Use a x2 test to test the claim that in the given contingency table, the row variable and the column variable are independent. Use the sample data below to test whether car color affects the likelihood of being in an accident. Use a significance level of 0.01.
Red Blue White
Car has been in
accident 28 33 36
Car has not been
in accident 23 22 30
elect the correct conclusion.
eject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that car color and being in an accident are independent.
all to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that car color and being in an accident are independent.

if you explain the the question more correctly i might be able to answer this better

step-by-step explanation:

an

y = 6x -3y -12

y +3y +12 = 6x

=> . x = { 2y / 3 +2 } this is equation of line in terms of x

=> . if line meets the x-axis the co-ordinates of meeting point would be ( x , 0 )

=> . x = 2 ( 0 ) / 3 + 2

=> . x = 2

so, the point is ( 2 , 0 )

answer: on graphs, the open and closed circles, or vertical asymptotes drawn as dashed lines us identify discontinuities.

as before, graphs and tables allow us to estimate at best.

when working with formulas, getting zero in the denominator indicates a point of discontinuity.

when working with piecewise-defined functions, check for discontinuities at the transition points where one piece ends and the next begins.

step-by-step explanation: