business analytics exam 1 Flashcards

(55 cards)

1
Q

facts and figures which industries use

A

data

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2
Q

any characteristic of an element, also used to describe data

A

variable

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3
Q

way to assign value of a variable of an element

A

measurement

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4
Q

possible measurements fall into several categories

A

qualitative

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5
Q

possible measurements of the values of a variable are numbers that represent quantities

A

quantitative data

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6
Q

weight of packages, size of package, time of order to destination, costs

A

UPS quantitative data

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7
Q

labels, name, anything used to identify an attribute

A

qualitative examples

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8
Q

name , cell phone number, address, email

A

examples of qualitative data

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9
Q

data collected at the same point in time

A

cross sectional data

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10
Q

data already collected by public and private sources

A

existing sources

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11
Q

internet, library, government

A

examples of exisiting sources

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12
Q

data collected for a specific purpose

A

experimental and observational studies

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13
Q

When initiating a study, you must first find a variable if interest called a

A

response variable

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14
Q

variables related to the variables of interest in the second step of initiating a study

A

independent variables

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15
Q

companies hope to use this to indicate past behavior and other information to predict customer response

A

transactional data

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16
Q

process of centralized data management and retrieval

A

data warehousing

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17
Q

the objective is the creation and maintenance of a central repository for an organizations data

A

data warehousing

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18
Q

three types of analytic users

A

business user, business analytics, data scientist

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19
Q

person who manages cleans and aggregates data

A

business analyst

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20
Q

first step of anayltic process

A

business must find a problem and pain point

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21
Q

second step of analytic process

A

collection and management of data

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22
Q

third step of analytics process

A

describe and interpret what has happened with your collected past data

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23
Q

4th step of analytics process

A

predict what will happen in the future

24
Q

5th step of analytics process

A

make a business decision

25
2 subsets of quantitative data
discrete, continous
26
quantitative data that consist of a whole number
discrete
27
quantitative data that has fractions and decimals
continuous
28
2 subsets of qualitative data
ordinal, nominal
29
qualitative data that requires an order
ordinal
30
qualitative data where order doesn't matter
nominal
31
accepts payments from customers and keeps track of sales and inventory through an online store
point of sale system
32
path a user takes through online journey
click stream data (CSD)
33
computer based sharing of ideas, thoughts ,info, online data that the user provides
social media data
34
a device that detects a change in the environment and converts the change into measurable data
sensor data
35
Identity is coded but known by someone in charge
confidential
36
no identity is known by anyone
anonymous
37
entire group of people we want data from
population
38
part of the population we collect to analyze
sample
39
data for ALL of the population
census
40
people or things being sampled
elements
41
every set of individuals has an equal chance to be selected, foundation for all sample methods
simple random sample
42
divides the population into nonoverlapping groups that select a random, sample from each strata
statified random sample
43
list population, select random starting point, sample each nTH element, must have a starting point and random mathematical selection
systematic sampling
44
divides the population into clusters, randomly select clusters , sample all in each cluster
multistage cluster sampling
45
type of sampling requires large sample and geographical area
multistage cluster sampling
46
select sample of people because it is easy to get data
convenient bias
47
self selected sample, those who want to participate because they have a strong feeling
voluntary
48
incomplete sampling where not a sufficient amount was sampled to make an accurate statement
undercoverage bias
49
when sampling does not represent data not represent population due to biased sampling
sampling error
50
doesnt include representation from entire population
coverage bias
51
sampling procedures result in collecting incorrect data
measurement error
52
response bias is a type of
measurement bias
53
using leading questions or poorly worded
response bias
54
bias caused by sampling method or how sample is conducted
coverage bias
55
4 essential parts of consent form
purpose, what will be asked, will data be confidential or anonymous, are there risks