Week 1 Flashcards

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1
Q

statistics

A

collection of information abt the state

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2
Q

primary data collection

A

quantitative and qualitative methods
- interviews, observation, focus groups, and surveys

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3
Q

Process of Statistics

A
  1. Identify the research objective
  2. Collect the data needed to answer questions
  3. Describe the data
  4. Perform interference
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4
Q

Conducting research

A
  1. Introduction (real estate problem in the US)
  2. Problem statement (ID problem: short sales, foreclosures..)
  3. Methodology (obtaining data: internet surveys)
  4. Results and findings (adjustable interest rates, subprime mortgage, investors)
  5. Conclusions and recommendation
  6. References
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5
Q

applied research

A

done with the intention of applying the results of the findings to solve specific problems being experienced within the organization

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6
Q

population

A

everything one wishes to study; a collection of all possible individuals, objects, or measurements of interest.
- size of population (all members) referred to as N

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7
Q

sample

A

portion/ part of the population of interest
- number of members in a sample: n

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8
Q

why need a sample?

A
  • takes too much time to study the whole population
  • too much $$ to study population
  • not possible to identify every member of the population
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9
Q

sampling error

A

difference in behavior of the entire population vs sample of that population
- size of the sample and amount of variation influences size of sampling error

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10
Q

parameter

A

number that describes a characteristic of the population

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11
Q

biased sample

A

sample that does not represent population

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12
Q

sampling frame

A

list of all members of the population

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13
Q

Sampling methods

A

simple random sampling methods, systematic random, stratified random sampling, cluster sampling, and convenience sampling

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14
Q

primary data

A

data obtained and used by the org or individ that actually collected them

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15
Q

secondary data

A

compiled data taken from several primary sources and synthesized/ summarized in some ways

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16
Q

sources and types of data

A

sources (primary and secondary)
- data types: qualitative and quantitative (discrete and continuous

17
Q

levels of measurement

A

nominal, ordinal, interval, and ratio

18
Q

nominal

A

‘qualitative data’
- describing data
- CA, brown, blue, age

19
Q

ordinal

A

there is an order in data
- 1st place, second place, 3rd place
- pain from 1 - 10 (likert type scales)
- order gives us information

20
Q

interval

A

start value is not zero
- ages of college students (15+)
- temperature
- checkbook (100, 101, 102…)

21
Q

ratio

A

data starts from zero
- prices, ages, salary

22
Q

organizing data

A

use frequency data or frequency distribution

23
Q

frequency

A

number of _ you have in each category

23
Q

relative frequency

A

frequency divided by the total (of all frequency sum)

24
Q

cumulative relative frequenc

A

frequency of current category (and all previous categories) divided by total (of all frequency sum)