3. Categorizing Review the notes that you completed during the lesson to define the two basic categories of statistics and provide examples for each category.

The two branches of statistics are inferential and descriptive. A. ... Descriptive statistics summarize and describe data. Inferential statistics use data from a sample to answer questions about a population.

Explanation:

Example : There are four major types of descriptive statistics:

Measures of Frequency: * Count, Percent, Frequency. ...

Measures of Central Tendency. * Mean, Median, and Mode. ...

Measures of Dispersion or Variation. * Range, Variance, Standard Deviation. ...

Measures of Position. * Percentile Ranks, Quartile Ranks.

Example : Inferential statistics

With inferential statistics, you take data from samples and make generalizations about a population. For example, you might stand in a mall and ask a sample of 100 people if they like shopping at Sears. ... This is where you can use sample data to answer research questions.

Difference :

The primary difference between descriptive and inferential statistics is that descriptive statistics measure for definitive measurement while inferential statistics note the margin of error of research performed.

(Put in your own words fam!)

experiments.

surveys.

questionnaires.

interviews.

case studies.

participant and non-participant observation.

observational trials.

studies using the delphi method.

nigger, that word was originated for white folks   to keep black people under

and when black people use it, they know that's just how they greet each other

and when white folks use it, they know there's a double meaning under