The nicotine content in cigarettes of a certain brand is normally distributed with mean (in milligrams) m and standard deviation s = 0.1. the brand advertises that the mean nicotine content of their cigarettes is 1.5, but measurements on a random sample of 400 cigarettes of this brand gave a mean of x = 1.52. is this evidence that the mean nicotine content is actually higher than advertised? to answer this, test the hypotheses h0: m = 1.5, ha: m > 1.5 at significance level a = 0.01. you conclude a) that h0 should be rejected. b) that h0 should not be rejected. c) that ha should be rejected. d) that there is a 5% chance that the null hypothesis is true.

the answer to your question a or b but i am pretty sure it is b. i hope this : )

step-by-step explanation:

(x3 + 6x2 + 2x - 6) • (x - 1)

step-by-step explanation:

polynomial long division :

3.2     polynomial long division

dividing :   x4+5x3-4x2-8x+6

                              ("dividend")

by         :     x-1     ("divisor")

dividend     x4   +   5x3   -   4x2   -   8x   +   6

- divisor   * x3     x4   -   x3            

remainder         6x3   -   4x2   -   8x   +   6

- divisor   * 6x2         6x3   -   6x2        

remainder             2x2   -   8x   +   6

- divisor   * 2x1             2x2   -   2x    

remainder               -   6x   +   6

- divisor   * -6x0               -   6x   +   6

remainder                     0

quotient :   x3+6x2+2x-6   remainder:   0