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Researching Target Markets: Difference between revisions
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In [[w:statistics|statistics]] and [[w:probability theory|probability theory]], the '''[[w:median|median]]''' is the numerical value separating the higher half of a data [[w:Sample (statistics)|sample]], a [[w:statistical population|population]], or a [[w:probability distribution|probability distribution]], from the lower half. ( Wikipedia ) | In [[w:statistics|statistics]] and [[w:probability theory|probability theory]], the '''[[w:median|median]]''' is the numerical value separating the higher half of a data [[w:Sample (statistics)|sample]], a [[w:statistical population|population]], or a [[w:probability distribution|probability distribution]], from the lower half. ( Wikipedia ) | ||
In [[w:descriptive statistics|descriptive statistics]], the '''[[w:quartile|quartile]]s ''' of a [[w:Levels of measurement#Ordinal scale|ranked]] set of data values are the three points that divide the data set into four equal groups, each group comprising a quarter of the data. ( Wikipedia ) | In [[w:descriptive statistics|descriptive statistics]], the '''[[w:quartile|quartile]]s ''' of a [[w:Levels of measurement#Ordinal scale|ranked]] set of data values are the three points that divide the data set into four equal groups, each group comprising a quarter of the data. A quartile is a type of [[w:quantile|quantile]]( Wikipedia ) | ||
* '''[[w:Quantile]]s''' are points taken at regular intervals from the [[w:cumulative distribution function|cumulative distribution function]] (CDF) of a [[w:random variable|random variable]]. | |||
A '''[[w:percentile|percentile]]''' (or a centile) is a measure used in statistics indicating the value below which a given [[w:percentage|percentage]] of observations in a group of observations fall. ( Wikipedia ) | |||
In [[w:arithmetic|arithmetic]], the '''[[w:Range (statistics)|range]]''' of a set of data is the difference between the largest and smallest values. ( Wikipedia ) | In [[w:arithmetic|arithmetic]], the '''[[w:Range (statistics)|range]]''' of a set of data is the difference between the largest and smallest values. ( Wikipedia ) | ||
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A '''[[w:Likert scale|Likert scale]]''' is a [[w:psychometrics|psychometric]] scale commonly involved in research that employs [[w:questionnaire|questionnaire]]s. It is the most widely used approach to scaling responses in survey research, such that the term is often used interchangeably with ''[[w:rating scale|rating scale]]'', or more accurately the '''Likert-type scale''', even though the two are not synonymous. The scale is named after its inventor, [[w:psychologist|psychologist]] [[w:Rensis Likert|Rensis Likert]]. ( Wikipedia ) | A '''[[w:Likert scale|Likert scale]]''' is a [[w:psychometrics|psychometric]] scale commonly involved in research that employs [[w:questionnaire|questionnaire]]s. It is the most widely used approach to scaling responses in survey research, such that the term is often used interchangeably with ''[[w:rating scale|rating scale]]'', or more accurately the '''Likert-type scale''', even though the two are not synonymous. The scale is named after its inventor, [[w:psychologist|psychologist]] [[w:Rensis Likert|Rensis Likert]]. ( Wikipedia ) | ||
== Later weeks == | == Later weeks == | ||
*In [[w:statistics|statistics]] and [[w:probability theory|probability theory]], the '''[[w:standard deviation|standard deviation]]''' ('''SD''') (represented by the Greek letter sigma, '''[[w:Sigma|σ]]''') shows how much variation or [[w:tatistical dispersion|dispersion]] from the average exists. | *In [[w:statistics|statistics]] and [[w:probability theory|probability theory]], the '''[[w:standard deviation|standard deviation]]''' ('''SD''') (represented by the Greek letter sigma, '''[[w:Sigma|σ]]''') shows how much variation or [[w:tatistical dispersion|dispersion]] from the average exists. | ||
:::A low standard deviation indicates that the data points tend to be very close to the [[w:mean|mean]] (also called expected value); a high standard deviation indicates that the data points are spread out over a large range of values. ( Wikipedia ) | :::A low standard deviation indicates that the data points tend to be very close to the [[w:mean|mean]] (also called expected value); a high standard deviation indicates that the data points are spread out over a large range of values. ( Wikipedia ) | ||