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Statistics Vocab
Term | Definition |
---|---|
Statistics | the sciences of collecting, analyzing, drawing conclusions from data |
Descriptive statistics | the methods of organizing and summarizing data |
inferential statistics | involves making generalizations from a sample to a population (hypothesis) |
Population | the entire collection of individual objects about which info is desired |
Sample | subset of the population selected for study in some prescribed manner |
Variable | any characteristic who's value may change from one individual to another |
Data | observations on single variable or simultaneously on 2 or more variables |
Percentile | |
Quartile | |
Types of Variables | |
Categorical/Qualitative | identifies basics differentiating characteristics of the population |
Numerical/Quantitative | observations or measurements taken on numerical values |
Discrete | listable set of values. Ex. Usually counts of items |
Continuous | data can take on any values in the domain of the variable, usually measurements |
Univariate | data that describes a single (un)characteristic of the population |
Bivariate | data the describes 2(bi)characteristics of the population |
Multivariate | data that describes more than 2 characteristics of the pop. |
Graphs for categorical data: | |
Bar | Used for categorical data. - Not touch - horizontal axis - comment on which occurred the most/least often - bivariate data sets can have double/segmented bar graph |
Pie graph | categorical data - to make one proportion x 360 deg. - using protractor, mark off ea part - desribe, comment on which occurred the most/least often |
Graphs for numerical data: | |
Dotplot | - used w/ numerical data (discrete/continuous) - put dots (or A's) on number line - can make comparitive dotplots by using the same axis for mult. groups |
Shapes: | |
Symmetrical | vertically cut in middle, bell shaped curve |
Uniform | every class has equal frequency |
Skewed | one side is longer than the other. Longer tail left or right) |
Bimodal | 2 classes have same freq & separate to others |
How to describe a numerical graph: | |
Center | where middle of data is. 3 types: mean, medican, mode |
Spread | how spread out data is. 3 types: range, standard deviation, IQR |
Shape | overall shape of distribution symmetrical, uniform, skewed, bimodal |
Unusual occurances | outliers: value that lies away from rest of data (gaps, clusters) |
In context | all answers written in correct form. Full sentences & correct vocab |