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Statistic Terms Ashwin and Ricky - Coggle Diagram
Statistic Terms Ashwin and Ricky
Multivariate data
A type of statistical analysis that involves more than two dependent variables that result in a single outcome.
Bivariate data
Bivariate data is the relationship of the data of two variables and their relationship and association
Eg. the relationship between height of a ball and the time it takes to hit the ground
Discrete variable
A Discrete variable is a variable that has a countable value.
Eg. the numbers on a dice roll
Categorical variables
A catagorical variable has two or more categories, that do not have a specific order
Hair color is a categorical variable has it has a number of categories. A yes or no question would result in a categorical variable as there are two different categorical with no intrinsic, relevant order.
Response variable
The response variable is the same as the dependent variable. The variable that is the outcome of an experiment or test. Or the independent variable.
Eg. when a ball is dropped from different heights and the time taken is measured, the time is the response variable.
Extrapolation
Estimating something based on trends and assuming the trends will continue
Eg. having a linear trend and assuming that for all variables continuing the trend will still be linear
continuous variables
Continuous variables have no range in how large or small the value is, as there is an infinite number of values between the lowest and highest points of measurement.
These includes things that can be measured, light length, speed, the height that you drop a ball at
Causation
The action that causes something and the relationship between the cause and the effect it has
Eg. dropping a ball causes it to fall
Correlation
A statistical measure at which two different variables are related linearly, this means they both change together at a constant rate.
An example of this is the speed at which a ball drops, with the two variables being the height you dropped the ball, and the speed the ball travels
Regression and regression line
A method used to determine the strength of a relationship by looking at one dependent variable and the independent variables.
a regression line is a best fit line, which best fits the data, half of the data values are either above, or below the line. This can showcase whether a trend is certain
Age and height can be described through a regression analysis, as the height increases while the age increases.
A stats method where related known values are used to estimate an unknown value
