stats unit 1 chapter 1

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41 Terms

1
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individual

person or object described in the data set

2
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variable

- any characteristic, number, or quantity that can be measured or counted
- types: categorical and quantitative

3
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categorical variable

- takes on names or labels
- places individual into groups
- ex: eye color

4
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quantitative variable

- takes on numeric values
- types: discrete and continuous
- ex: class size

5
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discrete variable

- fixed set of possible values
- ONLY WHOLE NUMBERS

6
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continuous variable

- any value in an interval on the number line
- decimals

7
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bar graph

- each bar represents frequency or relative frequency for each category
- used to compare discrete or categorical variables (counts)
- bars don't touch

<p>- each bar represents frequency or relative frequency for each category<br>- used to compare discrete or categorical variables (counts)<br>- bars don't touch</p>
8
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side-by-side bar graph

knowt flashcard image
9
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pie chart

knowt flashcard image
10
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segmented bar graph

stack up the bars to make 100%

<p>stack up the bars to make 100%</p>
11
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mosaic plot

segmented bar graph where the width of the bars is proportional to group size

<p>segmented bar graph where the width of the bars is proportional to group size</p>
12
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dot plot

knowt flashcard image
13
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association

if knowing the value of one variable helps us to predict the value of the other variable

14
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descriptive statistics

describing something

15
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inferential statistics

- drawing conclusions that go beyond the data at hand
- using sample data to make an inference about population

16
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misleading graphs

- vertical axis should start at 0
- be wary of pictographs

17
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marginal relative frequency

- totals
- ex: 53/121

<p>- totals<br>- ex: 53/121</p>
18
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joint relative frequency

- in the table and total
- ex: 7/121

<p>- in the table and total<br>- ex: 7/121</p>
19
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conditional relative frequency

- within the table
- ex: 7/53

<p>- within the table<br>- ex: 7/53</p>
20
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symmetric

- right side approximately mirrors left side
- mean ≈ median
- use mean and standard deviation to describe

21
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skewed to the right

- right side of the graph is longer
- mean > median
- use median to describe

<p>- right side of the graph is longer<br>- mean &gt; median<br>- use median to describe</p>
22
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skewed to the left

- left side of the graph is longer
- mean < median
- use median to describe

<p>- left side of the graph is longer<br>- mean &lt; median<br>- use median to describe</p>
23
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describing distributions

- include context
- shape: skewness, symmetric, bimodal
- outliers
- center: mean (symmetric), median (skewed/outlier)
- variability: how spread out data is

24
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stem plots

turn stemplot to the side and you can read it like a dot plot

<p>turn stemplot to the side and you can read it like a dot plot</p>
25
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histograms

- vertical axis shows the frequency or relative frequency
- use percents or proportions on vertical axis
- bars touch

<p>- vertical axis shows the frequency or relative frequency<br>- use percents or proportions on vertical axis<br>- bars touch</p>
26
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median

- midpoint
- resistant to outliers
- used to explain skewness and outliers

27
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mean

- average
- affected by outliers
- used to explain symmetry

28
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range

- maximum - minimum
- not a resistant measure of variability

29
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standard deviation

- distance of values from the mean
- larger value indicate greater variability
- affected by outliers (nonresistant)
- always greater than or equal to 0
- "n" is how many terms there are

<p>- distance of values from the mean<br>- larger value indicate greater variability<br>- affected by outliers (nonresistant)<br>- always greater than or equal to 0<br>- "n" is how many terms there are</p>
30
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sample variance

standard deviation without the square root

31
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measures of center

- mean
- median

32
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measures of variability

- range
- standard deviation
- "the context typically varies by SD from the mean of x̄"

33
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interquartile range

Q3-Q1

34
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box plots

outliers are a dot separate from the box plot

<p>outliers are a dot separate from the box plot</p>
35
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first quartile

median of values left of the median in the ordered list

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third quartile

median of values right of the median in the ordered list

37
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five number summary

minimum, Q1, median (Q2), Q3, maximum

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low

___ outliers < Q1 - 1.5IQR

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high

___ outliers > Q3 + 1.5IQR

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outliers

influences mean, range, and standard deviation

41
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comparing distributions

- shape
- outlier (1.5IQR rule)
- center (mean, median)
- variability (standard deviation, IQR, range)