Ap Stats review sheet:
Exploring data: 20-30% chapters 1, 2, 3, and 4. Difficulty easy.
Things you need to know:
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## Chapter 1 key info
## [--Hisogram--]: has even intervals for each bin, the bins are touching, and it's good ## for large sets of data.
## [--Shape--]: Explains in an image imagebin.ca/v/3LncMb2gDhDE
## [--Clusters--]: A group of distinct values. {Ex: imagebin.ca/v/3Lncu0ISYaGv}
## [--Gap--]: {Ex image: imagebin.ca/v/3LndW5ujQkTR}
## [--Cumulative Frequency--]: Sum the values of each bin and show the progression on a
## a graph {Ex image: imagebin.ca/v/3LnfKUcYEsJu}
## [--Relative Cumulative Frequency--]: The same as cumulative frequency but you use
## percentages instead of counts.
## [--Mean--]: The average value also noted as x̅(X-bar). x̅ is the mean of a sample.
## x̅ = sum of all values / number of values.
## [--Median--]: The middle number of the data. To find it list the numbers from least to
## greatest and then find the middle number. If there are two numbers in the middle find
## the average of the two.
## [--Mode--]: The number that shows up the most in the data.
## [--Out lier--]: A number that is different from the rest. Found with Tukey's law
## [--Out liers effect on data--]: <mean: less resistant to outliers>
## <median: more resistant to outliers> {Ex image: imagebin.ca/v/3LnjawRIEklp}
## [--Five number summery--]: (Min, Q1, Median, Q2, and Max)
## [--Q1/Quartile 1--]: Median of the first half of the data.
## [--Q3/Quartile 3--]: Median of the second half of the data.
## [--Boxplot--]: Graph of the five number summery {Ex img:imagebin.ca/v/3LnlBbPnkDF9}
## find the 5 num summery first, label the axis, and mark outliers with an X on graph
## [--Range--]: Max - Min = Range
## [--Interquartile Range--]: Q3 - Q1 = IQR
## [--Tukey's Law--]: A method for calculating outliers.
## How to find outliers: Any number below Q1 - 1.5(IRQ) is an outlier and any number
## above Q3 + 1.5(IQR) is an outlier.
## [--Deviation--]: The amount a value is above or below the mean.
## To find do: Value - x̅ = Deviation for that value. Sum of all deviations add up to 0
## [--Standard deviation--]: Square root of the average squared deviation from the mean.
## formula: imagebin.ca/v/3LnowClaupJS
## [--Variance--]: average of squared deviations.
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## Chapter 2 key info
## [--Z Score--]: Value - Mean / Standard deviation.
## [--Density Curve--]: Overall pattern of the distribution, Total area sums to one.
## [--Sigma--]: σ “sigma” is the standard deviation of the density curve.
## [--Mu--]: μ “mu” is the mean of the density curve.
## [--Normal Distribution--]:
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