The strength of a certain type of rubber is tested by subjecting pieces of the rubber to an abrasion test. for the rubber to be acceptable, the mean weight loss μ must be less than 3.5 mg. a large number of pieces of rubber that were cured in a certain way were subject to the abrasion test. a 95% upper confidence bound for the mean weight loss was computed from these data to be 3.45 mg. someone suggests using these data to test h0 : μ ≥ 3.5 versus h1 : μ < 3.5. is it possible to determine whether p < 0.01? explain. round the test statistic to two decimal places and the answer to four decimal places.

b

step-by-step explanation:

b

so firstly, we need to isolate the y variables to be able to solve these inequalities. firstly, add 0.5x on both sides of the first inequality and subtract 1.5x on both sides of the second inequality:

now since the slope is positive for the first inequality, this means that the line going upwards belongs to the first inequality, and the line going downwards belongs to the second inequality.

next, since y ≥ in the first inequality, this means that the shaded region will be above the first inequality's line, thus shading regions a and b.

next, since y ≤ in the second inequality, this means that the shaded region is going to be below this line, thus shading regions a and c.

since both lines shade region a, this means that region a is the solution.

step-by-step explanation:

mark brainliest!

the answer is b.

step-by-step explanation:

a, b, c, d are correct.

step-by-step explanation:

we have g(x) = 3 and are required to find which option is a translation of g(x).

now, 'translation' is a transformation which means to shift the function in any direction and the general form of translation is g(x) + k, where k is any real number.

so, according to the options we see that all are correct as they satisfy the general form of translation.

also, it can be seen from the graph below that the function g(x) = 3 is shifted from its position in all the four options.