data management ch 1 Flashcards

1
Q

population

A

the entire group of the study

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2
Q

sample

A

a selection of some individuals from the population

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3
Q

cross-sectional data

A

observational study made a specific point in time

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4
Q

longitude

A

measured the variables over a long period of time

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5
Q

raw-data

A

unprocessed information collected for a study

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6
Q

qualitative variable

A

cannot be measured numerically

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7
Q

quantitative variable

A

can be measured nymerically

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8
Q

discrete data

only quantitive

A

measured with whole numbers

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9
Q

continuous data

only quantitive

A

measured with a given range

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10
Q

ordinal variable

A

can be put into relative order

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11
Q

nominal variable

A

categories that cannot be ordered

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12
Q

what are the titles for the circle graph chart

the chart for the information for the graph

A
  1. title
  2. percent of what people like
  3. angle
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13
Q

how to find the angle for a circle graph

A

the percent people like * 360

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14
Q

how does a stem and leaf plot key work

give an example

A

you can use any random number and show how it would look in the stem and leaf plot

1|3 means 13

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15
Q

how does a pictograph key work

A

each (picture) represents % of (title)

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16
Q

what is a frequency table

A

how many things there are

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17
Q

what are the titles for the frequency table chart

A
  1. # of __ / interval
  2. tally
  3. frequency
  4. midpoint (if you’re using intervals)
  5. cumulative frequency (if question asks)
  6. relative frequency (if question asks)
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18
Q

how to calculate cumulative frequency

A

adding up the frequency one row at a time

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19
Q

how to calculate relative frequency

A

frequency / total freq

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20
Q

what is the point of a bargraph and what is it used for

A

for categorial or discrete
no touching indicates separation between groups

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21
Q

what is a frequency polygon

A

same information as a bar graph but simpler to look at

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22
Q

what is a cumulative frequency graph (ogive)

A

the running total from lowest to highest

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23
Q

what is a histogram

A

a bar graph but the bars are touching
!! the x values are not intervals, the bars are in between the values!!

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24
Q

how to use the brackets for intervals

A

”[” means exact ≤
“(“ means anything but <

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25
Q

relative frequency polygons y values

A

go up from (0-1)

0.1, 0.2, 0.3

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26
Q

median

A

middle value

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27
Q

mean

A

added total frequency / numbers of frequency

28
Q

mode

A

the most occuring number

29
Q

simple mean equation

with sigma

A

x̄ = Σx / n

x̄ = sample mean
n = total # value in sample
Σ = “the sum of”

30
Q

weighted mean sample equation

A

X̄w = Σxw / Σx

the denomenator will always equal 100%

31
Q

what is the interquartile range (IQR)

A

range of the middle half data

32
Q

how to find the IQR

A

Q3 - Q1 = IQR

33
Q

how to find the upper threshold

for modified box and whisker plot

A
  1. IQR * 1.5
  2. Q3 + IQR
34
Q

how to find the lowerthreshold

for modified box and whisker plot

A
  1. IQR * 1.5
  2. Q1 - IQR
35
Q

how to find the semi-interquartile range (SIQR)

A

IQR + (IQR/2)

36
Q

population deviation formula

A

x - μ

μ = population
x = point of data

37
Q

sample deviation formula

A

x - x̄

x = point of data
x̄ = sample

38
Q

population variance formula

A

σ^2 = Σ(x-μ)^2 / N

σ = population
Σ = “the sum of”
μ = population mean
N = # of elements in population

39
Q

population standard deviation formula

A

σ = √[Σ(x-μ)^2 / N]

σ = population
Σ = “the sum of”
μ = population mean
N = # of elements in population

40
Q

sample variance formula

A

S^2 = Σ(x-x̄)^2 / n - 1

S = sample
Σ = “the sum of”
x̄ = sample mean
n = # of elements in population

41
Q

sample standard deviation formula

A

S^2 = √[Σ(x-x̄)^2 / n - 1]

S = sample
Σ = “the sum of”
x̄ = sample mean
n = # of elements in population

42
Q

popular standard deviation for grouped data formula

A

σ = √[Σf * (x-x̄)^2 / N]

43
Q

when finding the standard deviation we use a table to stay organized. what are the titles for the table

A
  1. x
  2. x - x̄
  3. (x - x̄) ^2

change x̄ to μ for population insted of sample if appicable

44
Q

when finding the weighted standard deviation we use a table to stay organized. what are the titles for the table

there are 6 titles

A
  1. x
  2. frequency (f)
  3. culminating frequency
  4. x - x̄
  5. (x - x̄)^2
  6. f * (x - x̄)^2

change x̄ to μ for population insted of sample if appicable

45
Q

how to get the deviation graph threshold

A

(mean ± standard deviation)

μ - σ = threshold -1
μ = threshold 0
μ + σ = threshold 1
μ + σ = threshold 2

46
Q

sample z-score formula

A

x-x̄ / s
deviation / standard deviation)

47
Q

population z-score formula

A

x-μ / σ
(deviation / standard deviation)

48
Q

what is an index

A

the value of a variable (or group of variables) to a value of a particular date

49
Q

how to find the slope

A

m = y2-y1 / x2-x1

50
Q

factor grow/ fall formula

in a stock graph for example

A

(new number / old number) * 100 = percent grown/ fall

51
Q

percent change formula

A
  1. find the percent change
  2. subtract 100 from the answer in 1
52
Q

how to find how much money your stock will go up depending how much you put

formula

A

multiply it with the rate of change
(money invested) * y2-y1/x2-x1 = $$

53
Q

random sampling

A

literally anything that is 100% random
* random number generator
* pick out of a hat

54
Q

systematic random sampling

what is it, what formula do you have to use and why

A
  • every nth person
  • have to pick a random starting point
    n = (population size) / (sampeling size)
  • n is the number of people you jump
55
Q

stratified random sampling

A
  • population is divided into subgroups based on qualities
    1. ‘relative frequency’ is ->
    # of students / total # of students
    2. ‘# of surveyed in sample’ is
    RF * (survey size %)
    survey size % = % of total amount of students
56
Q

cluster random sampling

A
  • divide population into groups
  • randomly select a few of the many groups
  • survey everyone in the group

unreliable if clusters are not representing the whole population

57
Q

multistage random sampling

A
  • multiple levels of random sampling
    bias from some areas around the world are not diverse
    1. randomly choose city
    2. randomly choose block
    3. randomly choose houses within the block
58
Q

convenience sampling - non random

A
  • asking people something
  • bias from unrepresented data -> only ask friends
59
Q

voluntary sampling - non random

A
  • people who willingly take the survey
  • bias from super strong opinions of hate/ love
  • people who dont care dont care
60
Q

what is a bias

A

occurs when a sample is not representative of the population

61
Q

sampling bias

A

dose not accurately represent the population
* football game, asked for football or band equipment

62
Q

household bias

A

different groups are not polled proportionally to their size
* 10 students sampled from each grade but there are more gr 9 students

63
Q

measurement bias

A

the way data was collected influences the results
also happens when something is unnatural or unclear
* sign says slow down but you’re trying to find how many people speed

64
Q

leading question bias

A

pushes people to answer in a certain way
* what are your fav songs, give 3 options

65
Q

loaded question bias

A

certain words that imply a certain response
* do you really intend…

66
Q

non-response bias

A

people choose not to participate
also non participation of certain groups
* group of students respond to a survey about school activities

67
Q

response bias

A

feel embarrassed to give honest answers
also poorly written questions
*do you do illegal things (not anonymous)