Open main menu
Home
Random
Recent changes
Special pages
Community portal
Settings
About Consumerium development wiki
Disclaimers
Consumerium development wiki
Search
User menu
Talk
Contributions
Log in
Editing
User:Jukeboksi/BBA studies/Researching Target Markets
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Week 11 == * '''[[w:Correlation and dependence|Correlation and dependence]]''' - In [[w:statistics|statistics]], '''dependence''' is any statistical relationship between two [[w:random variable|random variable]]s or two sets of [[w:data|data]]. '''Correlation''' refers to any of a broad class of statistical relationships involving dependence. ( Wikipedia ) * '''[[w:bivariate data|Bivariate data]]''' is data that has two [[w:Variable (mathematics)|variables]]. The quantities from these two variables are often represented using a [[w:scatter plot|scatter plot]]. ( Wikipedia ) * A '''[[w:scatter plot|Scatter plot]]''', '''scatterplot''', '''scatter diagram''' or '''scattergraph''' is a type of [[w:mathematical diagram|mathematical diagram]] using [[w:Cartesian coordinate system|Cartesian coordinates]] to display values for two [[w:Variable (mathematics)|variable]]s for a set of data. ( Wikipedia ) * '''[[w:statistical inference|Statistical inference]]''' is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. ( Wikipedia ) * '''[[w:Independent_variable#Independent_variable|Independent variables]]''' vs. '''[[w:Dependent_variable#Dependent_variable|Dependent variables]]''' ::* Independent variable on [[w:column|column]]s ::* Dependant variable on [[w:row|row]]s ( Teacher ) * '''[[w:Cross tabulation|Cross tabulation]]''' (or '''crosstabs''' for short) is a [[w:statistics|statistical]] process that summarizes [[w:categorical data|categorical data]] to create a [[w:contingency table|contingency table]]. They are heavily used in survey research, business intelligence, engineering and scientific research. They provide a basic picture of the interrelation between two variables and can help find interactions between them. ( Wikipedia ) * A '''[[w:contingency table|contingency table]]''' (also referred to as '''[[w:cross tabulation|cross tabulation]]''' or '''cross tab''') is a type of [[w:table|table]] in a [[w:matrix (mathematics)|matrix]] format that displays the (multivariate) [[w:frequency distribution|frequency distribution]] of the variables. ( Wikipedia ) :::'''[[w:Contingency coefficient|Contingency coefficient]]''': :::::if 0 < C < 0,3 => no correlation :::::if 0,3 > C => is correlation * '''[[w:Spearman's rank correlation coefficient|Spearman's rank correlation coefficient]]''' is a [[w:non-parametric statistics|nonparametric]] measure of [[w:correlation and dependence|statistical dependence]] between two [[w:Variable (mathematics)#Applied statistics|variables]]. ( Wikipedia ) * '''[[w:Pearson product-moment correlation coefficient|Pearson product-moment correlation coefficient]]''' (sometimes referred to as the '''PPMCC''' or '''PCC''' or '''Pearson's ''r''''') is a measure of the linear [[w:correlation|correlation]] (dependence) between two variables ''X'' and ''Y'', giving a value between +1 and β1 inclusive, where 1 is total positive correlation, 0 is no correlation, and β1 is total negative correlation. It is widely used in the sciences as a measure of the degree of linear dependence between two variables. ( Wikipedia ) ::: =correl(array 1;array 2) in Excel ( Teacher ) * '''[[w:Regression analysis|Regression analysis]]''' is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a [[w:dependent variable|dependent variable]] and one or more [[w:independent variable|independent variable]]s. ( Wikipedia ) * '''[[w:Coefficient of determination|Coefficient of determination]]''', denoted '''''R''<sup>2</sup>''' and pronounced '''R squared''', indicates how well data points fit a statistical model β sometimes simply a line or curve. ( Wikipedia ) :::It is a [[w:statistic|statistic]] used in the context of [[w:statistical model|statistical model]]s whose main purpose is either the [[w:Prediction#Statistics|prediction]] of future outcomes or the testing of [[w:hypotheses|hypotheses]], on the basis of other related information. It provides a measure of how well observed outcomes are replicated by the model, as the proportion of total variation of outcomes explained by the model. ( Wikipedia ) ---- Further studies in statistics - [[User:Jukeboksi/BBA_studies/Toolkit for Quantitative Surveys]] (MET8LF001-11) Mon-Fri - The concept of [[w:statistical inference]] is covered. Download SPSS from MyNet. ---- <center>This article '''used to be''' at the address '''<nowiki>https://GloBBA12.si/wiki/Researching_Target_Markets</nowiki>''' from 2012 to 2016 and '''<nowiki>https://wiki.study/regarding/Researching_Target_Markets</nowiki>''' from 2016 to 2020</center> [[Category:realcontent]]
Summary:
Please note that all contributions to Consumerium development wiki are considered to be released under the GNU Free Documentation License 1.3 or later (see
Consumerium:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:
Cancel
Editing help
(opens in new window)