror each other “U”

19
Q

what are the thinner ends of a distribution called

A

tails

20
Q

how can a graph be considered skewed?

A

if one tail stretches out farther than the other

21
Q

how many peaks does a unimodal have

A

one main peak

22
Q

how many peaks does a bimodal have

A

two main peaks

23
Q

how many peaks does a multimodal have

A

more than two main peaks

24
Q

what are outliers

A

extremely large or small values that don’t fit the pattern of the rest of the data

25
Q

what is the median?

A

centre of the data (exactly half the data values)

26
Q

what is the mean?

A

average = natural summary

27
Q

why is the median resistant?

A

because it isn’t affected by unusual observations or by the shape of the distribution

27
Q

when is it better to use the median?

A

if a distribution is skewed, has gaps, or has outliers

28
Q

how do u calculate the range?

A

max - min = range

29
Q

what are quartiles?

A

they divide the data into 4 equal sections

30
Q

what is Q1?

A

1/4 of the data BELOW the lower quartile

31
Q

what is Q3?

A

1/4 of the data ABOVE upper quartile

32
Q

how do we calculate IQR?

A

Q3 - Q1 = IQR

33
Q

what does IQR tell us?

A

how much territory the middle half of the data covers

34
Q

what is mode?

A

most frequent category

35
Q

what is variability

A

diversity in outcomes

36
Q

is pie used for numerical or categorical data?

A

categorical data