Section 10.2
In section 2.4 we created scatterplots and talked a little about linear relationships between variables. We
now build on that, venturing into correlation and regression.
As we examine scatterplots, we look to see if a line could fit the data.
Section 9.1
In chapter 8 we worked with hypothesis testing between a parameter and a specific value. Now we will
test the difference between two parameters in chapter 9.
The null hypothesis H0 states there is no difference between two parameters.
The alte
Section 11.2
The chi-square goodness-of-fit test can also be used to test for independence and homogeneity.
The hypotheses are more verbiage than usual. The null hypothesis should be a statement indicating that
there is no difference or no change. Here is
Section 11.1
When you are testing to see whether a frequency distribution fits a specific pattern, you can use the chisquare goodness-of-fit test.
The hypotheses are more verbiage than usual. The null hypothesis should be a statement indicating that
there
MATH
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