Elementary Statistics

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30 Terms

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Statistics

The study of how to collect, organize, analyze, and interpret data

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Descriptive

To collect and summarize data

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Individual

Person/object you want to know more about

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Population

Collection of individuals all under the study

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Sample

A subset of the population

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Census

Getting everyone in the population that’s existed

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Parameter

A numerical characteristic of a population (unknown)

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Statistics

A number calculated from a sample (known)

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Variable

Characteristic/measurement that can be determined for each individual in the population

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Data

Literal values (a number)

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Qualitive (categorical)

Word/Name that describes the quality of the individual

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Quantitative (numerical)

Actual values, numbers, and counting

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Ordinal

Can be ordered (qualitative)

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Nominal

Cannot be ordered (qualitative)

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Discrete

Counting, only certain values, checkpoints (quantitative)

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Continuous

Measuring, all the values, the journey (quantitative)

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Simple Random Sample (best)

Every member of population has an equal chance of beign chosen

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Systematic

Randomly choose starting point, then survey every nth individuals

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Stratified

Divide population into groups and randomly choose the number of individuals in each group

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Cluster

Divide population into groups and randomly choose number of groups and survey all

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Convenience Sample (worst)

Use results that are easiest to get around you

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Pie chart

Chart representing data as slices of a circle, illustrating proportions

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Bar graph

Chart that uses rectangular bars to represent the frequency or number of different categories

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Stem & Leaf

A method of displaying quantitative data that uses stems to represent the leading digits and leaves for the trailing digits

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Box plots

A graphical representation of the distribution of numerical data through Q1, Q3, the median, upper, and lower limit

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Dot plots

A graphical display of data using dots to represent individual data points

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Histogram

A graphical representation of the distribution of numerical data using bars to show the frequency of data within specified intervals.

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Population mean

(µ) Sum the numbers, count the values, divide the sum by the count

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Sample mean

(xĚ…) Sum the numbers, count the values, divide the sum by the count

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Median

Arrange the numbers (smallest to largest), count until you get to the middle