Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Fall Quarter 22-23 > PSC 012 - Data Visualization > Flashcards

PSC 012 - Data Visualization Flashcards

1
Q

the 3 essential elements of good info are…

A
  1. rich content
  2. inviting visuals
  3. sophisticated execution
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

the 4 essential steps to chart data are…

A
  1. research
  2. edit
  3. plot
  4. review
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

charting is…

A

putting series of numbers in close proximity to visually and narratively convey information

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

what is the upside of using numbers?

A

looks more precise/concrete

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

how do you make data speak for itself? why should you?

A

no distracting visuals, highlight the story the data is telling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

if you supply the reference point…

A

you control the message

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what is an example of a reference point?

A

answers may vary

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

in terms of charting, what is an example of a reference point?

A

answers may vary

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

if you are predicting future data, you should always…

A

define your arbitrary numbers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

when is more data good? why is it bad later on?

A

during research phase, might drown out message/story

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

serif vs sanserif

A

serif has extra strokes, sanserif does not

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what is type size and what is its unit of measurement?

A

height of print block for letter, points

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what is leading?

A

vertical height of baseline to the baseline of the next line

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

nine rules of legibility

A
  1. bold and italics
  2. small and condensed
  3. color blocks and white text
  4. highly stylized
  5. hyphenation
  6. all caps
  7. tracking
  8. text at an angle
  9. leading
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

what is the formula for percent changes?

A

((old # - new #)/old #)*100%

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

percentages vs. percentage points vs. basis points

A

100%, 1.0, 100

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

why are baseline numbers important?

A

show which starting point a percentage point starts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

absolute value vs. percentage changes in charts

A

shape is the same, percentage changes can show baselines

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

should you average percents? how

A

only if they share same base, otherwise recalculate

20
Q

how do you average percentages?

A

((c+d)/(e+f))*100%

21
Q

how do you calculate percentage of a percentage?

A

(a/100)*b%

22
Q

quantitative data

A

data about qualities, usually written form and open ended

23
Q

quantitative data

A

data of quantities, usually numbers, or standard categories

24
Q

give example of quantitative and qualitative data

A

answers may vary

25
Q

categorical data

A

usually in words, alike to qualitative data

26
Q

continuous data

A

usually in numbers, alike to quantitative data

27
Q

main effect, simple effect

A

effect of one predictor on one outcome

28
Q

additive relationship

A

???

29
Q

what makes an experiment an experiment?

A
  1. equivalent groups
  2. manipulate predictor
  3. measure outcome
30
Q

what is an example of an additive relationship? interactive relationship?

A

answers may vary

31
Q

outcome goes at the x-axis, true or false

A

false

32
Q

broken bars are good for outliers that are the point of the data. true or false

A

false

33
Q

if the mean and median are not on top of each other, it is likely the distribution is…

A

skewed

34
Q

is it possible to eliminate random sampling error from a sample of 6,000 people?

A

impossible, regardless of sample size

35
Q

what is the difference between quota and stratified sampling?

A

quota disregards proportions, stratified sampling takes proportion into consideration

36
Q

what are some types of representative sampling?

A

simple random sampling, stratified random sampling

37
Q

what are some types of non-representative sampling?

A

quota sampling, convenience sampling, voluntary response sampling

38
Q

as sample size BLANK, sampling error BLANK

A

increases, decreases

39
Q

what is sampling distribution?

A

the distribution of the averages of multiple samples of the same population

40
Q

what is the distribution of a sampling distribution?

A

normal

41
Q

how do you find SEM?

A

SD divided by the square root of the sample size

42
Q

what does it mean if most sampling means fall reasonably close to the population mean

A

68% falls within +/- 1 SD of the mean

43
Q

what is margin of error based on for categorical vs. continuous data?

A

categorical - sample size
continuous - sample size and variability

44
Q

how to find confidence level?

A

multiple SEM with a value from the confidence level chart

45
Q

SD will always be BLANK than SEM

A

greater

46
Q

SEM will always be BLANK than 95% confidence interval

A

less

Fall Quarter 22-23 (4 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions