Chapter 2 Flashcards

(30 cards)

1
Q

Frequency table

A

Shows the counts of each categorical variable

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2
Q

Proportion

A

Number who agree/ total

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3
Q

Two way table

A

A visual used to show the relationship between 2 categorical variables

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4
Q

Dotplot

A

Dot placed over the axis for each case in the dataset. Good for small data sets

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5
Q

Histogram

A

Groups quantitative data into bins. X axis is numeric

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6
Q

Bar charts

A

Splits categorical data up into fixed groups. X axis is not numeric

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7
Q

Symmetric distribution

A

If folded over s vertical line, the two sides of the plot match closely

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8
Q

Skewed distribution

A

Data is piled up on one side of the graph

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9
Q

Right skew

A

data piled to the left, tail extends right

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10
Q

Left skew

A

data piled to the right, tail extends left

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11
Q

Bell shaped distribution

A

Plot is symmetric and bell shaped

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12
Q

Resistance

A

A stat is relatively unaffected by extreme values. Median is resistant, mean is not

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13
Q

Outlier

A

Observed value is noticeably distant from other data points

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14
Q

Standard deviation

A

Measures the spread of the data in a sample

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15
Q

The larger the standard deviation…

A

The more data variability

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16
Q

95% rule

A

If distribution is bell shaped, 95% of the data falls within two standard deviations of the mean

17
Q

Z score

A

Tells how many standard deviations a data value is from the mean and can determine how unusual it is

18
Q

How to find a z score

A

(Value - mean) / standard deviation

19
Q

Percentiles

A

The pth percentile is the value of a qualitative variable greater than p% of the data

20
Q

Five number summary

A

Minimum, maximum, median, Q1 and Q3. This set divides the datasets into fourths

21
Q

Interquartile range

22
Q

Range

A

Maximum - minimum

23
Q

Box plot

A

Graphical display of the 5 number summary for a single quantitative variable

24
Q

Side by side graph

A

Used when there’s 1 categorical and one quantitative variable. Includes a graph for the q variable for each group in the c variable

25
Bubble plot
A scatter plot where the size of the point depends on another variable
26
Time series plot
Plot that places time on the horizontal axis and a quantitative variable on the vertical. Helps visualize trends over time
27
Spaghetti plots
Plot all available measurements and connect the points within each subject with a line
28
Residuals
Difference between observed and predicted values of the response variables
29
Residual calculation
Observed value - predicted
30
Negative residuals are ___ the line Positive residuals are ___ the line
Below, above