Lecture 1 Flashcards

(24 cards)

1
Q

sample

A

subcollection of members drawn from studies

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2
Q

sample

A

subcollection of members drawn from studies

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3
Q

the goal of statistics is to ___ a sample?

a. populate
b. randomize
c. prepare

A

randomize

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4
Q

3 steps involved in conducting a statistical study

A

prepare
analyze
conclude

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5
Q

true/ false: every analysis should begin with a appropriate graphs

A

true

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6
Q

achieved in a study when we get a result that is very unlikely to occur by chance

A

statistical significance

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7
Q

common sense which might suggest practical implications of the results

A

practical significance

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8
Q

true/false correlation does not imply causality.

A

TRUE!!! big stats point…hear it over and over again

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9
Q

`numerical measurement describing some characteristic of a population

A

sample

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10
Q

numerical measurement describing some characteristic of a population

A

sample

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11
Q

consists of names or labels (representing categories)

A

categorical data

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12
Q

two types of ways QUANTITATIVE data can be distinguished

A

discrete and continuous

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13
Q

four categories of measurements

A

1 nominal

  1. ordinal
  2. interval
  3. ratio
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14
Q

categories only

A

nominal

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15
Q

collect data using some combination of the basic sampling methods

A

multistage sampling

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16
Q

data are observed, measured, and collected at one point in time

A

cross sectional study

17
Q

data are collected from the past by going back in time

A

retrospective

18
Q

data are collected in the future from groups sharing common factors

A

prospective (called cohorts)

19
Q

repetition of an experiment on more than one subject

20
Q

technique in which the subject doesn’t know whether he or she is receiving treatment or a placebo

21
Q

occurs in an experiment when the experimenter is not able to distinguish between the effects of different factors

22
Q

assign subjects to different treatment groups through a process of ____ ____ (2 words)

A

random selection

23
Q

carefully assign subjects to different tx groups so that those given each tx are similar in way that are important to the experiment

A

rigorously controlled design

24
Q

compare exactly two tx groups using subjects matched in pairs that are somehow related or have similar characterized

A

matched pairs design