1) The sculptor created a marble basin with an approximate volume of 94,509.6 cubic centimeters - Option D, 2) The approximate area of the heart-shaped cake is 283 square inches - Option B, 3) The length of the wooden frame around the window is 94.3 inches - Option B.
In this question we should make use of geometric formulas for volumes and areas and key information from statement in order to find the right choices.
1) In this case, the volume occupied by the marble water basin (
), in cubic centimeters, by subtracting the volume of the hemisphere from the volume of the cylinder:
(1)
Where:
- Radius of the cylinder, in centimeters.
- Height of the cylinder, in centimeters.
- Radius of the cylinder, in centimeters.
If we know that 
, 
and 
, then the volume of the marble is:
The right choice is D.
2) To determine the approximate surface area of the cake covered in red frosting (
), in square inches, we need to find the sum of the surface area of the entire circle and the surface area of the square:
(2)
Where:
- Side length of the square, in inches.- - Height of the cakes, in inches.
- Diameter of the cakes, in inches.
If we know that 
, 
and 
, then the <em>approximate</em> area covered in red frosting:
The right choice is B.
3) The frame around the window is found by means of the following perimeter formula (
), in inches:
(3)
Where:
- - Radius, in inches.
- - Height of the rectangle, in inches.
If we know that 
and 
, then the length of the frame around the window is:
The right choice is B.
We kindly invite to see question on volumes: brainly.com/question/1578538
1 inch = 2.54 cm
27 feet 10 inches = 27 * 12 + 10 = 334 inches.
334 inches = 334 inches * 2.54 cm / inch = 848.36 cm
1 meter = 100 cm
x = 848.36 cm
Cross multiply
848.36 cm * 1 meter = 100 cm * x Divide both sides by 100
848.36 cm* meter/ 100 cm = x
8.48 meter = x
Answer 8.48 meters.
Answer:
6 times
Step-by-step explanation:
There are two events here:
1. Probability to hit snooze button= P(A) = 20%. Also mean P(A') = 80%
2. The probability to miss the bus= B
If Josiah hits the snooze button (A is happen), he misses the bus(B) 25% of the time. It mean P(B | A) = 25%
If Josiah doesn't hit the snooze button (A didn't happen), he won't miss the bus. It mean P (B | A') = 0%
If alarm woke Josiah 120 times , expected times that Josiah miss the bus will be:
P(B | A)* 120 * P(A) + P (B | A') * 120 * P(A') = 25%*20%*120 + 0% * 75%*120 = 6 times
Answer:
Step-by-step explanation:
To solve this problem we must pay attention to the following data supplied:
- f It is the number of figurines that remain to be painted.
- t amount of time, in minutes, that Colin spends painting
- Colin takes 20 minutes painting each figurines.
- After painting 60 min, he still has 9 figurines left. f (60) = 9
If he takes 20 minutes painting 1, it means that in 60 minutes he has painted 3 and he has 9 left.
Then, at the beginning he has 9 +3 figurines to be painted.
With these two points we can find the function:
If m is the slope of the line, then:
Where by definition 
Finally the formula is:
Answer:
Since the name indicates Minimum Variance Unbiased Estimator-first of all it is a parameter estimator. Secondly, it is an unbiased estimator so that the sample is carried out randomly. I.e. whenever a sample is chosen, there is no personal bias.
Then we can consider more than one sample-based unbiased estimator but sometimes they can vary in variation. But we have always intended to select an estimator that has minimal variance.
Therefore if the unbiased estimator has minimal variation between all unbiased class estimators then it is known as a good estimator.
The advantage of MVUE is that it is impartial and has a minimal variance of all unbiased estimators amongst the groups.
At times we get an estimator such as MLE which is not unbiased because the sample can be personally biased. Now let us assume an instructor needs to find the lowest marks in a physics class. Presume an instructor picks a sample and interprets the lowest possible marks.
Again the mistake could be that the instructor may choose his favorite sample learners because the sample might not be selected randomly. Therefore it is important to select an unbiased estimate with a minimum variance.
