IB DP Maths: AI HL复习笔记4.3.2 Logarthmic Scales
Logarithmic Scales What are logarithmic scales? Logarithmic scales are scales where intervals increase exponentially A normal scale might go 1, 2, 3, 4, ... A logarithmic scale might go 1, 10, 100,...
Logarithmic Scales What are logarithmic scales? Logarithmic scales are scales where intervals increase exponentially A normal scale might go 1, 2, 3, 4, ... A logarithmic scale might go 1, 10, 100,...
Non-linear Regression What is non-linear regression? You have already seen that linear regression is when you can use a straight line to fit bivariate data Non-linear regression is when you can use...
Linear Regression Exam Tip Once you calculate the values of a and b store then in your GDC This means you can use the full display values rather than the rounded values when using the linear regres...
PMCC What is Pearson’s product-moment correlation coefficient? Pearson’s product-moment correlation coefficient (PMCC) is a way of giving a numerical value to a linear relationship of bivariate dat...
Scatter Diagrams What does bivariate data mean? Bivariate data is data which is collected on two variables and looks at how one of the factors affects the other Each data value from one variable wi...
Interpreting Data How do I interpret statistical measures? The mode is useful for qualitative data It is not as useful for quantitative data as there is not always a unique mode The mean includes a...
Univariate data is data that is in one variable. Box Plots What is a box plot (box and whisker diagram)? A box plot is a graph that clearly shows key statistics from a data set It shows the median,...
Outliers What are outliers? Outliers are extreme data values that do not fit with the rest of the data They are either a lot bigger or a lot smaller than the rest of the data Outliers are defined a...
Linear Transformations of Data Why are linear transformations of data used? Sometimes data might be very large or very small You can apply a linear transformation to the data to make the values mor...
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