Answer:
answer is 19.1
Step-by-step explanation:
answer is 19.1
SOLUTION
Given the question in the image, the following are the solution steps to answer the question.
STEP 1: Define the key terms
![\begin{gathered} f(x)\Rightarrow o\text{utput} \\ \rightarrow\Rightarrow approaches \\ a\Rightarrow a \\ \infty\Rightarrow\text{ infinity} \\ -\infty\Rightarrow\text{negative infinity} \end{gathered}](https://tex.z-dn.net/?f=%5Cbegin%7Bgathered%7D%20f%28x%29%5CRightarrow%20o%5Ctext%7Butput%7D%20%5C%5C%20%5Crightarrow%5CRightarrow%20approaches%20%5C%5C%20a%5CRightarrow%20a%20%5C%5C%20%5Cinfty%5CRightarrow%5Ctext%7B%20infinity%7D%20%5C%5C%20-%5Cinfty%5CRightarrow%5Ctext%7Bnegative%20infinity%7D%20%5Cend%7Bgathered%7D)
STEP 2: Match the symbol to the meaning
Hence, the correct meaning matching will be:
Answer:
3 3/4 cubic inches,
Step-by-step explanation:
Stephanie puts 30 cubes in a box. The cubes are 1/2 inch on each side. The box holds two layers with 15 cubes in each layer. What is the volume of the box awnsers 5cubic inches, 7 1/2 cubic inches,3 3/4 cubic inches, 15 cubic inches.
✓From the question we are informed that Stephanie puts 30 cubes in a box. The cubes dimension are 0.5 inch on each of the sides.
✓ Since the sides is 0.5inch each, the volume is (0.5×0.5×0.5) The volume of one cube = (0.5 inch)³ = 0.125 inch³
✓ we can calculate the Volume of 30 cubes as
[ 30 cubes in a box × 0.125 inch³]
= 3.75 inch³
✓ 3.75 inch³ can be converted into fraction as (3 3/4) inch³ which is the third Option.
Answer: P(x > - 0.23) = 0.41
Step-by-step explanation:
Since we are assuming that the readings at freezing on a batch of thermometers are normally distributed, we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = the readings at freezing on a batch of thermometers.
µ = mean temperature reading
σ = standard deviation
From the information given,
µ = 0°C
σ = 1.00°C
the probability of obtaining a reading less than -0.23°C is expressed as
P(x > - 0.23)
For x = - 0.23
z = (- 0.23 - 0)/1 = - 0.23
Looking at the normal distribution table, the probability corresponding to the z score is 0.41