ch 2. presenting data Flashcards

1
Q

frequency distribution defn

A

• Frequency distribution shows the freq of each meas of a variable (in a table)

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2
Q

relative frequency defn

A

• Relative frequency- the number of times a partic observation occurs divided by the total number of observations

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3
Q

what would present a bigger picture the relative freq or the freq distibution

A

freq distribution

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4
Q

cumulative freq defn

A

• Cumulative frequency lists the number of observations with a value less than the max value of the variable interval see page 15 eg if you have 9 pts discharged on day 3 or earlier the total includes all pts that stayed 0,1,2,3 days added up.

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5
Q

cumulative relative freq

A

calculated by adding together all the relative freq less than or equal to the selected upper limit point

can make it into % to understand better

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6
Q

grouped freq

A

• Grouped frequencies are freq distributions with distinct intervals or groups to simplify info.

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7
Q

what is the drawback of using grouped frequencies

A

Some info is lost this way esp if you use large intervals

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8
Q

cumulative percentage defn

A

• Cumulative percentage-the % of obs with a value less than the max value of the variable interval (same idea as cumulative freq but in %)

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9
Q

what is a quantile

A

• Quantiles—two kinds-percentiles and quartiles

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10
Q

quartile

how is a percentile different

A

(divide a data set into four equal parts with first uartile being the 25th percentile, second quartile is 50th percentile etc)

percentile divides a data set into 100 equal portions

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11
Q

percentile rank

A

the % of observations lower than that score in a freq distribution

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12
Q

what kind of data does a bar chart show

is it often used when each answer is distinct and in no particular order

A

• Bar chart-show nominal categorical data. Often used when there are spaces between bars and each answer is distinct and in no partic order

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13
Q

histogram defn

what kind of data are they gen used for

A

• Histograms are a type of bar chart often w no spaces bet bars as theyre often for continuous or ordinal data

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14
Q

what kind of data are line graphs best for showing

A

• Line graphs are best for showing continuous variables that change over time

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15
Q

outlier defn

A

• Outliers are data that are outside the expected relationship

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16
Q

scatterplot

A

• Scatterplots . each point shows how one subject relates to two variables

17
Q

what does it mean when points are close together or seem to follow a line closely

A

the relationship bet variables on horizontal and vertical axes are relatively strong

18
Q

if scatterplot indicates positive relationship what would this look like

and negative

A

o When the dots go from bottom left and go up this indicates a positive relationship (as one inc the other inc as well eg ht and wt)
o If they start in upper left and go down towards right then its neg relationship

19
Q

if charting nominal data what might you use

A

bar chart

20
Q

if wanting to graph ordinal or continuous data might use

A

histogram

21
Q

to graph continuous variables that change over time might use

A

scatterplot