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Concordia University - COMM 215 - Study Guide - Midterm

Description

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Business Analytics

Predictive Analytics Applications

- Anomaly detection
- Association learning : find items that tend to co - occur and find rules
- Classification : assign in categories / classes
- Cluster detection : find natural grouping, without assigning categories
- Prediction :
- Factor detection : large number of correlated variables, find uncorrelated variables

ratio : quantitative relation between 2 amounts →

interral : use when ratio is not meaningful → temperature

ordinal : use when there is meaningful ordering → teaching effectiveness We also discuss several other topics like What does carmagnole (kar-man-yole’) refer to?

nominative : no meaningful of ordering → gender

stratified random : divide population into non overlapping groups (strata), select random sample from strata

multistage cluster : divide population into sub - population (clusters) select clusters to sample

systematic sampling : list population, select random start point, sample each nth element

If you want to learn more check out Define systematics in biology.

Types of survey questions

Types of surveys

dichotomous : yes / no answers

multiple choices :

open - ended questions

Chapter 1

variable : any characteristic of an element

quantitative : numbers that represent quantities

qualitative : falls into categories e.g. eyes color

Cross - sectional data : data collected at the same or approximately the same point in time

Time series data : data collected over different time periods

Types of data sources

Don't forget about the age old question of Define psychological disorder.

data warehousing : process of centralized data management

big data : massive amounts of data

population : all elements from a set of data

sample : subset of population

census : examination of all the population measurements

descriptive statistics : science of describing the important aspects of a set of measurements

statistical inference : science of using a sample of measurements to make generalizations If you want to learn more check out What is the lewis structure for carbon?

statistical model : set of assumptions about how samples are selected

probability sampling : sampling where we know the chance that each element in the population will be included in the sample

convenience sampling : convenient to sample

voluntary response sampling : participants self - select

judgement sampling : person extremely knowledgeable about population selects population that he / she feels are the most representable

target population : entire population of interest

sample frame : list from which we select sample

sampling error : difference between numerical descriptor and corresponding descriptor of sample

undercoverage : when some individuals are excluded when selecting sample

nonresponse : when some individuals were supposed to be included are not included

bias : when opinions of some who did survey vary a lot from these did not participate in survey

errors of observation : when recorder misobserves and marks wrong

recording error : when recorder incorrectly marks an answer

response bias : when respondents do not tell the truth

Class 2

September 18, 2017

Chapter 2 Descriptive Statistics

If you want to learn more check out What are the benefits of globalized markets?

relative frequency → a proportion = frequency / total # of observations

percent frequency → relative frequency ✕ 100 %

We also discuss several other topics like What is the main evidence upon which the modern theory of evolution is based?

bars arranged in decreasing height from left to right