A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The hypotheses are: H0: μ ≥ 16.1 ounces Ha: μ < 16.1 ounces where μ is the mean amount of juice in the manufacturer's 16 ounce bottles. Explain the meaning of a Type I error. A Type I error would occur if, in fact, μ < 16.1 ounces, but the results of the sampling lead to the conclusion that μ > 16.1 ounces. A Type I error would occur if, in fact, μ ≥ 16.1 ounces, but the results of the sampling do not lead to rejection of that fact. A Type I error would occur if, in fact, μ ≥ 16.1 ounces, but the results of the sampling lead to the conclusion that μ < 16.1 ounces. A Type I error would occur if, in fact, μ < 16.1 ounces, but the results of the sampling fail to lead to that conclusion.

option C (A Type I error would occur if, in fact, μ ≥ 16.1 ounces, but the results of the sampling lead to the conclusion that μ < 16.1 ounces)

Step-by-step explanation:

A type 1 error is committed when we reject the bill hypothesis when we are suppose to accept it.

According to the question, the null hypothesis is given as

H0: μ ≥ 16.1

If we assume the null hypothesis above to be right and we go against it ( μ < 16.1) then we have committed a type 1 error.

maximum area = xy = (16)(32) = 512 ft2

to maximize the area of the garden, the side of the fence parallel to the side of the house should be 32 ft long, and the other two sides should both have length 16 ft.'

source

22, 28, 34, 40, 46

b)   f(n) = 6n + 16

n = what is the number of the row ( 22 would be row 1) so if we replaced n with 1, we would get 22

c)   the 14th row will have 100 seats

(1)   (2)   (3)   (4)   (5)   (6)   (7)   (8)   (9)   (10) (11) (12) (13) (14)

22 | 28 | 34 | 40 | 46 | 52 | 58 | 64 | 70 | 76 | 82 | 88 | 94 | 100