Representing and Describing Data Flashcards

1
Q

univariate data

A

data with only 1 variable

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

qualitative data

categorical data

A

non-numerical data

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

quantitative data

A

numerical data

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

classifications of quantitative data

A

discrete data

continuous data

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

discrete data

A

data that can be counted

able to take only specific values

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

continuous data

A

data that can be measured

able to take any values within range

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

mode

A

value that occurs most frequently in set of data

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

median

A

value that lies in middle when set of data is arranged by size

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

mean

A

average

sum of all values divided by number of values in set

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

outlier

A

extreme value in set of data that can distort results of statistical processes

able to drastically increase or decrease mean

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

range

A

simplest measurement of dispersion of set of data

found by subtracting smallest value from largest value

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

standard deviation (σx)

A

measure of amount of variation or dispersion of set of values

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

variance (σx2)

A

measure of how far set of values is spread from mean

equivalent to square of standard deviation

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

interquartile range (IQR)

A

difference between upper quartile and lower quartile

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

upper quartile (Q3)

A

data point at 75th percentile

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

lower quartile (Q1)

A

data point at 25th percentile

17
Q

population

A

entire group from which one may collect data

18
Q

sample

A

small group chosen from population

19
Q

simple random sampling (SRS)

A

selection of sample completely at random

20
Q

systematic sampling

A

selection of sample from ordered sampling frame

21
Q

convenience sampling

A

selection of sample by selecting those who are easy to reach

22
Q

limitations of convenience sampling

A

does not include random sample of participants (may lead to biased results)

23
Q

biased sampling

A

selection of sample that is not random

24
Q

quota sampling

A

selection of sample by setting certain quotas for participants

25
Q

stratified sampling

A

selection of sample wherein numbers of certain categories are proportional to their number in population

26
Q

histogram

A

approximate representation of distribution of numerical data

27
Q

box-and-whisker plot

box plot

A

graphical depiction of groups of numerical data through their quartiles

28
Q

five-number summary needed to draw a box-and-whisker plot

A

minimum

lower quartile

median

upper quartile

maximum

29
Q

outlier in relation to lower quartile

A

less than Q1 - 1.5 * IQR

30
Q

outlier in relation to upper quartile

A

greater than Q3 + 1.5 * IQR

31
Q

dispersion of values in box-and-whisker plot

A

25% of values are between minimum and lower quartile

25% of values are between lower quartile and median

25% of values are between median and upper quartile

25% of values are betweet upper quartile and maximum

32
Q

cumulative frequency

A

sum of all frequencies up to particular value

33
Q

requirements for drawing cumulative frequency curve

A

creation of cumulative frequency table with upper boundary of each class interval in one column and corresponding cumulative frequency in another

34
Q

requirements for finding percentile

A

reading value on cumulative frequency curve corresponding to percentile of total frequency

35
Q

bivariate data

A

data with 2 variables

36
Q

purpose of bivariate data

A

comparison of paired data on 2 variables to determine if there is any correlation between them

37
Q

positive correlation

A

correlation between variables wherein independent variable increases alongside dependent variable

38
Q

negative correlation

A

correlation between variables wherein independent variable increases while dependent variable decreases

39
Q

descriptions for strength of correlations

A

strong

moderate

weak