Answer:
Step-by-step explanation:
the range is written as (min y value, max y value)
the domain is written as (min x value, max x value)
question 6
the min y value on the picture is -3, while the arrows point upward, so the max is infinity, so the domain is [-3,∞), with a bracket on -3 because -3 is included
[-3,∞)
question 7
the min x value is the leftmost point, which is at x = -3, while the max is the rightmost point at x = 3, and both are included in the domain so there should be brackets on both
[-3,3]
question 8
the arrow on the left points to the left and up infinitely, so the min is -∞, the arrow on the right points to the right and up infinitely, so the max x value is ∞
(-∞,∞)
question 9
the min value is the bottommost point at y = -2, and the arrow points upward infinitely so the max y value is ∞
[-2,∞)
question 10
the arrow on the left points to the left infinitely so the min x value is -∞, the arrow on the right points to the right infinitely so the max x value is ∞
(-∞,∞)
Answer:
Please Attach The Pic so someone can answer.....
Step-by-step explanation:
Answer:
Division Expression - 7 ÷ 3
Unit Form - 21 thirds ÷ 3 = 7
Improper Fraction 7/3
Step-by-step explanation:
Hope this helps!! <3
Since the sample standard deviation is now known, we use
the z-score test. The formula is given as:
z= (X – μ) / (s / sqrt(n))
Where,
X = sample mean = 8.6 lb to 14.6 lb
μ = population mean = 11 lb
s = population standard deviation = 6
n = sample size = 4
1st: Calculating for z when x = 8.6 lb
z = (8.6 – 11) / (6 / sqrt4)
z = - 0.8
Using the standard distribution table for z:
Probability (x = 8.6
lb) = 0.2119
2nd: Calculating for z when x = 14.6 lb
z = (14.6 – 11) / (6 / sqrt4)
z = 1.2
Using the standard distribution table for z:
Probability (x = 14.6
lb) = 0.8849
Therefore
the probability that the mean weight will be between 8.6 and 14.6 lb:
Probability (8.6 ≤ x ≤ 14.6 ) = 0.8849 - 0.2119
Probability (8.6 ≤ x <span>≤ 14.6 ) = 0.673 (ANSWER)</span>
