Chapter 1 Data collection Flashcards

(37 cards)

0
Q

What is the process of Statistics

A
  1. Identify the research object- Detailed questions that identifies population
  2. Collect data
  3. Describe the data
  4. Perform Inference
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1
Q

Variables

A

Is the characteristics of individual within a population

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2
Q

What is the margin of error?

A

an amount that is alloed for in case of miscalculation or change of circumastance

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3
Q

Qualitative variables

A

classification of individuals based on some attribute on characteristics

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4
Q

Quantitive variables

A

Numerical measures of individuals can be added or subtracted

Example: Temperature, Number of days during the past week that someone studied

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5
Q

Discrete Variables

A

Quanatative varable that have finite of possible values or countable numbers

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6
Q

Continuous Variable

A

Quantative variable that has infinite number of possible values

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7
Q

nominal

A

catagories of naming or lables.

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8
Q

Ordinal

A

valued at nominal but has ranked order

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9
Q

Interval

A

is valued at nominal and ordinal, named and ranked bu can be added or subtracted

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10
Q

Ratio

A

properties of interval but can be multiplied or divided

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11
Q

What is statistics?

A

Statistics is a process of collecting, Anaylising and summarizing data in order to draw conclusions

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12
Q

Population

A

Entire group being studied

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13
Q

Individual

A

A member of the population

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14
Q

Sample

A

A subset of the population

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15
Q

Descriptive statistics

A

Describes results without making general conclusions

16
Q

Statistics

A

numerical result of a sample

17
Q

Inferential Statistics

A

uses methods that take a result from a sample and extends it to populations, measures realilibity

18
Q

Parameter

A

is a numerical summary of a population

19
Q

response variable

A

result of experiment

20
Q

Explanatory variable

A

Variance (Statistics a quantity equal to the square of the standard deviation) of experiment

21
Q

Observational study

A

measure the value of the response without influncsing response or explantory variable

22
Q

Designed experienment

A

assignment of groups intintionally changing value, records value

*allows researches to look at cause and effect and control them

23
Q

Confounding

A

in a study occurs when the effects of two or more explantory variables are not seperated

24
lurking variable
is an explantory variable that as not considered in a study
25
Cross-Sectional Studies
collects information over a short amount of time
26
case-control
Are retrospective which hen individuals look back at time or researches look at exisiting records
27
Cohort studies
Idenitifies a group then the group is studied over a long period of time
28
Census
a list of all individuals in a population along with certian characteristics of a each indiviudal
29
Sampling Bias
A sampling method is biased if each element doesnot have an equal chance of being selected
30
Simple random sampling
is the process of selecting a subset of a population for the purpose of statistical ingerence, and every member of the population is equally likelt to be chosen
31
Complex Sampling
is used for experiements with more complicated problems
32
Random assignment
Occurs hen the subjects in an experiment are randoml assigned to conditions, it prevents systematic confoundings of treatment effects ith other variables
33
Stratified Sampling
a method used if the population has a number of distinct "strata" or groups. 1. identify sub group 2. take samples proprotional to the population
34
Systematic Sampling
obtained by selecting every Kth individual from population
35
Cluster Sampling
Obtained by selecting all individuals within a randomly selected collections or groups of individuals
36
Covience Sampling
is a sample which the individuals are easily obtained and not based on randomness, - usually self selected or voluntary response