Exam 1 Flashcards

1
Q

Observational Study

A

observes individuals and measures variables, but doesn’t try to influence the response.

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2
Q

purpose of observational study

A

describe and compare existing groups or situations

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3
Q

experiments

A

actively impose a treatment on the subjects

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4
Q

purpose of experiments

A

study if a treatment causes a change in the response

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5
Q

confounding variables

A

variables thats effects on a response variable can’t be distinguished from each other

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6
Q

sample

A

the part of the population from which the the information is actually collected. samples are used to draw conclusions about the entire population

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7
Q

population

A

the entire group of individuals from which we want the information

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8
Q

sampling design

A

describes how a sample was chosen from the population

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9
Q

probability sampling

A

use chance to select a sample

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10
Q

simple random sample (SRS)

A

basic probability sample- it gives every possible sample of a given size the same chance to be chosen (can be done with software or random digits)

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11
Q

systematic random sampling

A

every __th individual is selected after the starting point

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12
Q

stratified random sampling

A

the population is divided into sub-populations and samples are chosen from each of those

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13
Q

multistage random samples

A

a simple random sample is chosen within a simple random sample (ex: a random classroom within a random school within a random state)

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14
Q

bias

A

systematic errors in the way the sample represents the population/ systematically favors certain outcomes

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15
Q

voluntary response samples

A

individuals can choose to participate. the problem is that mostly people with strong opinions would take the time out to participate

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16
Q

convenience sample

A

the easiest sampling design- the individuals close at hand are selected. the problem is that they cater to specific people (example: all the people are in the same economic class, being an inaccurate representation of the population)

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17
Q

sample surveys

A

observational studies of a random sample drawn from the population

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18
Q

cluster sample

A

populations are divided into groups and entire clusters/ groups are chosen at random to be in the sample

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19
Q

unblinded

A

both the experimenter and the subjects know which treatment is being administered

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20
Q

single blind

A

either the experimenter or the subjects know which treatment is being administered, but not both

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21
Q

double blind

A

neither the experimenter nor the subjects know which treatment is being administered

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22
Q

undercoverage bias

A

when some members of the population are not represented

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23
Q

self selection bias

A

when individuals choose to participate in a survey, leading to a sample with extreme views

24
Q

nonresponse bias

A

when a significant amount of individuals selected for the sample do not respond, resulting in skewed results

25
response bias
when the way a question is asked influences the answer
26
individuals
the objects described by a set of data
27
variable
describes a characteristic of an individual
28
categorical variable
places an individual in a group or category. they are not numerically valued (qualitative variable)
29
quantitative variable
has numerical value that measure a characteristic of an individual
30
exploratory data analysis
uses graphs and numerical summaries to describe the variables in a data set and the relationships between them
31
discrete variable
type of quantitative variable- it takes on a distinct, countable value. possible values are finite
32
continuous variable
type of quantitative variable- it takes on any value within a range. possible values are infinite
33
distribution
shows how data points are spread across a range and how often they occur
34
graphs for categorical variables
pie charts and bar graphs
35
graphs for quantitative variables
histograms and dot plots
36
bar graphs measure...
any sets of data measured in the same units
37
symmetric shape
clear middle, mirrored sides
38
multimodal
multiple peaks
39
bimodal
2 peaks
40
measures of shape
symmetric, multimodal, bimodal
41
measures of center
median, mean
42
measures of spread
range. standard deviation
43
skewed
the tail is on the side that is skewed
44
outliers
observations that lie outside of the overall pattern of the distribution
45
time plot
plots each observation with the time it was measured. (always have time horizontally)
46
trend (time plot)
a long term upward or downward movement over time
47
cycle (time plot)
a pattern or event that repeats at regular intervals
48
variability
a broad term that describes how spread out the data points are in a dataset
49
standard deviation
a specific measure of variability that quantifies the average distance of each data point from the mean
50
with mean, describe spread using...
standard deviation
51
with median, describe spread using...
5 number summary
52
resistant measure
a statistic that is not significantly affected by extreme values or outliers in a dataset
53
resistant measures examples
median, quartiles, and interquartile range
54
four step method
state, plan, solve, conclude
55
variance=...
square root of standard deviation