When a researcher needs to compare means for a variable grouped into two categories based on some less-than interval variable, an _ in appropriate?

When a researcher needs to compare means for a variable grouped into two categories based on some less-than interval variable, a t-test is appropriate.

To add, The analysis of two populations means through the use of statistical examination is called a t-test. Small sample sizes commonly use a t-test with two samples.  What statisticians call as test statistics are identified as t-values. A systematized value that is calculated from sample data during a hypothesis test is called a test statistic. The procedure that calculates the test statistic compares your data to what is expected under the null hypothesis.

You already have an experience with the basic principles behind a t-test if you’ve tried to communicated with a distracted teenager.

guess at question:

a vertical line intersects the graph of g(x,y) = 0 at two points. what conclusion follows about the function f(x) implicitly defined by g(x,f(x)) = 0?

the domain of f(x) cannot include the x coordinate of any such vertical line.

informally, f(x) is not a function, and

g(x,y)=0 cannot be solved for y uniquely.

the relation r = {(x,y) such that g(x,y) = 0} is a function if

for all (a,b) ∊ r and (c,d) ∊ r, a=c implies b=d.

step-by-step explanation: